409 results on '"Pirotta, M"'
Search Results
2. The Colorectal cancer RISk Prediction (CRISP) trial: a randomised controlled trial of a decision support tool for risk-stratified colorectal cancer screening
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Emery, JD, Jenkins, MA, Saya, S, Chondros, P, Oberoi, J, Milton, S, Novy, K, Habgood, E, Karnchanachari, N, Pirotta, M, Trevena, L, Bickerstaffe, A, Lourenco, RDA, Crothers, A, Ouakrim, DA, Flander, L, Dowty, JG, Walter, FM, Clark, M, Doncovio, S, Etemadmoghadam, D, Fishman, G, Macrae, F, Winship, I, McIntosh, JG, Emery, JD, Jenkins, MA, Saya, S, Chondros, P, Oberoi, J, Milton, S, Novy, K, Habgood, E, Karnchanachari, N, Pirotta, M, Trevena, L, Bickerstaffe, A, Lourenco, RDA, Crothers, A, Ouakrim, DA, Flander, L, Dowty, JG, Walter, FM, Clark, M, Doncovio, S, Etemadmoghadam, D, Fishman, G, Macrae, F, Winship, I, and McIntosh, JG
- Abstract
BACKGROUND: A risk-stratified approach to colorectal cancer (CRC) screening could result in a more acceptable balance of benefits and harms, and be more cost-effective. AIM: To determine the effect of a consultation in general practice using a computerised risk assessment and decision support tool (Colorectal cancer RISk Prediction, CRISP) on risk-appropriate CRC screening. DESIGN AND SETTING: Randomised controlled trial in 10 general practices in Melbourne, Australia, from May 2017 to May 2018. METHOD: Participants were recruited from a consecutive sample of patients aged 50-74 years attending their GP. Intervention consultations included CRC risk assessment using the CRISP tool and discussion of CRC screening recommendations. Control group consultations focused on lifestyle CRC risk factors. The primary outcome was risk-appropriate CRC screening at 12 months. RESULTS: A total of 734 participants (65.1% of eligible patients) were randomised (369 intervention, 365 control); the primary outcome was determined for 722 (362 intervention, 360 control). There was a 6.5% absolute increase (95% confidence interval [CI] = -0.28 to 13.2) in risk-appropriate screening in the intervention compared with the control group (71.5% versus 65.0%; odds ratio [OR] 1.36, 95% CI = 0.99 to 1.86, P = 0.057). In those due CRC screening during follow-up, there was a 20.3% (95% CI = 10.3 to 30.4) increase (intervention 59.8% versus control 38.9%; OR 2.31, 95% CI = 1.51 to 3.53, P<0.001) principally by increasing faecal occult blood testing in those at average risk. CONCLUSION: A risk assessment and decision support tool increases risk-appropriate CRC screening in those due screening. The CRISP intervention could commence in people in their fifth decade to ensure people start CRC screening at the optimal age with the most cost-effective test.
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- 2023
3. Effectiveness of a New Service Delivery Model for Management of Knee Osteoarthritis in Primary Care: A Cluster Randomized Controlled Trial
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Hunter, DJJ, Bowden, JLL, Hinman, RSS, Egerton, T, Briggs, AMM, Bunker, SJJ, French, SDD, Pirotta, M, Shrestha, R, Schofield, DJJ, Schuck, K, Zwar, NAA, Silva, SSM, Heller, GZZ, Bennell, KLL, PARTNER, ST, Hunter, DJJ, Bowden, JLL, Hinman, RSS, Egerton, T, Briggs, AMM, Bunker, SJJ, French, SDD, Pirotta, M, Shrestha, R, Schofield, DJJ, Schuck, K, Zwar, NAA, Silva, SSM, Heller, GZZ, Bennell, KLL, and PARTNER, ST
- Abstract
OBJECTIVE: To evaluate the effectiveness and health costs of a new primary care service delivery model (the Optimising Primary Care Management of Knee Osteoarthritis [PARTNER] model) to improve health outcomes for patients with knee osteoarthritis (OA) compared to usual care. METHODS: This study was a 2-arm, cluster, superiority, randomized controlled trial with randomization at the general practice level, undertaken in Victoria and New South Wales, Australia. We aimed to recruit 44 practices and 572 patients age ≥45 years with knee pain for >3 months. Professional development opportunities on best practice OA care were provided to intervention group general practitioners (GPs). All recruited patients had an initial GP visit to confirm knee OA diagnosis. Control patients continued usual GP care, and intervention patients were referred to a centralized care support team (CST) for 12-months. Via telehealth, the CST provided OA education and an agreed OA action plan focused on muscle strengthening, physical activity, and weight management. Primary outcomes were patient self-reported change in knee pain (Numerical Rating Scale [range 0-10; higher score = worse]) and physical function (Knee Injury and Osteoarthritis Outcome Score activities of daily living subscale [range 0-100; higher score = better] at 12 months. Health care cost outcomes included costs of medical visits and prescription medications over the 12-month period. RESULTS: Recruitment targets were not reached. A total of 38 practices and 217 patients were recruited. The intervention improved pain by 0.8 of 10 points (95% confidence interval [95% CI] 0.2, 1.4) and function by 6.5 of 100 points (95% CI 2.3, 10.7), more than usual care at 12 months. Total costs of medical visits and prescriptions were $3,940 (Australian) for the intervention group versus $4,161 for usual care. This difference was not statistically significant. CONCLUSION: The PARTNER model improved knee pain and function more than usual GP care
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- 2023
4. Correction to: Effectiveness of a new model of primary care management on knee pain and function in patients with knee osteoarthritis: Protocol for THE PARTNER STUDY
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Hunter, D. J., Hinman, R. S., Bowden, J. L., Egerton, T., Briggs, A. M., Bunker, S. J., Kasza, J., Forbes, A. B., French, S. D., Pirotta, M., Schofield, D. J., Zwar, N. A., Bennell, K. L., and the PARTNER Study Team
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- 2018
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5. Treatment for recurrent vulvovaginal candidiasis (thrush)
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Cooke, G, Watson, C, Deckx, L, Pirotta, M, Smith, J, van Driel, ML, Cooke, G, Watson, C, Deckx, L, Pirotta, M, Smith, J, and van Driel, ML
- Abstract
BACKGROUND: Recurrent vulvovaginal candidiasis (RVVC) affects up to 5% of women. No comprehensive systematic review of treatments for RVVC has been published. OBJECTIVES: The primary objective was to assess the effectiveness and safety of pharmacological and non-pharmacological treatments for RVVC. The secondary objective was to assess patient preference of treatment options. SEARCH METHODS: We conducted electronic searches of bibliographic databases, including CENTRAL, MEDLINE, Embase, and CINAHL (search date 6 October 2021). We also handsearched reference lists of identified trials and contacted authors of identified trials, experts in RVVC, and manufacturers of products for vulvovaginal candidiasis. SELECTION CRITERIA: We considered all published and unpublished randomised controlled trials evaluating RVVC treatments for at least six months, in women with four or more symptomatic episodes of vulvovaginal candidiasis in the past year. We excluded women with immunosuppressive disorders or taking immunosuppressant medication. We included women with diabetes mellitus and pregnant women. Diagnosis of RVVC must have been confirmed by presence of symptoms and a positive culture and/or microscopy. We included all drug and non-drug therapies and partner treatment, assessing the following primary outcomes: • number of clinical recurrences per participant per year (recurrence defined as clinical signs and positive culture/microscopy); • proportion of participants with at least one clinical recurrence during the treatment and follow-up period; and • adverse events. DATA COLLECTION AND ANALYSIS: Two authors independently reviewed titles and abstracts to identify eligible trials. Duplicate data extraction was completed independently by two authors. We assessed risk of bias as described in the Cochrane Handbook for Systematic Reviews of Interventions. We used the fixed-effects model for pooling and expressed the results as risk ratio (RR) with 95% confidence intervals (CI). Whe
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- 2022
6. Characteristics of Victorian general practitioners who practise complementary therapies
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Farish, SJ, Kotsirilos, V, Pirotta, M, and Cohen, MM
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- 2002
7. Acupuncture for chronic knee pain: a randomized clinical trial
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Hinman, R. S., McCrory, P., Pirotta, M., Relf, I., Forbes, A., Crossley, K. M., Williamson, E., Kyriakides, M., Novy, K., Metcalf, B. R., and Hinman, Rana S.
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- 2015
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8. Data monitoring (and safety) committees - what are they and why do we need them?
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Primary Care Alliance for Clinical Trials (PACT) Network., Chondros, P, and Pirotta, M
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- 2004
9. Safe policy iteration: A monotonically improving approximate policy iteration approach
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Metelli, A. M., Pirotta, M., Calandriello, D., and Marcello Restelli
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Approximate Dynamic Programming ,Policy Oscillation ,Policy Chattering ,Approximate Policy Iteration ,Reinforcement Learning ,Markov Decision Process - Published
- 2021
10. Integrative Medicine in General Practice in Australia: A Mixed-Methods Study Exploring Education Pathways and Training Needs.
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Ee, C, Templeman, K, Forth, A, Kotsirilos, V, Singleton, G, Deed, G, Dubois, S, Pirotta, M, Harnett, J, Myers, S, Hunter, J, Ee, C, Templeman, K, Forth, A, Kotsirilos, V, Singleton, G, Deed, G, Dubois, S, Pirotta, M, Harnett, J, Myers, S, and Hunter, J
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BACKGROUND: Globally, a substantial proportion of general practitioners (GPs) incorporate integrative medicine (IM) into their clinical practice. OBJECTIVE: This study aimed to map the IM education and training pathways and needs of a cohort of Australian GPs who are members of the Royal Australian College of General Practitioners' IM Specific Interest Network, which is a group of GPs with interest in IM. METHODS: We conducted a mixed-methods study comprising of an online, cross-sectional survey supplemented with in-depth semi-structured interviews. Data from the survey and interviews were initially analysed separately and then combined. RESULTS: Eighty-three (83) of 505 eligible GPs/GPs in training (16.4%) participated in the survey, and 15 GPs were interviewed. Results from the two datasets either converged or were complementary. Almost half (47%) of survey respondents had undertaken formal undergraduate or postgraduate IM education, a short course (63%), informal education (71%) or self-education (54%), in at least one of 20 IM modalities listed. Interviewees affirmed there was no single education pathway in IM. Survey respondents who identified as practicing IM were significantly more likely to have IM education, positive attitudes towards IM, particularly natural products, and higher self-rated IM knowledge and competencies. However, knowledge gaps were identified in professional skills domains of population health and context, and organisational and legal dimensions of applied IM practice. Interviewees also highlighted a range of professional and systemic barriers to the practice of IM, education, and training. There was broad support for recognition of IM as a sub-specialty through formalised post-graduate training and accreditation. Most survey respondents (62%) expressed interest in post-fellowship recognition of GPs with advanced skills in IM. CONCLUSION: Our findings demonstrate that it is important to define best practice in IM for GPs in Australia and p
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- 2021
11. The effects of oral garlic on vaginal candida colony counts: a randomised placebo controlled double-blind trial
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Watson, C J, Grando, D, Fairley, C K, Chondros, P, Garland, S M, Myers, S P, and Pirotta, M
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- 2014
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12. Adversarial Attacks on Linear Contextual Bandits
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Garcelon, E., Baptiste Rozière, Meunier, L., Tarbouriech, J., Teytaud, O., Lazaric, A., Pirotta, M., Facebook AI Research [Paris] (FAIR), Facebook, Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Scool (Scool), and Meunier, Laurent
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,Statistics - Machine Learning ,Machine Learning (stat.ML) ,[INFO]Computer Science [cs] ,[MATH] Mathematics [math] ,[INFO] Computer Science [cs] ,[MATH]Mathematics [math] ,Machine Learning (cs.LG) - Abstract
Contextual bandit algorithms are applied in a wide range of domains, from advertising to recommender systems, from clinical trials to education. In many of these domains, malicious agents may have incentives to attack the bandit algorithm to induce it to perform a desired behavior. For instance, an unscrupulous ad publisher may try to increase their own revenue at the expense of the advertisers; a seller may want to increase the exposure of their products, or thwart a competitor's advertising campaign. In this paper, we study several attack scenarios and show that a malicious agent can force a linear contextual bandit algorithm to pull any desired arm $T - o(T)$ times over a horizon of $T$ steps, while applying adversarial modifications to either rewards or contexts that only grow logarithmically as $O(\log T)$. We also investigate the case when a malicious agent is interested in affecting the behavior of the bandit algorithm in a single context (e.g., a specific user). We first provide sufficient conditions for the feasibility of the attack and we then propose an efficient algorithm to perform the attack. We validate our theoretical results on experiments performed on both synthetic and real-world datasets.
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- 2020
13. General practitioners and St. John's Wort: A question of regulation or knowledge?
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McGarry, H., Pirotta, M., Hegarty, K., and Gunn, J.
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Physicians (General practice) -- Laws, regulations and rules ,Medicine, Botanic -- Laws, regulations and rules ,Medicine, Herbal -- Laws, regulations and rules ,Government regulation ,Health care industry - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ctim.2006.02.002 Byline: H. McGarry, M. Pirotta, K. Hegarty, J. Gunn Keywords: Hypericum perforatum; General practice; Depression; Regulation Abstract: St. John's Wort (SJW), also known as Hypericum perforatum, is a herbal remedy available over-the-counter. There is evidence that it can treat mild to moderate depression but has potential side effects and important drug interactions. Author Affiliation: Department of General Practice, University of Melbourne, 200 Berkeley Street, Carlton, Vic. 3053, Australia Article Note: (footnote) [star] Funding for this project was provided by the General Practice Education and Training Registrar Scholarship and Research Fund. All researchers are independent of the funding body.
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- 2007
14. Postnatal probiotics and allergic disease in very preterm infants: Sub-study to the ProPrems randomized trial
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Plummer, EL, Chebar Lozinsky, A, Tobin, JM, Uebergang, JB, Axelrad, C, Garland, SM, Jacobs, SE, Tang, MLK, Tabrizi, SN, Pirotta, M, Donath, S, Opie, GF, Isaacs, D, Evans, NJ, Kaldor, JM, Doyle, LW, Morley, CJ, Tan, K, Lewis, A, Veldman, A, Travadi, J, Wright, IMR, Osborn, DA, Sinn, J, Levison, J, Stack, JA, DePaoli, AG, Austin, NC, Darlow, BA, Alsweiler, JM, Buksh, MJ, Plummer, EL, Chebar Lozinsky, A, Tobin, JM, Uebergang, JB, Axelrad, C, Garland, SM, Jacobs, SE, Tang, MLK, Tabrizi, SN, Pirotta, M, Donath, S, Opie, GF, Isaacs, D, Evans, NJ, Kaldor, JM, Doyle, LW, Morley, CJ, Tan, K, Lewis, A, Veldman, A, Travadi, J, Wright, IMR, Osborn, DA, Sinn, J, Levison, J, Stack, JA, DePaoli, AG, Austin, NC, Darlow, BA, Alsweiler, JM, and Buksh, MJ
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BACKGROUND: Probiotic supplementation to mothers and/or their term-born infants has been suggested to prevent allergic disease, in particular eczema; however, no studies have investigated probiotics for prevention of allergic diseases in very preterm infants. We evaluated the effect of a postnatal probiotic combination on development of allergic diseases in very preterm infants. METHODS: This sub-study was an a priori secondary outcome of the ProPrems multi-center, double-blind, placebo-controlled randomized trial (ANZCTR:12607000144415). ProPrems randomized 1099 very preterm infants to receive a probiotic combination or placebo from soon after birth until discharge from hospital or term corrected age (CA), whichever was earlier. Allergic disease (eczema, atopic eczema, food allergy, wheeze, atopic sensitization) was assessed in a subgroup of ProPrems infants (n = 281) as close to 12 months CA as possible by questionnaire, clinical examination, and skin prick tests to common allergens. RESULTS: There was no difference in eczema incidence between the probiotic and placebo groups (35[30%] of 118 infants vs 37[27%] of 137 infants, respectively, absolute difference 2.65%, 95% CI -8.45 to 13.75). Similarly, the incidence of atopic eczema (6[5%] of 118 vs 3[2%] of 137), food allergy (4[3%] of 124 vs 2[1%] of 154), wheeze (39[31%] of 127 vs 45[29%] of 154), and atopic sensitization (14[13%] of 106 vs 13[11%] of 123) were similar between the probiotic and placebo groups. CONCLUSION: This study found no effect of postnatal administration of a probiotic combination on the incidence of allergic diseases or atopic sensitization in the first 2 years of life in children born very preterm. Evidence that probiotics are effective for prevention of allergic disease in premature infants remains lacking; adequately powered randomized controlled trials evaluating probiotic supplementation for allergy prevention in very preterm infants are needed.
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- 2020
15. Protocol for the process and feasibility evaluations of a new model of primary care service delivery for managing pain and function in patients with knee osteoarthritis (PARTNER) using a mixed methods approach
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Bowden, JL, Egerton, T, Hinman, RS, Bennell, KL, Briggs, AM, Bunker, SJ, Kasza, J, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, Hunter, DJ, Bowden, JL, Egerton, T, Hinman, RS, Bennell, KL, Briggs, AM, Bunker, SJ, Kasza, J, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, and Hunter, DJ
- Abstract
INTRODUCTION: This protocol outlines the rationale, design and methods for the process and feasibility evaluations of the primary care management on knee pain and function in patients with knee osteoarthritis (PARTNER) study. PARTNER is a randomised controlled trial to evaluate a new model of service delivery (the PARTNER model) against 'usual care'. PARTNER is designed to encourage greater uptake of key evidence-based non-surgical treatments for knee osteoarthritis (OA) in primary care. The intervention supports general practitioners (GPs) to gain an understanding of the best management options available through online professional development. Their patients receive telephone advice and support for OA management by a centralised, multidisciplinary 'Care Support Team'. We will conduct concurrent process and feasibility evaluations to understand the implementation of this new complex health intervention, identify issues for consideration when interpreting the effectiveness outcomes and develop recommendations for future implementation, cost effectiveness and scalability. METHODS AND ANALYSIS: The UK Medical Research Council Framework for undertaking a process evaluation of complex interventions and the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) frameworks inform the design of these evaluations. We use a mixed-methods approach including analysis of survey data, administrative records, consultation records and semistructured interviews with GPs and their enrolled patients. The analysis will examine fidelity and dose of the intervention, observations of trial setup and implementation and the quality of the care provided. We will also examine details of 'usual care'. The semistructured interviews will be analysed using thematic and content analysis to draw out themes around implementation and acceptability of the model. ETHICS AND DISSEMINATION: The primary and substudy protocols have been approved by the Human Research Ethics Committee of T
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- 2020
16. PARTNER: a service delivery model to implement optimal primary care management of people with knee osteoarthritis: description of development
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Egerton, T, Hinman, RS, Hunter, DJ, Bowden, JL, Nicolson, PJA, Atkins, L, Pirotta, M, Bennell, KL, Egerton, T, Hinman, RS, Hunter, DJ, Bowden, JL, Nicolson, PJA, Atkins, L, Pirotta, M, and Bennell, KL
- Abstract
OBJECTIVE: Implementation strategies, such as new models of service delivery, are needed to address evidence practice gaps. This paper describes the process of developing and operationalising a new model of service delivery to implement recommended care for people with knee osteoarthritis (OA) in a primary care setting. METHODS: Three development stages occurred concurrently and iteratively. Each stage considered the healthcare context and was informed by stakeholder input. Stage 1 involved the design of a new model of service delivery (PARTNER). Stage 2 developed a behavioural change intervention targeting general practitioners (GPs) using the behavioural change wheel framework. In stage 3, the 'Care Support Team' component of the service delivery model was operationalised. RESULTS: The focus of PARTNER is to provide patients with education, exercise and/or weight loss advice, and facilitate effective self-management through behavioural change support. Stage 1 model design: based on clinical practice guidelines, known evidence practice gaps in current care, chronic disease management frameworks, input from stakeholders and the opportunities and constraints afforded by the Australian primary care context, we developed the PARTNER service-delivery model. The key components are: (1) an effective GP consultation and (2) follow-up and ongoing care provided remotely (telephone/email/online resources) by a 'Care Support Team'. Stage 2 GP behavioural change intervention: a multimodal behavioural change intervention was developed comprising a self-audit/feedback activity, online professional development and desktop software to provide decision support, patient information resources and a referral mechanism to the 'Care Support Team'. Stage 3 operationalising the 'care support team'-staff recruited and trained in evidence-based knee OA management and behavioural change methodology. CONCLUSION: The PARTNER model is the result of a comprehensive implementation strategy develop
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- 2020
17. Knowledge, attitudes and practices of primary health care providers towards oral health of preschool children in Qatar.
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Alkhtib, A, Temple-Smith, M, Messer, LB, Pirotta, M, Morgan, M, Sajnani, A, Alkhtib, A, Temple-Smith, M, Messer, LB, Pirotta, M, Morgan, M, and Sajnani, A
- Abstract
OBJECTIVE: Health care providers can effectively participate in oral health promotion for children in primary care setting. Currently, there are no oral health promotion programs that involve primary health care professionals in Qatar. Hence, this study was undertaken to examine the knowledge, attitudes and practices of all health professionals who work in the Well baby Clinics in the primary health centers. METHOD: A 23-item questionnaire was distributed across 20 primary health centers. The questionnaire sought information on the demographic data of health professionals, their knowledge of oral health and their practices and attitudes towards critical oral health issues. Data were examined by Pearson Chi-squared tests or Fisher's Exact test (p = 0.05). RESULTS: The response rate of the health professionals was 67%. Only 35.7% of the 225 participants received some form of oral health training during their undergraduate programme. The participants would assess the dental problem of the child (p = 0.05) and discuss the importance of tooth brushing with the mother (p = 0.03). A significant number of respondents (p = 0.04) were unlikely to assess the children's fluoride intake. There was a significant difference in the group of participants that would examine the child's teeth (p = 0.1) and counsel the mothers on prevention of dental problems (p = 0.01). This group would also refer children to dentist at 12 months of age (p = 0.05). CONCLUSIONS: Health professionals had a positive attitude towards the anticipatory guidance elements of oral health. However, the knowledge of healthcare professionals on childhood oral health is rather limited.
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- 2020
18. O3-S5.06 Double-blind randomised placebo controlled trial of oral metronidazole in combination with either vaginal clindamycin or an oestrogen-containing vaginal probiotic for the treatment of bacterial vaginosis
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Bradshaw, C, Pirotta, M, Hocking, J, Garland, S, de Guigand, D, Fehler, G, Morrow, A, Walker, S, Vodstrcil, L, and Fairley, C
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- 2011
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19. The psychosocial burden of human papillomavirus related disease and screening interventions
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Pirotta, M, Ung, L, Stein, A, Conway, E L, Mast, T C, Fairley, C K, and Garland, S
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- 2009
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20. Screening pregnant women for chlamydia: what are the predictors of infection?
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Chen, M Y, Fairley, C K, De Guingand, D, Hocking, J, Tabrizi, S, Wallace, E M, Grover, S, Gurrin, L, Carter, R, Pirotta, M, and Garland, S
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- 2009
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21. Acupuncture in musculoskeletal disorders - is there a point?
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Pirotta, M
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- 2007
22. Response to Dr Pakula (AFP September). -letter
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Pirotta, M
- Published
- 2005
23. Quantifying use of a health virtual community of practice for general practitioners’ continuing professional development: A novel methodology and pilot evaluation
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Murad, A., Hyde, N., Chang, S., Lederman, R., Bosua, R., Pirotta, M., Audehm, R., Yates, C.J., Briggs, Andrew, Gorelik, A., Chiang, C., Wark, J.D., Murad, A., Hyde, N., Chang, S., Lederman, R., Bosua, R., Pirotta, M., Audehm, R., Yates, C.J., Briggs, Andrew, Gorelik, A., Chiang, C., and Wark, J.D.
- Abstract
Background: Health care practitioners (HPs), in particular general practitioners (GPs), are increasingly adopting Web-based social media platforms for continuing professional development (CPD). As GPs are restricted by time, distance, and demanding workloads, a health virtual community of practice (HVCoP) is an ideal solution to replace face-to-face CPD with Web-based CPD. However, barriers such as time and work schedules may limit participation in an HVCoP. Furthermore, it is difficult to gauge whether GPs engage actively or passively in HVCoP knowledge-acquisition for Web-based CPD, as GPs’ competencies are usually measured with pre- and posttests. Objective: This study investigated a method for measuring the engagement features needed for an HVCoP (the Community Fracture Capture [CFC] Learning Hub) for learning and knowledge sharing among GPs for their CPD activity. Methods: A prototype CFC Learning Hub was developed using an Igloo Web-based social media software platform and involved a convenience sample of GPs interested in bone health topics. This Hub, a secure Web-based community site, included 2 key components: an online discussion forum and a knowledge repository (the Knowledge Hub). The discussion forum contained anonymized case studies (contributed by GP participants) and topical discussions (topics that were not case studies). Using 2 complementary tools (Google Analytics and Igloo Statistical Tool), we characterized individual participating GPs’ engagement with the Hub. We measured the GP participants’ behavior by quantifying the number of online sessions of the participants, activities undertaken within these online sessions, written posts made per learning topic, and their time spent per topic. We calculated time spent in both active and passive engagement for each topic. Results: Seven GPs participated in the CFC Learning Hub HVCoP from September to November 2017. The complementary tools successfully captured the GP participants’ engagement in the Hu
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- 2019
24. Complementary therapies in general practice. -letter
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Farish, S, Cohen, M, Pirotta, M, Kotsirilos, V, and Slader, C
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- 2003
25. Chinese herb usage among Chinese Australians with type 2 diabetes. -letter
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Pirotta, M, Lau, PM, Wong, AK, and Prabaharan, V
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- 2008
26. Stochastic Variance-Reduced Policy Gradient
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Matteo Papini, Binaghi, D., Canonaco, G., Pirotta, M., Restelli, M., Department of Electronics, Information, and Bioengineering [Milano] (DEIB), Politecnico di Milano [Milan] (POLIMI), Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and ANR-14-CE24-0010,ExTra-Learn,Extraction et transfert de connaissances dans l'apprentissage par renforcement(2014)
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FOS: Computer and information sciences ,Computer Science::Machine Learning ,Computer Science - Learning ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,Statistics - Machine Learning ,Machine Learning (stat.ML) ,Machine Learning (cs.LG) - Abstract
International audience; In this paper, we propose a novel reinforcement-learning algorithm consisting in a stochastic variance-reduced version of policy gradient for solving Markov Decision Processes (MDPs). Stochastic variance-reduced gradient (SVRG) methods have proven to be very successful in supervised learning. However, their adaptation to policy gradient is not straightforward and needs to account for I) a non-concave objective function; II) approximations in the full gradient computation; and III) a non-stationary sampling process. The result is SVRPG, a stochastic variance-reduced policy gradient algorithm that leverages on importance weights to preserve the unbiasedness of the gradient estimate. Under standard assumptions on the MDP, we provide convergence guarantees for SVRPG with a convergence rate that is linear under increasing batch sizes. Finally, we suggest practical variants of SVRPG, and we empirically evaluate them on continuous MDPs.
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- 2018
27. Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
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Fruit, R., Pirotta, M., Lazaric, A., Ronald Ortner, Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Facebook AI Research [Paris] (FAIR), Facebook, Montanuniversität Leoben (MUL), ANR-14-CE24-0010,ExTra-Learn,Extraction et transfert de connaissances dans l'apprentissage par renforcement(2014), and European Project: I 3437 ,DELTA(2018)
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,Statistics - Machine Learning ,Machine Learning (stat.ML) ,Machine Learning (cs.LG) - Abstract
International audience; We introduce SCAL, an algorithm designed to perform efficient exploration-exploitation in any unknown weakly-communicating Markov decision process (MDP) for which an upper bound $c$ on the span of the optimal bias function is known. For an MDP with $S$ states, $A$ actions and $\Gamma \leq S$ possible next states, we prove a regret bound of $\widetilde{O}(c\sqrt{\Gamma SAT})$, which significantly improves over existing algorithms (e.g., UCRL and PSRL), whose regret scales linearly with the MDP diameter $D$. In fact, the optimal bias span is finite and often much smaller than $D$ (e.g., $D=\infty$ in non-communicating MDPs). A similar result was originally derived by Bartlett and Tewari (2009) for REGAL.C, for which no tractable algorithm is available. In this paper, we relax the optimization problem at the core of REGAL.C, we carefully analyze its properties, and we provide the first computationally efficient algorithm to solve it. Finally, we report numerical simulations supporting our theoretical findings and showing how SCAL significantly outperforms UCRL in MDPs with large diameter and small span.
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- 2018
28. Reinforcement Learning Control of Functional Electrical Stimulation of the upper limb: a feasibility study
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DAVIDE DI FEBBO, Emilia Ambrosini, Pirotta, M., Rojas, E., Marcello Restelli, Alessandra Pedrocchi, and Simona Ferrante
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Functional Electrical Stimulation, Reinforcement Learning, Rehabilitation, Hybrid Robotic Systems ,Functional Electrical Stimulation ,Rehabilitation ,Hybrid Robotic Systems ,Reinforcement Learning - Published
- 2018
29. Importance Weighted Transfer of Samples in Reinforcement Learning
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Tirinzoni, A., Sessa, A., Pirotta, M., Marcello Restelli, Department of Electronics, Information, and Bioengineering [Milano] (DEIB), Politecnico di Milano [Milan] (POLIMI), Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and ANR-14-CE24-0010,ExTra-Learn,Extraction et transfert de connaissances dans l'apprentissage par renforcement(2014)
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FOS: Computer and information sciences ,Computer Science - Learning ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,Statistics - Machine Learning ,Machine Learning (stat.ML) ,Machine Learning (cs.LG) - Abstract
We consider the transfer of experience samples (i.e., tuples < s, a, s', r >) in reinforcement learning (RL), collected from a set of source tasks to improve the learning process in a given target task. Most of the related approaches focus on selecting the most relevant source samples for solving the target task, but then all the transferred samples are used without considering anymore the discrepancies between the task models. In this paper, we propose a model-based technique that automatically estimates the relevance (importance weight) of each source sample for solving the target task. In the proposed approach, all the samples are transferred and used by a batch RL algorithm to solve the target task, but their contribution to the learning process is proportional to their importance weight. By extending the results for importance weighting provided in supervised learning literature, we develop a finite-sample analysis of the proposed batch RL algorithm. Furthermore, we empirically compare the proposed algorithm to state-of-the-art approaches, showing that it achieves better learning performance and is very robust to negative transfer, even when some source tasks are significantly different from the target task., Accepted at ICML 2018
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- 2018
30. Optimising primary care management of knee osteoarthritis (the partner study): lessons from a non-randomised pilot study
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Bowden, J.L., primary, Schuck, K., additional, Marshall, C., additional, King, M., additional, Bennell, K.L., additional, Hinman, R.S., additional, Egerton, T., additional, Briggs, A.M., additional, Bunker, S.J., additional, Forbes, A.B., additional, French, S.D., additional, Kasza, J., additional, Nicholson, P., additional, Pirotta, M., additional, Schofield, D.J., additional, Zwar, N.A., additional, and Hunter, D.J., additional
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- 2019
- Full Text
- View/download PDF
31. Compatible Reward Inverse Reinforcement Learning
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Alberto Maria Metelli, Pirotta, M., Restelli, M., Department of Electronics, Information, and Bioengineering [Milano] (DEIB), Politecnico di Milano [Milan] (POLIMI), Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
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[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] - Abstract
International audience; Inverse Reinforcement Learning (IRL) is an effective approach to recover a reward function that explains the behavior of an expert by observing a set of demonstrations. This paper is about a novel model-free IRL approach that, differently from most of the existing IRL algorithms, does not require to specify a function space where to search for the expert's reward function. Leveraging on the fact that the policy gradient needs to be zero for any optimal policy, the algorithm generates a set of basis functions that span the subspace of reward functions that make the policy gradient vanish. Within this subspace, using a second-order criterion, we search for the reward function that penalizes the most a deviation from the expert's policy. After introducing our approach for finite domains, we extend it to continuous ones. The proposed approach is empirically compared to other IRL methods both in the (finite) Taxi domain and in the (continuous) Linear Quadratic Gaussian (LQG) and Car on the Hill environments.
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- 2017
32. Adaptive Batch Size for Safe Policy Gradients
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Papini, M., Pirotta, M., Marcello Restelli, Department of Electronics, Information, and Bioengineering [Milano] (DEIB), Politecnico di Milano [Milan] (POLIMI), Sequential Learning (SEQUEL), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
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[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] - Abstract
International audience; Policy gradient methods are among the best Reinforcement Learning (RL) techniques to solve complex control problems. In real-world RL applications, it is common to have a good initial policy whose performance needs to be improved and it may not be acceptable to try bad policies during the learning process. Although several methods for choosing the step size exist, research paid less attention to determine the batch size, that is the number of samples used to estimate the gradient direction for each update of the policy parameters. In this paper, we propose a set of methods to jointly optimize the step and the batch sizes that guarantee (with high probability) to improve the policy performance after each update. Besides providing theoretical guarantees, we show numerical simulations to analyse the behaviour of our methods.
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- 2017
33. Primary dysmenorrhoea: evidence for complementary medicine
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Ee, C and Pirotta, M
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- 2006
34. Probiotics, prematurity and neurodevelopment: Follow-up of a randomised trial.
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Stack J.A., Lewis A., Veldman A., Carse E., Travadi J., Wright I.M.R., Osborn D.A., Sinn J., Bowen J., Levison J., Tan K., DePaoli A.G., Austin N.C., Darlow B.A., Alsweiler J.M., Buksh M.J., Donath S., Opie G.F., Anderson P.J., Garland S.M., Cheong J.L.Y., Gold L., Sia K.L., Tobin J.M., Tabrizi S.N., Pirotta M., Tang M.L.K., Morley C.J., Jacobs S.E., Hickey L., Stack J.A., Lewis A., Veldman A., Carse E., Travadi J., Wright I.M.R., Osborn D.A., Sinn J., Bowen J., Levison J., Tan K., DePaoli A.G., Austin N.C., Darlow B.A., Alsweiler J.M., Buksh M.J., Donath S., Opie G.F., Anderson P.J., Garland S.M., Cheong J.L.Y., Gold L., Sia K.L., Tobin J.M., Tabrizi S.N., Pirotta M., Tang M.L.K., Morley C.J., Jacobs S.E., and Hickey L.
- Abstract
Objective To determine the impact of one probiotics combination on the neurodevelopment of very preterm children at 2-5 years corrected gestational age (CA). Design Follow-up study of survivors of a double-blinded, placebo-controlled, randomised trial of probiotic effects on late-onset sepsis in very preterm infants that found reduced necrotising enterocolitis. setting 10 tertiary perinatal centres in Australia and New Zealand. Patients 1099 very preterm infants born <32 weeks' gestation and weighing <1500 g. Intervention Probiotics (Bifidobacterium infantis, Streptococcus thermophilus and Bifidobacterium lactis) or placebo administered from birth until discharge home or term CA, whichever came sooner. Main outcome measures Major neurodevelopmental impairment comprised any of moderate/severe cerebral palsy (Gross Motor Function Classification System score 2-5), motor impairment (Bayley-III Motor Composite Scale <-2SD or Movement Assessment Battery for Children <15th centile if >>42 months' CA), cognitive impairment (Bayley-III Composite Cognitive or Language Scales <-2SD or Wechsler Preschool and Primary Scale of Intelligence Full Scale Intelligence Quotient <-2SD if >>42 months' CA), blindness or deafness. results Outcome data were available for 735 (67%) participants, with 71 deaths and 664/1028 survivors assessed at a mean age of 30 months. Survival free of major neurodevelopmental impairment was comparable between groups (probiotics 281 (75.3%) vs placebo 271 (74.9%); relative risk 1.01 (95% CI 0.93 to 1.09)). Rates of deafness were lower in probiotic-treated children (0.6% vs 3.4%). Conclusion Administration of the probiotics combination Bifidobacterium infantis, Streptococcus thermophilus and Bifidobacterium lactis to very preterm babies from soon after birth until discharge home or term CA did not adversely affect neurodevelopment or behaviour in early childhood.Copyright © Article author(s) (or their employer(s) unless otherwise stated in the text of the art
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- 2018
35. Effectiveness of a new model of primary care management on knee pain and function in patients with knee osteoarthritis: Protocol for THE PARTNER STUDY
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Hunter, DJ, Hinman, RS, Bowden, JL, Egerton, T, Briggs, AM, Bunker, SJ, Kasza, J, Forbes, AB, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, Bennell, KL, Hunter, DJ, Hinman, RS, Bowden, JL, Egerton, T, Briggs, AM, Bunker, SJ, Kasza, J, Forbes, AB, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, and Bennell, KL
- Abstract
BACKGROUND: To increase the uptake of key clinical recommendations for non-surgical management of knee osteoarthritis (OA) and improve patient outcomes, we developed a new model of service delivery (PARTNER model) and an intervention to implement the model in the Australian primary care setting. We will evaluate the effectiveness and cost-effectiveness of this model compared to usual general practice care. METHODS: We will conduct a mixed-methods study, including a two-arm, cluster randomised controlled trial, with quantitative, qualitative and economic evaluations. We will recruit 44 general practices and 572 patients with knee OA in urban and regional practices in Victoria and New South Wales. The interventions will target both general practitioners (GPs) and their patients at the practice level. Practices will be randomised at a 1:1 ratio. Patients will be recruited if they are aged ≥45 years and have experienced knee pain ≥4/10 on a numerical rating scale for more than three months. Outcomes are self-reported, patient-level validated measures with the primary outcomes being change in pain and function at 12 months. Secondary outcomes will be assessed at 6 and 12 months. The implementation intervention will support and provide education to intervention group GPs to deliver effective management for patients with knee OA using tailored online training and electronic medical record support. Participants with knee OA will have an initial GP visit to confirm their diagnosis and receive management according to GP intervention or control group allocation. As part of the intervention group GP management, participants with knee OA will be referred to a centralised multidisciplinary service: the PARTNER Care Support Team (CST). The CST will be trained in behaviour change support and evidence-based knee OA management. They will work with patients to develop a collaborative action plan focussed on key self-management behaviours, and communicate with the patients' GPs. Patien
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- 2018
36. Effectiveness of a new model of primary care management on knee pain and function in patients with knee osteoarthritis: Protocol for THE PARTNER STUDY (vol 19, 132, 2018)
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Hunter, DJ, Hinman, RS, Bowden, JL, Egerton, T, Briggs, AM, Bunker, SJ, Kasza, J, Forbes, AB, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, Bennell, KL, Hunter, DJ, Hinman, RS, Bowden, JL, Egerton, T, Briggs, AM, Bunker, SJ, Kasza, J, Forbes, AB, French, SD, Pirotta, M, Schofield, DJ, Zwar, NA, and Bennell, KL
- Abstract
After the publication of this protocol [1], our collaborator Prima Health solutions advised us of their intent to withdraw from the study.
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- 2018
37. The use of a risk assessment and decision support tool (CRISP) compared with usual care in general practice to increase risk-stratified colorectal cancer screening: study protocol for a randomised controlled trial
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Walker, JG, Macrae, F, Winship, I, Oberoi, J, Saya, S, Milton, S, Bickerstaffe, A, Dowty, JG, Lourenco, RDA, Clark, M, Galloway, L, Fishman, G, Walter, FM, Flander, L, Chondros, P, Ouakrim, DA, Pirotta, M, Trevena, L, Jenkins, MA, Emery, JD, Walker, JG, Macrae, F, Winship, I, Oberoi, J, Saya, S, Milton, S, Bickerstaffe, A, Dowty, JG, Lourenco, RDA, Clark, M, Galloway, L, Fishman, G, Walter, FM, Flander, L, Chondros, P, Ouakrim, DA, Pirotta, M, Trevena, L, Jenkins, MA, and Emery, JD
- Abstract
BACKGROUND: Australia and New Zealand have the highest incidence rates of colorectal cancer worldwide. In Australia there is significant unwarranted variation in colorectal cancer screening due to low uptake of the immunochemical faecal occult blood test, poor identification of individuals at increased risk of colorectal cancer, and over-referral of individuals at average risk for colonoscopy. Our pre-trial research has developed a novel Colorectal cancer RISk Prediction (CRISP) tool, which could be used to implement precision screening in primary care. This paper describes the protocol for a phase II multi-site individually randomised controlled trial of the CRISP tool in primary care. METHODS: This trial aims to test whether a standardised consultation using the CRISP tool in general practice (the CRISP intervention) increases risk-appropriate colorectal cancer screening compared to control participants who receive standardised information on cancer prevention. Patients between 50 and 74 years old, attending an appointment with their general practitioner for any reason, will be invited into the trial. A total of 732 participants will be randomised to intervention or control arms using a computer-generated allocation sequence stratified by general practice. The primary outcome (risk-appropriate screening at 12 months) will be measured using baseline data for colorectal cancer risk and objective health service data to measure screening behaviour. Secondary outcomes will include participant cancer risk perception, anxiety, cancer worry, screening intentions and health service utilisation measured at 1, 6 and 12 months post randomisation. DISCUSSION: This trial tests a systematic approach to implementing risk-stratified colorectal cancer screening in primary care, based on an individual's absolute risk, using a state-of-the-art risk assessment tool. Trial results will be reported in 2020. TRIAL REGISTRATION: Australian and New Zealand Clinical Trial Registry, ACTRN126
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- 2018
38. Correction to: Effectiveness of a new model of primary care management on knee pain and function in patients with knee osteoarthritis: Protocol for THE PARTNER STUDY
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Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Kasza, J., Forbes, A., French, S., Pirotta, M., Schofield, D., Zwar, N., Bennell, K., Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Kasza, J., Forbes, A., French, S., Pirotta, M., Schofield, D., Zwar, N., and Bennell, K.
- Abstract
After the publication of this protocol [1], our collaborator Prima Health solutions advised us of their intent to withdraw from the study. Their primary role was to provide remotely delivered weight-loss services (via the Healthy Weight for Life program) to eligible participants in the intervention group. These services were partly provided as in-kind and partly funded through the study. We have received ethical approval from the University of Sydney to replace the Healthy Weight for Life program with the Commonwealth Scientific and Industrial Research Organisation's (CSIRO) Total Wellbeing Diet. The amended weight loss advice and support paragraph of the manuscript is outlined below. All changes to the protocol were made and approved before starting the trial and were prospectively changed on our trial registration (ACT RN12617001595303). Amended weight loss advice and support paragraph: If the patient has a BMI =27 kg/m2, the patient will be offered the option of participating in the remotelydelivered weight loss program. The Australian Commonwealth Scientific and Industrial Research Organisation's (CSIRO) "Total Wellbeing Diet" is based on an evidence-based weight management strategy that utilises a structured, nutritionally balanced eating plan designed to be incorporated into a balanced lifestyle program [2, 3]. The program is a 12- week, low glycaemic index, high protein, healthy eating program with online support and tracking tools, meal plans and educational resources on a healthy diet. It is delivered by SP Health (http://www.sphealth.com/) on behalf of the CSIRO. After completion of the 12-week program, patients may elect to continue the basic program for an additional 12-weeks. Patients who elect to undertake the online weight-loss program will continue to be supported by the PARTNER Care Support Team throughout their time on the weight-loss program. This program will be undertaken in conjunction with the PARTNER exe
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- 2018
39. OPTIMISING PRIMARY CARE MANAGEMENT OF KNEE OSTEOARTHRITIS (PARTNER): PROTOCOL FOR A RANDOMISED CONTROLLED TRIAL
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Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Forbes, A., French, S., Kasza, J., Pirotta, M., Schofield, D., Zwar, N., Bennell, K., Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Forbes, A., French, S., Kasza, J., Pirotta, M., Schofield, D., Zwar, N., and Bennell, K.
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- 2018
40. Effectiveness of a new model of primary care management on knee pain and function in patients with knee osteoarthritis: Protocol for THE PARTNER STUDY
- Author
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Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Kasza, J., Forbes, A., French, S., Pirotta, M., Schofield, D., Zwar, N., Bennell, K., Shuck, K., Marshall, C., King, M., Wood, A., Hunter, D., Hinman, R., Bowden, J., Egerton, T., Briggs, Andrew, Bunker, S., Kasza, J., Forbes, A., French, S., Pirotta, M., Schofield, D., Zwar, N., Bennell, K., Shuck, K., Marshall, C., King, M., and Wood, A.
- Abstract
© 2018 The Author(s). Background: To increase the uptake of key clinical recommendations for non-surgical management of knee osteoarthritis (OA) and improve patient outcomes, we developed a new model of service delivery (PARTNER model) and an intervention to implement the model in the Australian primary care setting. We will evaluate the effectiveness and cost-effectiveness of this model compared to usual general practice care. Methods: We will conduct a mixed-methods study, including a two-arm, cluster randomised controlled trial, with quantitative, qualitative and economic evaluations. We will recruit 44 general practices and 572 patients with knee OA in urban and regional practices in Victoria and New South Wales. The interventions will target both general practitioners (GPs) and their patients at the practice level. Practices will be randomised at a 1:1 ratio. Patients will be recruited if they are aged =45 years and have experienced knee pain =4/10 on a numerical rating scale for more than three months. Outcomes are self-reported, patient-level validated measures with the primary outcomes being change in pain and function at 12 months. Secondary outcomes will be assessed at 6 and 12 months. The implementation intervention will support and provide education to intervention group GPs to deliver effective management for patients with knee OA using tailored online training and electronic medical record support. Participants with knee OA will have an initial GP visit to confirm their diagnosis and receive management according to GP intervention or control group allocation. As part of the intervention group GP management, participants with knee OA will be referred to a centralised multidisciplinary service: the PARTNER Care Support Team (CST). The CST will be trained in behaviour change support and evidence-based knee OA management. They will work with patients to develop a collaborative action plan focussed on key self-management behaviours, and communicate with the
- Published
- 2018
41. The CRISP colorectal cancer risk prediction tool: an exploratory study using simulated consultations in Australian primary care
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Walker, JG, Bickerstaffe, A, Hewabandu, N, Maddumarachchi, S, Dowty, JG, CRECRC, Jenkins, M, Pirotta, M, Walter, Fiona, Emery, JD, Walter, Fiona [0000-0002-7191-6476], and Apollo - University of Cambridge Repository
- Subjects
Cancer screening ,General practitioners ,education ,Primary care ,Colorectal cancer ,Colorectal cancer risk prediction ,Bowel cancer screening ,Colorectal cancer risk assessment - Abstract
BACKGROUND: In Australia, screening for colorectal cancer (CRC) with colonoscopy is meant to be reserved for people at increased risk, however, currently there is a mismatch between individuals' risk of CRC and the type of CRC screening they receive. This paper describes the development and optimisation of a Colorectal cancer RISk Prediction tool ('CRISP') for use in primary care. The aim of the CRISP tool is to increase risk-appropriate CRC screening. METHODS: CRISP development was informed by previous experience with developing risk tools for use in primary care and a systematic review of the evidence. A CRISP prototype was used in simulated consultations by general practitioners (GPs) with actors as patients. GPs were interviewed to explore their experience of using CRISP, and practice nurses (PNs) and practice managers (PMs) were interviewed after a demonstration of CRISP. Transcribed interviews and video footage of the 'consultations' were qualitatively analyzed. Themes arising from the data were mapped onto Normalization Process Theory (NPT). RESULTS: Fourteen GPs, nine PNs and six PMs were recruited from 12 clinics. Results were described using the four constructs of NPT: 1) Coherence: Clinicians understood the rationale behind CRISP, particularly since they were familiar with using risk tools for other conditions; 2) Cognitive participation: GPs welcomed the opportunity CRISP provided to discuss healthy and unhealthy behaviors with their patients, but many GPs challenged the screening recommendation generated by CRISP; 3) Collective Action: CRISP disrupted clinician-patient flow if the GP was less comfortable with computers. GP consultation time was a major implementation barrier and overall consensus was that PNs have more capacity and time to use CRISP effectively; 4) Reflexive monitoring: Limited systematic monitoring of new interventions is a potential barrier to the sustainable embedding of CRISP. CONCLUSIONS: CRISP has the potential to improve risk-appropriate CRC screening in primary care but was considered more likely to be successfully implemented as a nurse-led intervention., This study was funded by a National Health and Medical Research Council (NHMRC) Centre for Research Excellence grant (APP1042021). M Pirotta is supported by an NHMRC Career Development Fellowship. JD Emery is supported by an NHMRC Practitioner Fellowship. FM Walter is supported by a NIHR Clinician Scientist award.
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- 2017
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- View/download PDF
42. Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems
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D Eramo, C., Nuara, A., Pirotta, M., and Marcello Restelli
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Artificial Intelligence ,General Medicine - Abstract
This paper is about the estimation of the maximum expected value of an infinite set of random variables.This estimation problem is relevant in many fields, like the Reinforcement Learning (RL) one.In RL it is well known that, in some stochastic environments, a bias in the estimation error can increase step-by-step the approximation error leading to large overestimates of the true action values. Recently, some approaches have been proposed to reduce such bias in order to get better action-value estimates, but are limited to finite problems.In this paper, we leverage on the recently proposed weighted estimator and on Gaussian process regression to derive a new method that is able to natively handle infinitely many random variables.We show how these techniques can be used to face both continuous state and continuous actions RL problems.To evaluate the effectiveness of the proposed approach we perform empirical comparisons with related approaches.
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- 2017
43. Resistance to Enneothrips flavens Moulton and genetic parameters estimation in interspecific genotypes of peanut
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PIROTTA, M. Z., SILVA, F. M. da, MICHELOTTO, M. D., FAVERO, A. P., GODOY, I. J. de, UNEDA-TREVISOLI, S. H., Melina Zacarelli Pirotta, UNESP, Fabiana Mota da Silva, UNESP, Marcos Doniseti Michelotto, Agência Paulista de Tecnologia dos Agronegócios, ALESSANDRA PEREIRA FAVERO, CPPSE, Ignácio José de Godoy, Instituto Agronômico de Campinas, and Sandra Helena Unêda-Trevisoli, UNESP.
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Resistance to insects ,Thrips ,Arachis hypogaea L - Abstract
Peanut is an oilseed crop of great importance for Brazilian agribusiness. A major factor affecting its production is pest incidence, mainly thrips. This study aimed to evaluate the potential for resistance to Enneothrips flavens in genotypes derived from the cross between IAC 503 and the amphidiploid (A. magna x A. cardenasii)4x and to estimate the genetic and phenotype parameters in these genotypes, allowing for better targeting in the selection. The experiments were conducted in a Federer augmented block design with additional checks in two generations (F3 and F4). Resistance to thrips was evaluated by its natural infestation and the symptoms of attacks by the insect. They were also evaluated using agronomic trait indicators of interspecific segregating with cultivated species. The results indicated that the selected progeny exhibited high resistance to thrips compared to commercial genotypes, and they had the amphidiploid as the insect resistance source. Some progenies selected as resistant also had good production traits, but with the degree of suitability to the A. hypogaea L. genotypes still low, the use of a backcross as an alternative for the introgression of resistance genes and the consequent recovery of adapted genotypes of superior recurring parents is suggested. Made available in DSpace on 2019-05-22T01:08:35Z (GMT). No. of bitstreams: 1 18078621asagr390300339.pdf: 656992 bytes, checksum: 4a305575133c1794064a55536b614f10 (MD5) Previous issue date: 2017
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- 2017
44. EP-1871: Development of a class solution for prostate VMAT planning using Pareto Front comparison
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Pirotta, M., primary
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- 2018
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45. Development of a service delivery intervention and implementation plan for optimising primary care management of knee osteoarthritis: the partner project
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Egerton, T., primary, Bennell, K.L., additional, Hinman, R., additional, Hunter, D.J., additional, Bowden, J., additional, Nicolson, P.J., additional, Atkins, L., additional, and Pirotta, M., additional
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- 2018
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46. Optimising primary care management of knee osteoarthritis (partner): protocol for a randomised controlled trial
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Hunter, D.J., primary, Hinman, R.S., additional, Bowden, J.L., additional, Egerton, T., additional, Briggs, A.M., additional, Bunker, S.J., additional, Forbes, A.B., additional, French, S.D., additional, Kasza, J., additional, Pirotta, M., additional, Schofield, D.J., additional, Zwar, N.A., additional, and Bennell, K.L., additional
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- 2018
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47. Probiotics, prematurity and neurodevelopment: Follow-up of a randomised trial
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Jacobs, SE, Hickey, L, Donath, S, Opie, GF, Anderson, PJ, Garland, SM, Cheong, JLY, Gold, L, Sia, KL, Tobin, JM, Tabrizi, SN, Pirotta, M, Tang, MLK, Morley, CJ, Tan, K, Lewis, A, Veldman, A, Carse, E, Travadi, J, Wright, IMR, Osborn, DA, Sinn, J, Bowen, J, Levison, J, Stack, JA, DePaoli, AG, Austin, NC, Darlow, BA, Alsweiler, JM, Buksh, MJ, Jacobs, SE, Hickey, L, Donath, S, Opie, GF, Anderson, PJ, Garland, SM, Cheong, JLY, Gold, L, Sia, KL, Tobin, JM, Tabrizi, SN, Pirotta, M, Tang, MLK, Morley, CJ, Tan, K, Lewis, A, Veldman, A, Carse, E, Travadi, J, Wright, IMR, Osborn, DA, Sinn, J, Bowen, J, Levison, J, Stack, JA, DePaoli, AG, Austin, NC, Darlow, BA, Alsweiler, JM, and Buksh, MJ
- Abstract
Objective: To determine the impact of one probiotics combination on the neurodevelopment of very preterm children at 2–5 years corrected gestational age (CA). Design: Follow-up study of survivors of a double-blinded, placebo-controlled, randomised trial of probiotic effects on late-onset sepsis in very preterm infants that found reduced necrotising enterocolitis. Setting: 10 tertiary perinatal centres in Australia and New Zealand. Patients: 1099 very preterm infants born <32 weeks’ gestation and weighing <1500 g. Intervention: Probiotics (Bifidobacterium infantis, Streptococcus thermophilus and Bifidobacterium lactis) or placebo administered from birth until discharge home or term CA, whichever came sooner. Main outcome measures: Major neurodevelopmental impairment comprised any of moderate/severe cerebral palsy (Gross Motor Function Classification System score 2–5), motor impairment (Bayley-III Motor Composite Scale <–2SD or Movement Assessment Battery for Children <15th centile if ≫42 months’ CA), cognitive impairment (Bayley-III Composite Cognitive or Language Scales <–2SD or Wechsler Preschool and Primary Scale of Intelligence Full Scale Intelligence Quotient <–2SD if ≫42 months’ CA), blindness or deafness. Results: Outcome data were available for 735 (67%) participants, with 71 deaths and 664/1028 survivors assessed at a mean age of 30 months. Survival free of major neurodevelopmental impairment was comparable between groups (probiotics 281 (75.3%) vs placebo 271 (74.9%); relative risk 1.01 (95% CI 0.93 to 1.09)). Rates of deafness were lower in probiotic-treated children (0.6% vs 3.4%). Conclusion: Administration of the probiotics combination Bifidobacterium infantis, Streptococcus thermophilus and Bifidobacterium lactis to very preterm babies from soon after birth until discharge home or term CA did not adversely affect neurodevelopment or behaviour in early childhood.
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- 2017
48. Health practitioner perceptions of using a health virtual community of practice for their continuing professional development
- Author
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Murad, A, Bosua, R, Pirotta, M, Lederman, R, Chang, S, Wark, JD, Murad, A, Bosua, R, Pirotta, M, Lederman, R, Chang, S, and Wark, JD
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- 2017
49. ProCare Trial: a phase II randomized controlled trial of shared care for follow-up of men with prostate cancer
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Emery, JD, Jefford, M, King, M, Hayne, D, Martin, A, Doorey, J, Hyatt, A, Habgood, E, Lim, T, Hawks, C, Pirotta, M, Trevena, L, Schofield, P, Emery, JD, Jefford, M, King, M, Hayne, D, Martin, A, Doorey, J, Hyatt, A, Habgood, E, Lim, T, Hawks, C, Pirotta, M, Trevena, L, and Schofield, P
- Abstract
OBJECTIVES: To test the feasibility and efficacy of a multifaceted model of shared care for men after completion of treatment for prostate cancer. PATIENTS AND METHODS: Men who had completed treatment for low- to moderate-risk prostate cancer within the previous 8 weeks were eligible. Participants were randomized to usual care or shared care. Shared care entailed substituting two hospital visits with three visits in primary care, a survivorship care plan, recall and reminders, and screening for distress and unmet needs. Outcome measures included psychological distress, prostate cancer-specific quality of life, satisfaction and preferences for care and healthcare resource use. RESULTS: A total of 88 men were randomized (shared care n = 45; usual care n = 43). There were no clinically important or statistically significant differences between groups with regard to distress, prostate cancer-specific quality of life or satisfaction with care. At the end of the trial, men in the intervention group were significantly more likely to prefer a shared care model to hospital follow-up than those in the control group (intervention 63% vs control 24%; P<0.001). There was high compliance with prostate-specific antigen monitoring in both groups. The shared care model was cheaper than usual care (shared care AUS$1411; usual care AUS$1728; difference AUS$323 [plausible range AUS$91-554]). CONCLUSION: Well-structured shared care for men with low- to moderate-risk prostate cancer is feasible and appears to produce clinically similar outcomes to those of standard care, at a lower cost.
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- 2017
50. World Congress Integrative Medicine & Health 2017: part two Berlin, Germany. 3-5 May 2017 Abstracts
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Ee, C, Thuraisingam, S, Pirotta, M, French, S, Xue, C, Teede, H, Kristoffersen, AE, Sirois, F, Stub, T, Engler, J, Joos, S, Güthlin, C, Felenda, J, Beckmann, C, Stintzing, F, Evans, R, Bronfort, G, Keefe, D, Taberko, A, Hanson, L, Haley, A, Ma, H, Jolton, J, Yarosh, L, Keefe, F, Nam, J, Ojala, L, Kreitzer, MJ, Fink, C, Kraft, K, Flower, A, Lewith, G, Harman, K, Stuart, B, Bishop, FL, Frawley, J, Füleki, L, Kiss, E, Vancsik, T, Krenacs, T, Funabashi, M, Pohlman, KA, Mior, S, Thiel, H, Hill, MD, Cassidy, DJ, Westaway, M, Yager, J, Hurwitz, E, Kawchuk, GN, O’Beirne, M, Vohra, S, Gaboury, I, Morin, C, Gaertner, K, Torchetti, L, Frei-Erb, M, Kundi, M, Frass, M, Gallo, E, Maggini, V, Comite, M, Sofi, F, Baccetti, S, Vannacci, A, Di Stefano, M, Monechi, MV, Gori, L, Rossi, E, Firenzuoli, F, Mediati, RD, Ballerini, G, Gardiner, P, Lestoquoy, AS, Negash, L, Stillman, S, Shah, P, Liebschutz, J, Adelstein, P, Farrell-Riley, C, Brackup, I, Penti, B, Saper, R, Sampedro, IG, Carvajal, G, Gleiss, A, Gross, MM, Brendlin, D, Röttger, J, Stritter, W, Seifert, G, Grzanna, N, Stange, R, Guendling, PW, Gu, W, Lu, Y, Wang, J, Zhang, C, Bai, H, He, Y, Zhang, X, Zhang, Z, Wang, D, Meng, F, Hagel, A, Albrecht, H, Vollbracht, C, Dauth, W, Hagel, W, Vitali, F, Ganzleben, I, Schultis, H, Konturek, P, Stein, J, Neurath, M, Raithel, M, Krick, B, Haller, H, Klose, P, Dobos, G, Kümmel, S, Cramer, H, Saha, FJ, Kowoll, A, Ebner, B, Berger, B, Choi, K-E, He, L, Wang, H, He, X, Gu, C, Zhang, Y, Zhao, L, Tong, X, Ho, RST, Chung, VCH, Wu, X, Wong, CHL, Wu, JCY, Wong, SYS, Lau, AYL, Sit, RWS, Wong, W, Holmes, M, Bishop, F, Calman, L, Newell, D, Field, J, Htut, WL, Han, D, Choi, DI, Choi, SJ, Kim, HY, Hwang, JH, Huang, CW, Jang, BH, Chen, FP, Ko, SG, Huang, W, Jin, D, Lian, F, Jang, S, Kim, KH, Lee, EK, Sun, SH, Go, HY, Ko, Y, Park, S, Shin, YC, Janik, H, Greiffenhagen, N, Bolte, J, Jaworski, M, Adamus, M, Dobrzynska, A, Jeitler, M, Jaspers, J, von Scheidt, C, Koch, B, Michalsen, A, Steckhan, N, Kessler, C, Huang, W-J, Pang, B, Lian, F-M, Jong, M, Baars, E, Glockmann, A, Hamre, H, Kainuma, M, Murakami, A, Kubota, T, Kobayashi, D, Sumoto, Y, Furusyo, N, Ando, S-I, Shimazoe, T, Kelber, O, Verjee, S, Gorgus, E, Schrenk, D, Kemper, K, Hill, E, Rao, N, Gascon, G, Mahan, J, Kienle, G, Dietrich, J, Schmoor, C, Huber, R, Kim, WH, Ahmed, M, Meggyeshazi, N, Kovago, C, Klaus, AK, Zerm, R, Pranga, D, Ostermann, T, Reif, M, von Laue, HB, Brinkhaus, B, Kröz, M, Recchia, DR, Klein-Laansma, CT, von Hagens, C, Jansen, JP, van Wietmarschen, H, Jong, MC, Sun, S-H, Go, H-Y, Jeon, C-Y, Song, Y-K, Ko, S-G, Koch, AK, Rabsilber, S, Lauche, R, Langhorst, J, Trifunovic-Koenig, M, Koster, E, Delnoij, D, Kroll, L, Weiss, K, Kubo, A, Hendlish, S, Altschuler, A, Connolly, N, Avins, A, Wardle, J, Lee, D, Sibbritt, D, Adams, J, Park, C, Mishra, G, Lechner, J, Lee, I, Chae, Y, Lee, J, Cho, SH, Choi, Y, Lee, JY, Ryu, HS, Yoon, SS, Oh, HK, Hyun, LK, Kim, JO, Yoon, SW, Lee, J-Y, Shin, S-H, Jang, M, Müller, I, Park, S-HJ, Laird, L, Mitchell, S, Li, X, Wang, Y, Zhen, J, Yu, H, Liu, T, Gu, X, Liu, H, Ma, W, Shang, X, Bai, Y, Liu, W, Rooney, C, Smith, A, Lopes, S, Demarzo, M, do Patrocínio Nunes, M, Lorenz, P, Gründemann, C, Heinrich, M, Garcia-Käufer, M, Grunewald, F, Messerschmidt, S, Herrick, A, Gruber, K, Knödler, M, Steinborn, C, Lu, T, Wang, L, Wu, D, Luberto, CM, Hall, DL, Chad-Friedman, E, Lechner, S, Park, ER, Park, E, Goodman, J, Luer, S, Heri, M, von Ammon, K, Landini, I, Lapucci, A, Nobili, S, Mini, E, McDermott, C, Richards, S, Cox, D, Frossell, S, Leydon, G, Eyles, C, Raphael, H, Rogers, R, Selby, M, Adler, C, Allam, J, Bu, X, Zhang, H, Zhang, J, Mikolasek, M, Berg, J, Witt, C, Barth, J, Miskulin, I, Lalic, Z, Miskulin, M, Dumic, A, Sebo, D, Vcev, A, Mohammed, NAA, Im, HB, Mukherjee, A, Kandhare, A, Bodhankar, S, Thakurdesai, P, Munk, N, Evans, E, Froman, A, Kline, M, Bair, MJ, Musial, F, Alræk, T, Hamre, HJ, Björkman, L, Fønnebø, VM, Ni, Q, Tong, X-L, Li, X-L, Liu, W-K, Feng, S, Zhao, X-Y, Zheng, Y-J, Zhao, X-M, Lin, Y-Q, Zhao, T-Y, Phd, HC, Liu, F, Zhao, L-H, Ye, R, Gu, C-J, Peng, W, De Carvalho, D, El-Bayoumi, M, Haig, B, Kelly, K, Wade, DJ, Portalupi, E, Gobo, G, Bellavita, L, Guglielmetti, C, Raak, C, Teuber, M, Molsberger, F, von Rath, U, Reichelt, U, Schwanebeck, U, Zeil, S, Vogelberg, C, Veintimilla, DR, Mery, GT, Villavicencio, MM, Moran, SH, Sachse, C, Gündlin, PW, Sahebkarkhorasani, M, Azizi, H, Schumann, D, Sundberg, T, Leach, MJ, Seca, S, Greten, H, Selliah, S, Shakya, A, Sherbakova, A, Ulrich-Merzenich, G, Abdel-Aziz, H, Sibinga, E, Webb, L, Ellen, J, Skrautvol, K, Nåden, D, Song, R, Grabowska, W, Osypiuk, K, Diaz, GV, Bonato, P, Park, M, Hausdorff, J, Fox, M, Sudarsky, LR, Tarsy, D, Novakowski, J, Macklin, EA, Wayne, PM, Hwang, I, Ahn, S, Lee, M-A, Sohn, MK, Sorokin, O, Heydeck, D, Borchert, A, Hohmann, C-D, Kühn, H, Kirschbaum, C, Stalder, T, Stöckigt, B, Teut, M, Suhr, R, Sulmann, D, Streeter, C, Gerbarg, P, Silveri, M, Brown, R, Jensen, J, Rutert, B, Eggert, A, Längler, A, Holmberg, C, Sun, J, Deng, X, Li, W-Y, Wen, B, Robinson, N, Liu, J-P, Sung, HK, Yang, N, Shin, SM, Jung, H, Kim, YJ, Jung, WS, Park, TY, Suzuki, K, Ito, T, Uchida, S, Kamohara, S, Ono, N, Takamura, M, Yokochi, A, Maruyama, K, Tapia, P, Thabaut, K, Thronicke, A, Steele, M, Matthes, H, Herbstreit, C, Schad, F, Tian, J, Yang, L, Tian, T, Tian, X, Wang, C, Chai, QY, Zhang, L, Xia, R, Huang, N, Fei, Y, Liu, J, Trent, N, Miraglia, M, Dusek, J, Pasalis, E, Khalsa, SB, Trifunovic-König, M, Koch, A, Uebelacker, L, Tremont, G, Gillette, L, Epstein-Lubow, G, Strong, D, Abrantes, A, Tyrka, A, Tran, T, Gaudiano, B, Miller, I, Ullmann, G, Li, Y, Vaidya, S, Marathe, V, Vale, AC, Motta, J, Donadão, F, Valente, AC, Valente, LCC, Ghelman, R, Vesovic, D, Jevdic, D, Jevdic, A, Jevdic, K, Djacic, M, Letic, D, Bozic, D, Markovic, M, Dunjic, S, Ruscuklic, G, Baksa, D, Vrca, K, Vincent, A, Wahner-Roedler, D, Whipple, M, Vogelius, MM, Friesecke, I, Gündling, PW, Mahapatra, S, Hynes, R, Van Rooy, K, Looker, S, Ghosh, A, Bauer, B, Cutshall, S, Walach, H, Flores, AB, Ofner, M, Kastner, A, Schwarzl, G, Schwameder, H, Alexander, N, Strutzenberger, G, Wang, S, Shi, J, Hao, Y, Wu, J, Qiu, Z, Wang, Y-H, Lou, C-J, Watts, S, Wayne, P, Vergara-Diaz, G, Gow, B, Miranda, J, Sudarsky, L, Macklin, E, Wode, K, Bergqvist, J, Bernhardsson, B-M, Nordberg, JH, Sharp, L, Henriksson, R, Woo, Y, Hyun, MK, Wu, H, Wang, T-F, Zhao, Y, Wei, Y, Tian, L, Wang, X, Wu, R, Han, M, Caldwell, PHY, Liu, S, Chai, Q, Guo, Z, Liu, Z, Yang, IJ, Lincha, VR, Ahn, SH, Lee, DU, Shin, HM, Sung, H, Kim, Y, Yap, A, Kwan, YH, Tan, CS, Ibrahim, S, Ang, SB, Yayi, A, Yoo, JE, Yoo, HR, Jang, SB, Lee, HL, Youssef, A, Ezzat, S, Motaal, AA, El-Askary, H, Yu, X, Cui, Y, Yun, Y, Ahn, J-H, Jang, B-H, Kim, K-S, Choi, I, Glinz, A, ten Brink, F, Büssing, A, Gutenbrunner, C, Helbrecht, B, Fang, T, Shen, Z, Zhang, R, Wu, F, Li, M, Xuan, X, Shen, X, Ren, K, Berman, B, Zheng, Z, Wan, Y, Ma, X, Dong, F, Zick, S, Harris, R, Bae, GE, Kwon, JN, Lee, HY, Nam, JK, Lee, SD, Lee, DH, Han, JY, Yun, YJ, Lee, JH, Park, HL, Park, SH, Bocci, C, Ivaldi, GB, Vietti, I, Meaglia, I, Guffi, M, Ruggiero, R, Gualea, M, Longa, E, Bonucci, M, Croke, S, Rodriguez, LD, Caracuel-Martínez, JC, Fajardo-Rodríguez, MF, Ariza-García, A, la Fuente, FG-D, Arroyo-Morales, M, Estrems, MS, Gómez, VG, Sabater, MV, Ferreri, R, Bernardini, S, Pulcri, R, Cracolici, F, Rinaldi, M, Porciani, C, Fisher, P, Hughes, J, Mendoza, A, MacPherson, H, Filshie, J, Di Francesco, A, Bernardini, A, Messe, M, Primitivo, V, Iasella, PA, Taminato, M, Alcantara, JDC, De Oliveira, KR, Rodrigues, DCDA, Mumme, JRC, Sunakozawa, OKM, Filho, VO, Goldenberg, J, Day, A, Sasagawa, M, Ward, L, Cooley, K, Gunnarsdottir, T, Hjaltadottir, I, Hajimonfarednejad, M, Hannan, N, Hellsing, R, Andermo, S, Arman, M, von Hörsten, I, Torrielo, PV, Vilaró, CLA, Cabrera, FC, Hui, H, Ziea, E, Tsui, D, Hsieh, J, Lam, C, Chan, E, Jensen, MP, Battalio, SL, Chan, J, Edwards, KA, Gertz, KJ, Day, MA, Sherlin, LH, Ehde, DM, Börner, A, Lee, B, Chang, GT, Menassa, A, Motoo, Y, Müller, J, Rabini, S, Vinson, B, Storr, M, Niemeijer, M, Hoekman, J, Ruijssenaaars, W, Njoku, FC, Norheim, AJ, Okumus, F, Oncu-Celik, H, Ee, C, Thuraisingam, S, Pirotta, M, French, S, Xue, C, Teede, H, Kristoffersen, AE, Sirois, F, Stub, T, Engler, J, Joos, S, Güthlin, C, Felenda, J, Beckmann, C, Stintzing, F, Evans, R, Bronfort, G, Keefe, D, Taberko, A, Hanson, L, Haley, A, Ma, H, Jolton, J, Yarosh, L, Keefe, F, Nam, J, Ojala, L, Kreitzer, MJ, Fink, C, Kraft, K, Flower, A, Lewith, G, Harman, K, Stuart, B, Bishop, FL, Frawley, J, Füleki, L, Kiss, E, Vancsik, T, Krenacs, T, Funabashi, M, Pohlman, KA, Mior, S, Thiel, H, Hill, MD, Cassidy, DJ, Westaway, M, Yager, J, Hurwitz, E, Kawchuk, GN, O’Beirne, M, Vohra, S, Gaboury, I, Morin, C, Gaertner, K, Torchetti, L, Frei-Erb, M, Kundi, M, Frass, M, Gallo, E, Maggini, V, Comite, M, Sofi, F, Baccetti, S, Vannacci, A, Di Stefano, M, Monechi, MV, Gori, L, Rossi, E, Firenzuoli, F, Mediati, RD, Ballerini, G, Gardiner, P, Lestoquoy, AS, Negash, L, Stillman, S, Shah, P, Liebschutz, J, Adelstein, P, Farrell-Riley, C, Brackup, I, Penti, B, Saper, R, Sampedro, IG, Carvajal, G, Gleiss, A, Gross, MM, Brendlin, D, Röttger, J, Stritter, W, Seifert, G, Grzanna, N, Stange, R, Guendling, PW, Gu, W, Lu, Y, Wang, J, Zhang, C, Bai, H, He, Y, Zhang, X, Zhang, Z, Wang, D, Meng, F, Hagel, A, Albrecht, H, Vollbracht, C, Dauth, W, Hagel, W, Vitali, F, Ganzleben, I, Schultis, H, Konturek, P, Stein, J, Neurath, M, Raithel, M, Krick, B, Haller, H, Klose, P, Dobos, G, Kümmel, S, Cramer, H, Saha, FJ, Kowoll, A, Ebner, B, Berger, B, Choi, K-E, He, L, Wang, H, He, X, Gu, C, Zhang, Y, Zhao, L, Tong, X, Ho, RST, Chung, VCH, Wu, X, Wong, CHL, Wu, JCY, Wong, SYS, Lau, AYL, Sit, RWS, Wong, W, Holmes, M, Bishop, F, Calman, L, Newell, D, Field, J, Htut, WL, Han, D, Choi, DI, Choi, SJ, Kim, HY, Hwang, JH, Huang, CW, Jang, BH, Chen, FP, Ko, SG, Huang, W, Jin, D, Lian, F, Jang, S, Kim, KH, Lee, EK, Sun, SH, Go, HY, Ko, Y, Park, S, Shin, YC, Janik, H, Greiffenhagen, N, Bolte, J, Jaworski, M, Adamus, M, Dobrzynska, A, Jeitler, M, Jaspers, J, von Scheidt, C, Koch, B, Michalsen, A, Steckhan, N, Kessler, C, Huang, W-J, Pang, B, Lian, F-M, Jong, M, Baars, E, Glockmann, A, Hamre, H, Kainuma, M, Murakami, A, Kubota, T, Kobayashi, D, Sumoto, Y, Furusyo, N, Ando, S-I, Shimazoe, T, Kelber, O, Verjee, S, Gorgus, E, Schrenk, D, Kemper, K, Hill, E, Rao, N, Gascon, G, Mahan, J, Kienle, G, Dietrich, J, Schmoor, C, Huber, R, Kim, WH, Ahmed, M, Meggyeshazi, N, Kovago, C, Klaus, AK, Zerm, R, Pranga, D, Ostermann, T, Reif, M, von Laue, HB, Brinkhaus, B, Kröz, M, Recchia, DR, Klein-Laansma, CT, von Hagens, C, Jansen, JP, van Wietmarschen, H, Jong, MC, Sun, S-H, Go, H-Y, Jeon, C-Y, Song, Y-K, Ko, S-G, Koch, AK, Rabsilber, S, Lauche, R, Langhorst, J, Trifunovic-Koenig, M, Koster, E, Delnoij, D, Kroll, L, Weiss, K, Kubo, A, Hendlish, S, Altschuler, A, Connolly, N, Avins, A, Wardle, J, Lee, D, Sibbritt, D, Adams, J, Park, C, Mishra, G, Lechner, J, Lee, I, Chae, Y, Lee, J, Cho, SH, Choi, Y, Lee, JY, Ryu, HS, Yoon, SS, Oh, HK, Hyun, LK, Kim, JO, Yoon, SW, Lee, J-Y, Shin, S-H, Jang, M, Müller, I, Park, S-HJ, Laird, L, Mitchell, S, Li, X, Wang, Y, Zhen, J, Yu, H, Liu, T, Gu, X, Liu, H, Ma, W, Shang, X, Bai, Y, Liu, W, Rooney, C, Smith, A, Lopes, S, Demarzo, M, do Patrocínio Nunes, M, Lorenz, P, Gründemann, C, Heinrich, M, Garcia-Käufer, M, Grunewald, F, Messerschmidt, S, Herrick, A, Gruber, K, Knödler, M, Steinborn, C, Lu, T, Wang, L, Wu, D, Luberto, CM, Hall, DL, Chad-Friedman, E, Lechner, S, Park, ER, Park, E, Goodman, J, Luer, S, Heri, M, von Ammon, K, Landini, I, Lapucci, A, Nobili, S, Mini, E, McDermott, C, Richards, S, Cox, D, Frossell, S, Leydon, G, Eyles, C, Raphael, H, Rogers, R, Selby, M, Adler, C, Allam, J, Bu, X, Zhang, H, Zhang, J, Mikolasek, M, Berg, J, Witt, C, Barth, J, Miskulin, I, Lalic, Z, Miskulin, M, Dumic, A, Sebo, D, Vcev, A, Mohammed, NAA, Im, HB, Mukherjee, A, Kandhare, A, Bodhankar, S, Thakurdesai, P, Munk, N, Evans, E, Froman, A, Kline, M, Bair, MJ, Musial, F, Alræk, T, Hamre, HJ, Björkman, L, Fønnebø, VM, Ni, Q, Tong, X-L, Li, X-L, Liu, W-K, Feng, S, Zhao, X-Y, Zheng, Y-J, Zhao, X-M, Lin, Y-Q, Zhao, T-Y, Phd, HC, Liu, F, Zhao, L-H, Ye, R, Gu, C-J, Peng, W, De Carvalho, D, El-Bayoumi, M, Haig, B, Kelly, K, Wade, DJ, Portalupi, E, Gobo, G, Bellavita, L, Guglielmetti, C, Raak, C, Teuber, M, Molsberger, F, von Rath, U, Reichelt, U, Schwanebeck, U, Zeil, S, Vogelberg, C, Veintimilla, DR, Mery, GT, Villavicencio, MM, Moran, SH, Sachse, C, Gündlin, PW, Sahebkarkhorasani, M, Azizi, H, Schumann, D, Sundberg, T, Leach, MJ, Seca, S, Greten, H, Selliah, S, Shakya, A, Sherbakova, A, Ulrich-Merzenich, G, Abdel-Aziz, H, Sibinga, E, Webb, L, Ellen, J, Skrautvol, K, Nåden, D, Song, R, Grabowska, W, Osypiuk, K, Diaz, GV, Bonato, P, Park, M, Hausdorff, J, Fox, M, Sudarsky, LR, Tarsy, D, Novakowski, J, Macklin, EA, Wayne, PM, Hwang, I, Ahn, S, Lee, M-A, Sohn, MK, Sorokin, O, Heydeck, D, Borchert, A, Hohmann, C-D, Kühn, H, Kirschbaum, C, Stalder, T, Stöckigt, B, Teut, M, Suhr, R, Sulmann, D, Streeter, C, Gerbarg, P, Silveri, M, Brown, R, Jensen, J, Rutert, B, Eggert, A, Längler, A, Holmberg, C, Sun, J, Deng, X, Li, W-Y, Wen, B, Robinson, N, Liu, J-P, Sung, HK, Yang, N, Shin, SM, Jung, H, Kim, YJ, Jung, WS, Park, TY, Suzuki, K, Ito, T, Uchida, S, Kamohara, S, Ono, N, Takamura, M, Yokochi, A, Maruyama, K, Tapia, P, Thabaut, K, Thronicke, A, Steele, M, Matthes, H, Herbstreit, C, Schad, F, Tian, J, Yang, L, Tian, T, Tian, X, Wang, C, Chai, QY, Zhang, L, Xia, R, Huang, N, Fei, Y, Liu, J, Trent, N, Miraglia, M, Dusek, J, Pasalis, E, Khalsa, SB, Trifunovic-König, M, Koch, A, Uebelacker, L, Tremont, G, Gillette, L, Epstein-Lubow, G, Strong, D, Abrantes, A, Tyrka, A, Tran, T, Gaudiano, B, Miller, I, Ullmann, G, Li, Y, Vaidya, S, Marathe, V, Vale, AC, Motta, J, Donadão, F, Valente, AC, Valente, LCC, Ghelman, R, Vesovic, D, Jevdic, D, 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- 2017
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