1,882 results on '"Stepniewska A."'
Search Results
2. Non-malarial febrile illness: a systematic review of published aetiological studies and case reports from China, 1980–2015
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Ip, Dennis K. M., Ng, Yvonne Y., Tam, Yat H., Thomas, Nigel V., Dahal, Prabin, Stepniewska, Kasia, Newton, Paul N., Guérin, Philippe J., and Hopkins, Heidi
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- 2024
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3. Non-malarial febrile illness: a systematic review of published aetiological studies and case reports from China, 1980–2015
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Dennis K. M. Ip, Yvonne Y. Ng, Yat H. Tam, Nigel V. Thomas, Prabin Dahal, Kasia Stepniewska, Paul N. Newton, Philippe J. Guérin, and Heidi Hopkins
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Malaria ,Non-malarial febrile illness ,Aetiology ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Rapid point-of-care tests for malaria are now widely used in many countries to guide the initial clinical management of patients presenting with febrile illness. With China having recently achieved malaria elimination, better understanding regarding the identity and distribution of major non-malarial causes of febrile illnesses is of particular importance to inform evidence-based empirical treatment policy. Methods A systematic review of published literature was undertaken to characterise the spectrum of pathogens causing non-malaria febrile illness in China (1980–2015). Literature searches were conducted in English and Chinese languages in six databases: Ovid MEDLINE, Global Health, EMBASE, Web of Science™ – Chinese Science Citation Database SM, The China National Knowledge Infrastructure (CNKI), and WanFang Med Online. Selection criteria included reporting on an infection or infections with a confirmed diagnosis, defined as pathogens detected in or cultured from samples from normally sterile sites, or serological evidence of current or past infection. The number of published articles, reporting a given pathogen were presented, rather than incidence or prevalence of infection. Results A total of 57,181 records from 13 provinces of China where malaria used to be endemic were screened, of which 392 met selection criteria and were included in this review. The review includes 60 (15.3%) records published from 1980 to 2000, 211 (53.8%) from 2001 to 2010 and 121 (30.9%) from 2011 to 2015;. Of the 392 records, 166 (42.3%) were from the eastern region of China, 120 (30.6%) were from the south-west, 102 (26.0%) from south-central, and four (1.0%) were multi-regional studies. Bacterial infections were reported in 154 (39.3%) records, viral infections in 219 (55.9%), parasitic infections in four (1.0%), fungal infections in one (0.3%), and 14 (3.6%) publications reported more than one pathogen group. Participants of all ages were included in 136 (34.7%) studies, only adults in 75 (19.1%), only children in 17 (4.3%), only neonates in two (0.5%) and the age distribution was not specified in 162 (41.3%) records. The most commonly reported bacterial pathogens included Typhoidal Salmonella (n = 30), Orientia/ Rickettsia tsutsugamushi (n = 31), Coxiella burnetii (n = 17), Leptospira spp. (n = 15) and Brucella spp. (n = 15). The most commonly reported viral pathogens included Hantavirus/Hantaan virus (n = 89), dengue virus (DENV) (n = 76 including those with unknown serovars), Japanese encephalitis virus (n = 21), and measles virus (n = 15). The relative lack of data in the western region of the country, as well as in in neonates and children, represented major gaps in the understanding of the aetiology of fever in China. Conclusions This review presents a landscape of non-malaria pathogens causing febrile illness in China over 36 years as the country progressed toward malaria elimination. These findings can inform guidelines for clinical management of fever cases and infection surveillance and prevention, and highlight the need to standardize operational and reporting protocols for better understanding of fever aetiology in the country.
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- 2024
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4. High-Bandwidth IJTAG over SSN.
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Jonathan Gaudet, Jan Burchard, Matthias Kampmann, Jean-François Côté, Tim Callahan, Hung Ho Chai, Ivy Ee Hsia Lim, Lori Schramm, Olga Przybysz, Marta Stepniewska, Sascha Ochsenknecht, Michal Olejarz, and Martin Keim
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- 2024
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5. Pregnancy outcomes after first-trimester treatment with artemisinin derivatives versus non-artemisinin antimalarials: a systematic review and individual patient data meta-analysis.
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Saito, Makoto, McGready, Rose, Tinto, Halidou, Rouamba, Toussaint, Mosha, Dominic, Rulisa, Stephen, Kariuki, Simon, Desai, Meghna, Manyando, Christine, Njunju, Eric, Sevene, Esperanca, Vala, Anifa, Augusto, Orvalho, Clerk, Christine, Were, Edwin, Mrema, Sigilbert, Kisinza, William, Byamugisha, Josaphat, Kagawa, Mike, Singlovic, Jan, Yore, Mackensie, van Eijk, Anna, Mehta, Ushma, Stergachis, Andy, Hill, Jenny, Stepniewska, Kasia, Gomes, Melba, Guérin, Philippe, Nosten, Francois, Ter Kuile, Feiko, and Dellicour, Stephanie
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Female ,Pregnancy ,Humans ,Antimalarials ,Pregnancy Outcome ,Quinine ,Pregnancy Trimester ,First ,Abortion ,Spontaneous ,Stillbirth ,Prospective Studies ,Artemether ,Artemether ,Lumefantrine Drug Combination ,Malaria ,Falciparum ,Malaria ,Drug Combinations ,Ethanolamines - Abstract
BACKGROUND: Malaria in the first trimester of pregnancy is associated with adverse pregnancy outcomes. Artemisinin-based combination therapies (ACTs) are a highly effective, first-line treatment for uncomplicated Plasmodium falciparum malaria, except in the first trimester of pregnancy, when quinine with clindamycin is recommended due to concerns about the potential embryotoxicity of artemisinins. We compared adverse pregnancy outcomes after artemisinin-based treatment (ABT) versus non-ABTs in the first trimester of pregnancy. METHODS: For this systematic review and individual patient data (IPD) meta-analysis, we searched MEDLINE, Embase, and the Malaria in Pregnancy Library for prospective cohort studies published between Nov 1, 2015, and Dec 21, 2021, containing data on outcomes of pregnancies exposed to ABT and non-ABT in the first trimester. The results of this search were added to those of a previous systematic review that included publications published up until November, 2015. We included pregnancies enrolled before the pregnancy outcome was known. We excluded pregnancies with missing estimated gestational age or exposure information, multiple gestation pregnancies, and if the fetus was confirmed to be unviable before antimalarial treatment. The primary endpoint was adverse pregnancy outcome, defined as a composite of either miscarriage, stillbirth, or major congenital anomalies. A one-stage IPD meta-analysis was done by use of shared-frailty Cox models. This study is registered with PROSPERO, number CRD42015032371. FINDINGS: We identified seven eligible studies that included 12 cohorts. All 12 cohorts contributed IPD, including 34 178 pregnancies, 737 with confirmed first-trimester exposure to ABTs and 1076 with confirmed first-trimester exposure to non-ABTs. Adverse pregnancy outcomes occurred in 42 (5·7%) of 736 ABT-exposed pregnancies compared with 96 (8·9%) of 1074 non-ABT-exposed pregnancies in the first trimester (adjusted hazard ratio [aHR] 0·71, 95% CI 0·49-1·03). Similar results were seen for the individual components of miscarriage (aHR=0·74, 0·47-1·17), stillbirth (aHR=0·71, 0·32-1·57), and major congenital anomalies (aHR=0·60, 0·13-2·87). The risk of adverse pregnancy outcomes was lower with artemether-lumefantrine than with oral quinine in the first trimester of pregnancy (25 [4·8%] of 524 vs 84 [9·2%] of 915; aHR 0·58, 0·36-0·92). INTERPRETATION: We found no evidence of embryotoxicity or teratogenicity based on the risk of miscarriage, stillbirth, or major congenital anomalies associated with ABT during the first trimester of pregnancy. Given that treatment with artemether-lumefantrine was associated with fewer adverse pregnancy outcomes than quinine, and because of the known superior tolerability and antimalarial effectiveness of ACTs, artemether-lumefantrine should be considered the preferred treatment for uncomplicated P falciparum malaria in the first trimester. If artemether-lumefantrine is unavailable, other ACTs (except artesunate-sulfadoxine-pyrimethamine) should be preferred to quinine. Continued active pharmacovigilance is warranted. FUNDING: Medicines for Malaria Venture, WHO, and the Worldwide Antimalarial Resistance Network funded by the Bill & Melinda Gates Foundation.
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- 2023
6. COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys
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Aguas, Ricardo, Amswych, Ma'ayan, Andersen-Waine, Billie, Bajaj, Sumali, Bimpong, Kweku, Bodley, Adam, Cantrell, Liberty, Chen, Siyu, Creswell, Richard, Dahal, Prabin, Dickinson, Sophie, Dittrich, Sabine, Evans, Tracy, Ferguson-Lewis, Angus, Franco, Caroline, Gao, Bo, Hounsell, Rachel, Kasim, Muhammad, Keene, Claire, Lambert, Ben, Mahmood, Umar, Mills, Melinda, Moldokmatova, Ainura, Molyneux, Sassy, Naidoo, Reshania, Ngwafor Anye, Randolph, Norman, Jared, Pan-Ngum, Wirichada, Pokharel, Sunil, Polner, Anastasiia, Rowe, Emily, Saralamba, Sompob, Shretta, Rima, Silal, Sheetal, Stepniewska, Kasia, L-H Tsui, Joseph, Voysey, Merryn, Wanat, Marta, White, Lisa J, Tsui, Joseph L-H, Kolade, Olumide, Nicholson, George, Lehmann, Brieuc, Hay, James A, Kraemer, Moritz U G, Donnelly, Christl A, Fowler, Tom, and Hopkins, Susan
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- 2024
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7. Primaquine for uncomplicated Plasmodium vivax malaria in children younger than 15 years: a systematic review and individual patient data meta-analysis
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Adhikari, Bipin, Alam, Mohammad Shafiul, Anstey, Nicholas M, Assefa, Ashenafi, Baird, J Kevin, Boyd, Sarah C, Chau, Nguyen H, Day, Nicholas PJ, Degaga, Tamiru Shibiru, Dondorp, Arjen M, Erhart, Annette, Ferreira, Marcelo U, Ghimire, Prakash, Khan, Wasif A, Ley, Benedikt, Mekuria, Asrat H, Mueller, Ivo, Naadim, Mohammad N, Nosten, Francois, Price, David J, Pukrittayakamee, Sasithon, Rowland, Mark, Sattabongkot, Jetsumon, SuarezKurtz, Guilherme, Sutanto, Inge, von Seidlein, Lorenz, William, Timothy, Woodrow, Charles J, Woyessa, Adugna, Commons, Robert J, Rajasekhar, Megha, Allen, Elizabeth N, Yilma, Daniel, Chotsiri, Palang, Abreha, Tesfay, Adam, Ishag, Awab, Ghulam Rahim, Barber, Bridget E, Brasil, Larissa W, Chu, Cindy S, Cui, Liwang, Edler, Peta, Gomes, Margarete do Socorro M, Gonzalez‑Ceron, Lilia, Grigg, Matthew J, Hamid, Muzamil Mahdi Abdel, Hwang, Jimee, Karunajeewa, Harin, Lacerda, Marcus V G, Ladeia-Andrade, Simone, Leslie, Toby, Longley, Rhea J, Monteiro, Wuelton Marcelo, Pasaribu, Ayodhia Pitaloka, Poespoprodjo, Jeanne Rini, Richmond, Caitlin L, Rijal, Komal Raj, Taylor, Walter R J, Thanh, Pham Vinh, Thriemer, Kamala, Vieira, José Luiz F, White, Nicholas J, Zuluaga-Idarraga, Lina M, Workman, Lesley J, Tarning, Joel, Stepniewska, Kasia, Guerin, Philippe J, Simpson, Julie A, Barnes, Karen I, and Price, Ric N
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- 2024
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8. An evaluation of the national testing response during the COVID-19 pandemic in England: a multistage mixed-methods study protocol
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Ben Lambert, Sassy Molyneux, Claire Marriott Keene, Tom Fowler, Prabin Dahal, Kasia Stepniewska, Marta Wanat, Lisa White, Rima Shretta, Rachel Hounsell, Reshania Naidoo, Merryn Voysey, Billie Andersen-Waine, Emily Rowe, Sarah Pinto-Duschinsky, Gulsen Yenidogan, and EY-Oxford Health Analytics Consortium
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Medicine - Abstract
Introduction In 2020, the UK government established a large-scale testing programme to rapidly identify individuals in England who were infected with SARS-CoV-2 and had COVID-19. This comprised part of the UK government’s COVID-19 response strategy, to protect those at risk of severe COVID-19 disease and death and to reduce the burden on the health system. To assess the success of this approach, the UK Health Security Agency (UKHSA) commissioned an independent evaluation of the activities delivered by the National Health System testing programme in England. The primary purpose of this evaluation will be to capture key learnings from the roll-out of testing to different target populations via various testing services between October 2020 and March 2022 and to use these insights to formulate recommendations for future pandemic preparedness strategy. In this protocol, we detail the rationale, approach and study design.Methods and analysis The proposed study involves a stepwise mixed-methods approach, aligned with established methods for the evaluation of complex interventions in health, to retrospectively assess the combined impact of key asymptomatic and symptomatic testing services nationally. The research team will first develop a theory of change, formulated in collaboration with testing service stakeholders, to understand the causal pathways and intended and unintended outcomes of each testing service and explore contextual impacts on each testing service’s intended outcomes. Insights gained will help identify indicators to evaluate how the combined aims of the testing programme were achieved, using a mixed-methods approach.Ethics and dissemination The study protocol was granted ethics approval by the UKHSA Research Ethics and Governance Group (reference NR0347). All relevant ethics guidelines will be followed throughout. Findings arising from this evaluation will be used to inform lessons learnt and recommendations for UKHSA on appropriate pandemic preparedness testing programme designs; findings will also be disseminated in peer-reviewed journals, a publicly available report to be published online and at academic conferences. The final report of findings from the evaluation will be used as part of a portfolio of evidence produced for the independent COVID-19 government inquiry in the UK.Transparency declaration The lead author (the manuscript’s guarantor) affirms that the manuscript is an honest, accurate and transparent account of the study being reported; no important aspects of the study have been omitted, and any discrepancies from the study as planned have been explained.
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- 2024
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9. Conservative surgical treatment for adenomyosis: New options for looking beyond uterus removal
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Capezzuoli, Tommaso, Toscano, Federico, Ceccaroni, Marcello, Roviglione, Giovanni, Stepniewska, Anna, Fambrini, Massimiliano, Vannuccini, Silvia, and Petraglia, Felice
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- 2024
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10. Ultrasonographic characterization of parametrial endometriosis: a prospective study
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Barra, Fabio, Zorzi, Carlotta, Albanese, Mara, De Mitri, Paola, Stepniewska, Anna, Roviglione, Giovanni, Giani, Milo, Albertini, Giorgia, Ferrero, Simone, and Ceccaroni, Marcello
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- 2024
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11. Does acute malnutrition in young children increase the risk of treatment failure following artemisinin-based combination therapy? A WWARN individual patient data meta-analysis
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Stepniewska, Kasia, Allan, Richard, Anvikar, Anupkumar R, Anyorigiya, Thomas A, Ashley, Elizabeth A, Bassat, Quique, Baudin, Elisabeth, Bjorkman, Anders, Bonnet, Maryline, Boulton, Caroline, Bousema, Teun, Carn, Gwenaelle, Carrara, Verena I, D'Alessandro, Umberto, Davis, Timothy ME, Denoeud-Ndam, Lise, Desai, Meghna, Djimde, Abdoulaye A, Dorsey, Grant, Etard, Jean-François, Falade, Catherine, Fanello, Caterina, Gaye, Oumar, Gonzalez, Raquel, Grandesso, Francesco, Grivoyannis, Anastasia D, Grais, Rebecca F, Humphreys, Georgina S, Ishengoma, Deus S, Karema, Corine, Kayentao, Kassoum, Kennon, Kalynn, Kremsner, PeterG, Laman, Moses, Laminou, Ibrahim M, Macete, Eusebio, Martensson, Andreas, Mayxay, Mayfong, Menan, Hervé IB, Menéndez, Clara, Moore, Brioni R, Nabasumba, Carolyn, Ndiaye, Jean-Louis, Nhama, Abel, Nosten, Francois, Onyamboko, Marie, Phyo, Aung Pyae, Ramharter, Michael, Rosenthal, Philip J, Schramm, Birgit, Sharma, Yagya D, Sirima, Sodiomon B, Strub-Wourgaft, Nathalie, Sylla, Khadime, Talisuna, Ambrose O, Temu, Emmanuel A, Thwing, Julie I, Tinto, Halidou, Valentini, Giovanni, White, Nicholas J, Yeka, Adoke, Isanaka, Sheila, Barnes, Karen I, and Guerin, Philippe J
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- 2024
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12. Estimating the proportion of relapse following treatment of Visceral Leishmaniasis: meta-analysis using Infectious Diseases Data Observatory (IDDO) systematic review
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Chhajed, Rutuja, Dahal, Prabin, Singh-Phulgenda, Sauman, Brack, Matthew, Naylor, Caitlin, Sundar, Shyam, Alves, Fabiana, Stepniewska, Kasia, and Guerin, Philippe J.
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- 2024
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13. Primaquine dose and the risk of haemolysis in patients with uncomplicated Plasmodium vivax malaria: a systematic review and individual patient data meta-analysis
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Adhikari, Bipin, Alam, Mohammad Shafiul, Anstey, Nicholas M, Assefa, Ashenafi, Boyd, Sarah C, Chau, Nguyen Hoang, Day, Nicholas PJ, Degaga, Tamiru Shibiru, Dondorp, Arjen M, Ferreira, Marcelo Urbano, Ghimire, Prakash, Green, Justin A, Khan, Wasif Ali, Koh, Gavin CKW, Mekuria, Asrat Hailu, Naadim, Mohammad Nader, Nelwan, Erni J, Nosten, Francois, Pasaribu, Ayodhia Pitaloka, Price, David J, Stepniewska, Kasia, von Seidlein, Lorenz, William, Timothy, Woodrow, Charles J, Woyessa, Adugna, Rajasekhar, Megha, Simpson, Julie A, Ley, Benedikt, Edler, Peta, Chu, Cindy S, Abreha, Tesfay, Awab, Ghulam R, Baird, J Kevin, Bancone, Germana, Barber, Bridget E, Grigg, Matthew J, Hwang, Jimee, Karunajeewa, Harin, Lacerda, Marcus V G, Ladeia-Andrade, Simone, Llanos-Cuentas, Alejandro, Pukrittayakamee, Sasithon, Rijal, Komal R, Saravu, Kavitha, Sutanto, Inge, Taylor, Walter R J, Thriemer, Kamala, Watson, James A, Guerin, Philippe J, White, Nicholas J, Price, Ric N, and Commons, Robert J
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- 2024
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14. Effect of primaquine dose on the risk of recurrence in patients with uncomplicated Plasmodium vivax: a systematic review and individual patient data meta-analysis
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Adhikari, Bipin, Anstey, Nicholas M, Assefa, Ashenafi, Boyd, Sarah C, Chau, Nguyen Hoang, Day, Nicholas PJ, Degaga, Tamiru Shibiru, Dondorp, Arjen M, Erhart, Annette, Ferreira, Marcelo Urbano, Ghimire, Prakash, Green, Justin A, Koh, Gavin CKW, Mekuria, Asrat Hailu, Mueller, Ivo, Naadim, Mohammad Nader, Nelwan, Erni J, Nosten, Francois, Price, David J, Sattabongkot, Jetsumon, Stepniewska, Kasia, von Seidlein, Lorenz, William, Timothy, Woodrow, Charles J, Woyessa, Adugna, Commons, Robert J, Rajasekhar, Megha, Edler, Peta, Abreha, Tesfay, Awab, Ghulam R, Baird, J Kevin, Barber, Bridget E, Chu, Cindy S, Cui, Liwang, Daher, André, Gonzalez-Ceron, Lilia, Grigg, Matthew J, Hwang, Jimee, Karunajeewa, Harin, Lacerda, Marcus V G, Ladeia-Andrade, Simone, Lidia, Kartini, Llanos-Cuentas, Alejandro, Longley, Rhea J, Pereira, Dhelio B, Pasaribu, Ayodhia P, Pukrittayakamee, Sasithon, Rijal, Komal R, Sutanto, Inge, Taylor, Walter R J, Thanh, Pham V, Thriemer, Kamala, Vieira, José Luiz F, Watson, James A, Zuluaga-Idarraga, Lina M, White, Nicholas J, Guerin, Philippe J, Simpson, Julie A, and Price, Ric N
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- 2024
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15. Post-kala-azar dermal leishmaniasis (PKDL) drug efficacy study landscape: A systematic scoping review of clinical trials and observational studies to assess the feasibility of establishing an individual participant-level data (IPD) platform.
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Sauman Singh-Phulgenda, Rishikesh Kumar, Prabin Dahal, Abdalla Munir, Sumayyah Rashan, Rutuja Chhajed, Caitlin Naylor, Brittany J Maguire, Niyamat Ali Siddiqui, Eli Harriss, Manju Rahi, Fabiana Alves, Shyam Sundar, Kasia Stepniewska, Ahmed Musa, Philippe J Guerin, and Krishna Pandey
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Arctic medicine. Tropical medicine ,RC955-962 ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundPost-kala-azar dermal leishmaniasis (PKDL) is a dermatosis which can occur after successful treatment of visceral leishmaniasis (VL) and is a public health problem in VL endemic areas. We conducted a systematic scoping review to assess the characteristics of published PKDL clinical studies, understand the scope of research and explore the feasibility and value of developing a PKDL individual patient data (IPD) platform.MethodsA systematic review of published literature was conducted to identify PKDL clinical studies by searching the following databases: PubMed, Scopus, Ovid Embase, Web of Science Core Collection, WHO Global Index Medicus, PASCAL, Clinicaltrials.gov, Ovid Global Health, Cochrane Database and CENTRAL, and the WHO International Clinical Trials Registry Platform. Only prospective studies in humans with PKDL diagnosis, treatment, and follow-up measurements between January 1973 and March 2023 were included. Extracted data includes variables on patient characteristics, treatment regimens, diagnostic methods, geographical locations, efficacy endpoints, adverse events and statistical methodology.ResultsA total of 3,418 records were screened, of which 56 unique studies (n = 2,486 patients) were included in this review. Out of the 56 studies, 36 (64.3%) were from India (1983-2022), 12 (21.4%) from Sudan (1992-2021), 6 (10.7%) were from Bangladesh (1991-2019), and 2 (3.6%) from Nepal (2001-2007). Five (8.9%) studies were published between 1981-1990 (n = 193 patients), 10 (17.9%) between 1991-2000 (n = 230 patients), 10 (17.9%) between 2001-2010 (n = 198 patients), and 31 (55.4%) from 2011 onwards (n = 1,865 patients). Eight (14.3%) were randomised clinical trials, and 48 (85.7%) were non-randomised studies. The median post-treatment follow-up duration was 365 days (range: 90-540 days) in 8 RCTs and 360 days (range: 28-2,373 days) in 48 non-randomised studies. Disease diagnosis was based on clinical criterion in 3 (5.4%) studies, a mixture of clinical and parasitological methods in 47 (83.9%) and was unclear in 6 (10.7%) studies. Major drugs used for treatment were miltefosine (n = 636 patients), liposomal amphotericin B (L-AmB) (n = 508 patients), and antinomy regimens (n = 454 patients). Ten other drug regimens were tested in 270 patients with less than 60 patients per regimen.ConclusionsOur review identified studies with very limited sample size for the three major drugs (miltefosine, L-AmB, and pentavalent antimony), while the number of patients combined across studies suggest that the IPD platform would be valuable. With the support of relevant stakeholders, the global PKDL community and sufficient financing, a PKDL IPD platform can be realised. This will allow for exploration of different aspects of treatment safety and efficacy, which can potentially guide future healthcare decisions and clinical practices.
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- 2024
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16. Decision to self-isolate during the COVID-19 pandemic in the UK: a rapid scoping review
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Ben Lambert, Sassy Molyneux, Claire Marriott Keene, Prabin Dahal, Kasia Stepniewska, Sheetal Silal, Richard Lewis, Sabine Dittrich, Sunil Pokharel, Siyu Chen, Bo Gao, Umar Mahmood, Ricardo Aguas, Marta Wanat, Lisa White, Rima Shretta, Wirichada Pan-Ngum, Ainura Moldokmatova, Caroline Franco, Sompob Saralamba, Jared Norman, Rachel Hounsell, Reshania Naidoo, Melinda C Mills, Lisa J White, Merryn Voysey, Liberty Cantrell, Sophie Dickinson, Billie Andersen-Waine, Angus Ferguson-Lewis, Anastasia Polner, Ma’ayan Amswych, Anastasiia Polner, Claire Keene, Emily Rowe, Kweku Bimpong, Joseph L-H Tsui, Ma'ayan Amswych, Muhammad Kasim, Randolph Ngwafor Anye, Richard Creswell, Sumali Bajaj, and Tracy Evans
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Medicine - Abstract
Objective Testing for COVID-19 was a key component of the UK’s response to the COVID-19 pandemic. This strategy relied on positive individuals self-isolating to reduce transmission, making isolation the lynchpin in the public health approach. Therefore, we scoped evidence to systematically identify and categorise barriers and facilitators to compliance with self-isolation guidance during the COVID-19 pandemic in the UK, to inform public health strategies in future pandemics.Design A rapid scoping review was conducted.Search strategy Key terms were used to search literature databases (PubMed, Scopus and the WHO COVID-19 Research Database, on 7 November 2022), Google Scholar and stakeholder-identified manuscripts, ultimately including evidence published in English from UK-based studies conducted between 2020 and 2022.Data extraction and synthesis Data were extracted and synthesised into themes, organised broadly into capability, opportunity and motivation, and reviewed with key stakeholders from the UK Health Security Agency (UKHSA).Results We included 105 sources, with 63 identified from UKHSA and used to inform their decision-making during the pandemic. Influences on the decision to comply with isolation guidance were categorised into six themes: perceived ability to isolate; information and guidance; logistics; social influences, including trust; perceived value; and perceived consequences. Individuals continuously assessed these factors in deciding whether or not to comply with guidance and self-isolate.Conclusions Decisions to self-isolate after a positive test were influenced by multiple factors, including individuals’ beliefs, concerns, priorities and personal circumstances. Future testing strategies must facilitate meaningful financial, practical and mental health support to allow individuals to overcome the perceived and actual negative consequences of isolating. Clear, consistent communication of the purpose and procedures of isolating will also be critical to support compliance with self-isolation guidance, and should leverage people’s perceived value in protecting others. Building public trust is also essential, but requires investment before the next pandemic starts.
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- 2024
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17. Estimating the proportion of relapse following treatment of Visceral Leishmaniasis: meta-analysis using Infectious Diseases Data Observatory (IDDO) systematic reviewResearch in context
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Rutuja Chhajed, Prabin Dahal, Sauman Singh-Phulgenda, Matthew Brack, Caitlin Naylor, Shyam Sundar, Fabiana Alves, Kasia Stepniewska, and Philippe J. Guerin
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Visceral Leishmaniasis ,Kala-azar ,Systematic review ,Relapse ,Amphotericin B ,Miltefosine ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Occurrences of relapse after 6-months post-treatment has been reported in recent Visceral Leishmaniasis (VL) efficacy studies. A meta-analysis was carried out to quantify the proportion of relapses observed at and beyond 6-months using the Infectious Diseases Data Observatory (IDDO) systematic review (SR) database. Methods: Studies in the IDDO SR database (1983–2021; 160 studies) were eligible for inclusion if follow-up was at least 6-months, relapse was clearly reported, and patients with HIV coinfections were excluded. Meta-analysis of single proportion was undertaken and the estimates were reported with 95% confidence intervals (CI). Findings: Overall, 131 studies enrolling 27,687 patients were included; 1193 patients relapsed. In the Indian sub-continent (ISC), relapse estimates at 6-months was 4.5% [95% CI: 2.6%–7.5%; I2 = 66.2%] following single dose liposomal amphotericin B (L-AmB) and 1.5% [95% CI: 0.7%–3.3%; I2 = 0%] for L-AmB in a combination therapy. In East Africa (EA), corresponding estimates were 3.8% [95% CI: 1.3%–10.9%; I2 = 75.8%] following pentavalent antimony (PA), and 13.0% [95% CI: 4.3%–33.6%; I2 = 0%] for PA + paromomycin. From 21 studies with follow-up longer than 6-months, 0.6% [95% CI: 0.2%–1.8%; I2 = 0%] of patients relapsed after 6-months and estimated 27.6% [95% CI: 11.2%–53.4%; I2 = 12%] of relapses would have been missed by a 6-month follow-up. Interpretation: The estimated relapse proportion ranged from 0.5% to 4.5% in ISC and 3.8%–13.0% in EA with the currently recommended drugs. Over one-quarter of relapses would be missed with 6-months follow-up suggesting a longer follow-up may be warranted. Funding: Wellcome Trust (ref: 208378/Z/17/Z).
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- 2024
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18. Malaria patient spectrum representation in therapeutic clinical trials of uncomplicated malaria: a scoping review of the literature
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Arena, Lorenzo, Zanamwe, Mazvita, Halleux, Christine M., Carrara, Verena, Angus, Brian J., Ariana, Proochista, Humphreys, Georgina S., Richmond, Caitlin, Stepniewska, Kasia, Guérin, Philippe J., and Olliaro, Piero L.
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- 2023
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19. Post-discharge malaria chemoprevention in children admitted with severe anaemia in malaria-endemic settings in Africa: a systematic review and individual patient data meta-analysis of randomised controlled trials
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Phiri, Kamija S, Khairallah, Carole, Kwambai, Titus K, Bojang, Kalifa, Dhabangi, Aggrey, Opoka, Robert, Idro, Richard, Stepniewska, Kasia, van Hensbroek, Michael Boele, John, Chandy C, Robberstad, Bjarne, Greenwood, Brian, and Kuile, Feiko O ter
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- 2024
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20. Post-discharge malaria chemoprevention in children admitted with severe anaemia in malaria-endemic settings in Africa: a systematic review and individual patient data meta-analysis of randomised controlled trials
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Kamija S Phiri, ProfMD PhD, Carole Khairallah, MSc, Titus K Kwambai, MD PhD, Kalifa Bojang, MD PhD, Aggrey Dhabangi, MD PhD, Robert Opoka, MD PhD, Richard Idro, MD PhD, Kasia Stepniewska, PhD, Michael Boele van Hensbroek, ProfPhD, Chandy C John, ProfPhD, Bjarne Robberstad, ProfPhD, Brian Greenwood, ProfMD, and Feiko O ter Kuile, ProfMD PhD
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Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Severe anaemia is associated with high in-hospital mortality among young children. In malaria-endemic areas, surviving children also have an increased risk of mortality or readmission after hospital discharge. We conducted a systematic review and individual patient data meta-analysis to determine the efficacy of monthly post-discharge malaria chemoprevention in children recovering from severe anaemia. Methods: This analysis was conducted according to PRISMA-IPD guidelines. We searched multiple databases on Aug 28, 2023, without date or language restrictions, for randomised controlled trials comparing monthly post-discharge malaria chemoprevention with placebo or standard of care among children (aged
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- 2024
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21. Haematological dynamics following treatment of visceral leishmaniasis: a protocol for systematic review and individual participant data (IPD) meta-analysis
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James Wilson, Koert Ritmeijer, Fabiana Alves, Prabin Dahal, Kasia Stepniewska, Shyam Sundar, Philippe J Guérin, Manju Rahi, Ahmed Musa, Krishna Pandey, Rishikesh Kumar, Sauman Singh-Phulgenda, Niyamat Ali Siddiqui, Abdalla Munir, Caitlin Naylor, Gemma Buck, and Paritosh Malaviya
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Medicine - Abstract
Introduction Visceral leishmaniasis (VL) is a parasitic disease with an estimated 30 000 new cases occurring annually. Despite anaemia being a common haematological manifestation of VL, the evolution of different haematological characteristics following treatment remains poorly understood. An individual participant data meta-analysis (IPD-MA) is planned to characterise the haematological dynamics in patients with VL.Methods and analysis The Infectious Diseases Data Observatory (IDDO) VL data platform is a global repository of IPD from therapeutic studies identified through a systematic search of published literature (PROSPERO registration: CRD42021284622). The platform currently holds datasets from clinical trials standardised to a common data format. Corresponding authors and principal investigators of the studies indexed in the IDDO VL data platform meeting the eligibility criteria for inclusion were invited to be part of the collaborative IPD-MA. Mixed-effects multivariable regression models will be constructed to identify determinants of haematological parameters by taking clustering within study sites into account.Ethics and dissemination This IPD-MA meets the criteria for waiver of ethical review as defined by the Oxford Tropical Research Ethics Committee (OxTREC) granted to IDDO, as the research consists of secondary analysis of existing anonymised data (exempt granted on 29 March 2023, OxTREC REF: IDDO). Ethics approval was granted by the ICMR-Rajendra Memorial Research Institute of Medical Sciences ethics committee (letter no.: RMRI/EC/30/2022) on 4 July 2022. The results of this analysis will be disseminated at conferences, the IDDO website and peer-reviewed publications in open-access journals. The findings of this research will be critically important for control programmes at regional and global levels, policymakers and groups developing new VL treatments.PROSPERO registration number CRD42021284622.
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- 2023
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22. Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
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Nath, Vishwesh, Schilling, Kurt G., Hansen, Colin B., Parvathaneni, Prasanna, Hainline, Allison E., Bermudez, Camilo, Plassard, Andrew J., Janve, Vaibhav, Gao, Yurui, Blaber, Justin A., Stępniewska, Iwona, Anderson, Adam W., and Landman, Bennett A.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion weighted MRI models, e.g., constrained spherical deconvolution (CSD). Here, we apply deep learning to investigate the potential of single shell diffusion weighted MRI to explain histologically observed fiber orientation distributions (FOD) and compare the derived deep learning model with a leading CSD approach. This study (1) demonstrates that there exists additional information in the diffusion signal that is not currently exploited by CSD, and (2) provides an illustrative data-driven model that makes use of this information., Comment: 2 pages, 4 figures. This work was accepted and published as an abstract at ISMRM 2018 held in Paris, France
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- 2019
23. Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
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Nath, Vishwesh, Lyu, Ilwoo, Schilling, Kurt G., Parvathaneni, Prasanna, Hansen, Colin B., Tang, Yucheng, Huo, Yuankai, Janve, Vaibhav A., Gao, Yurui, Stepniewska, Iwona, Anderson, Adam W., and Landman, Bennett A.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent advances in data driven methods have enabled direct compari-son and optimization of methods for in-vivo data with externally validated histological sections with both 2-D and 3-D histology. Yet, all existing methods make limiting assumptions of either (1) model-based linkages between b-values or (2) limited associations with single shell data. We generalize prior deep learning models that used single shell spherical harmonic transforms to integrate the re-cently developed simple harmonic oscillator reconstruction (SHORE) basis. To enable learning on the SHORE manifold, we present an alternative formulation of the fiber orientation distribution (FOD) object using the SHORE basis while rep-resenting the observed diffusion weighted data in the SHORE basis. To ensure consistency of hyper-parameter optimization for SHORE, we present our Deep SHORE approach to learn on a data-optimized manifold. Deep SHORE is evalu-ated with eight-fold cross-validation of a preclinical MRI-histology data with four b-values. Generalizability of in-vivo human data is evaluated on two separate 3T MRI scanners. Specificity in terms of angular correlation (ACC) with the preclinical data improved on single shell: 0.78 relative to 0.73 and 0.73, multi-shell: 0.80 relative to 0.74 (p < 0.001). In the in-vivo human data, Deep SHORE was more consistent across scanners with 0.63 relative to other multi-shell methods 0.39, 0.52 and 0.57 in terms of ACC. In conclusion, Deep SHORE is a promising method to enable data driven learning with DW-MRI under conditions with varying b-values, number of diffusion shells, and gradient directions per shell.
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- 2019
24. Improving detection of protein-ligand binding sites with 3D segmentation
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Stepniewska-Dziubinska, Marta M., Zielenkiewicz, Piotr, and Siedlecki, Pawel
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Quantitative Biology - Biomolecules ,Computer Science - Machine Learning - Abstract
In recent years machine learning (ML) took bio- and cheminformatics fields by storm, providing new solutions for a vast repertoire of problems related to protein sequence, structure, and interactions analysis. ML techniques, deep neural networks especially, were proven more effective than classical models for tasks like predicting binding affinity for molecular complex. In this work we investigated the earlier stage of drug discovery process - finding druggable pockets on protein surface, that can be later used to design active molecules. For this purpose we developed a 3D fully convolutional neural network capable of binding site segmentation. Our solution has high prediction accuracy and provides intuitive representations of the results, which makes it easy to incorporate into drug discovery projects. The model's source code, together with scripts for most common use-cases is freely available at http://gitlab.com/cheminfIBB/kalasanty
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- 2019
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25. Fracture toughness of a metal-organic framework glass.
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To, Theany, Sørensen, Søren S, Stepniewska, Malwina, Qiao, Ang, Jensen, Lars R, Bauchy, Mathieu, Yue, Yuanzheng, and Smedskjaer, Morten M
- Abstract
Metal-organic framework glasses feature unique thermal, structural, and chemical properties compared to traditional metallic, organic, and oxide glasses. So far, there is a lack of knowledge of their mechanical properties, especially toughness and strength, owing to the challenge in preparing large bulk glass samples for mechanical testing. However, a recently developed melting method enables fabrication of large bulk glass samples (>25 mm3) from zeolitic imidazolate frameworks. Here, fracture toughness (KIc) of a representative glass, namely ZIF-62 glass (Zn(C3H3N2)1.75(C7H5N2)0.25), is measured using single-edge precracked beam method and simulated using reactive molecular dynamics. KIc is determined to be ~0.1 MPa m0.5, which is even lower than that of brittle oxide glasses due to the preferential breakage of the weak coordinative bonds (Zn-N). The glass is found to exhibit an anomalous brittle-to-ductile transition behavior, considering its low fracture surface energy despite similar Poisson's ratio to that of many ductile metallic and organic glasses.
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- 2020
26. Malaria patient spectrum representation in therapeutic clinical trials of uncomplicated malaria: a scoping review of the literature
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Lorenzo Arena, Mazvita Zanamwe, Christine M. Halleux, Verena Carrara, Brian J. Angus, Proochista Ariana, Georgina S. Humphreys, Caitlin Richmond, Kasia Stepniewska, Philippe J. Guérin, and Piero L. Olliaro
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Malaria ,Antimalarials ,Clinical trial ,Patient selection ,Review ,Uncomplicated malaria ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background For the results of clinical trials to have external validity, the patients included in the study must be representative of the population presenting in the general clinical settings. A scoping literature review was performed to evaluate how the eligibility criteria used in anti-malarial efficacy and safety trials translate into patient selection. Methods A search of the WorldWide Antimalarial Resistance Network (WWARN) Clinical Trials Publication Library, MEDLINE, The Cochrane Library, and clinicaltrials.gov was conducted to identify trials investigating anti-malarial efficacy and safety, published between 14th April 2001 and 31st December 2017. An updated search using the WWARN Clinical Trial Publication Library was undertaken to identify eligible publications from 1st January 2018 to 31st July 2021. The review included studies in patients of any age with uncomplicated malaria and any pharmaceutical therapeutic intervention administered. The proportion of trials with malaria-positive patients excluded was calculated and linked to the reported reason for exclusion. A subgroup analysis on eligibility criteria and trial baseline demographics was conducted to assess whether criteria are complied with when recruiting patients. Results Out of 847 studies, 176 (21%) trials were included in the final synthesis, screening a total of 157,516 malaria-positive patients, of whom 56,293 (36%) were enrolled and treated. Across the 176 studies included, 84 different inclusion and exclusion criteria were identified. The reason for exclusion of patients who tested positive for malaria was reported in 144 (82%) studies. Three criteria account for about 70% of malaria-positive patients excluded: mixed-species malaria infections or other specific Plasmodium species, parasite counts outside the set study ranges, and refusal of consent. Conclusions Nearly two-thirds of the malaria-positive subjects who present to health facilities are systematically excluded from anti-malarial treatment trials. Reasons for exclusions are largely under-reported. Anti-malarial treatment in the general population is informed by studies on a narrow selection of patients who do not fully represent the totality of those seeking antimalarial treatment in routine practice. While entry criteria ensure consistency across trials, pragmatic trials are also necessary to supplement the information currently available and improve the external validity of the findings of malaria clinical trials.
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- 2023
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27. Prevalence of and risk factors for microscopic and submicroscopic malaria infections in pregnancy: a systematic review and meta-analysis
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van Eijk, Anna Maria, Stepniewska, Kasia, Hill, Jenny, Taylor, Steve M., Rogerson, Stephen J., Cottrell, Gilles, Chico, R. Matthew, Gutman, Julie R., Tinto, Hallidou, Unger, Holger W., Yanow, Stephanie K., Accrombessi, Manfred, Adegnika, Ayola A., Ahmed, Rukhsana, Arango-Flórez, Eliana María, Arevalo-Herrera, Myriam, Arinaitwe, Emmanual, Arnaldo, Paulo, Ashorn, Per, Ashorn, Ulla, Bardaji, Azucena, Betuela, Inoni, Bharti, Praveen K., Bohissou, Francis, Bôtto-Menezes, Camila, Braun, Vera, Briand, Valerie, Briggs, Jessica, Castellanos, María Eugenia, Chandramohan, Daniel, Chaponda, Enesia Banda, Chitnis, Chetan, Cohee, Lauren M., Cot, Michel, d'Alessandro, Umberto, Denoeud-Ndam, Lise, Desai, Meghna, Dicko, Alassane, Ding, Xavier, Dorsey, Grant, Duffy, Patrick E., Elbadry, Maha A., Enosse, Sonia M., Fan, Yue, Fievet, Nadine, Fried, Michal, Genton, Blaise, Gonzalez, Raquel, Greenwood, Brian, Kalilani, Linda, Kattenberg, Johanna H., Kayentao, Kassoum, Khairallah, Carole, King, Christopher L., Kochar, Dhanpat Kumar, Kochar, Swati, Koukouikila-Koussounda, Felix, Landis, Sarah H., Laufer, Miriam K., Leke, Rose F., Macete, Eusebio, Maculuve, Sonia, Madanitsa, Mwayiwawo, Mahamar, Almahamoudou, Maleta, Ken, Malhotra, Indu, Zoleko Manego, Rella, Martinez-Espinosa, Flor Ernestina, Massougbodji, Achille, Mathanga, Don, Menegon, Michela, Menendez, Clara, Mens, Petra, Meremikwu, Martin, Mockenhaupt, Frank P., Mombo-Ngoma, Ghyslain, Mosha, Dominic, Mueller, Ivo, Nahum, Alain, Natureeba, Paul, Ndam, Nicaise, Ntoumi, Francine, Oduwole, Olabisi A., Okech, Bernard A., Ome-Kaius, Maria, Otieno, Kephas, Padilla, Norma, Ramharter, Michal, Rochford, Rosemary, Rosanas-Urgell, Anna, Ruperez, Maria, Sabourin, Katherine R., Sanz, Sergi, Schallig, Henk D., Scott, Susana, Sevene, Esperanca, Severini, Carlo, Tagbor, Harry, Taylor, Diane Wallace, Traore Coulibaly, Maminata, Vasquez, Ana, Walker-Abbey, Annie, Wylie, Blair J., Zannou, Djimon M., Meshnick, Stephen R., ter Kuile, Feiko O., Mayor, Alfredo, Taylor, Steve M, Rogerson, Stephen J, Chico, R Matthew, Gutman, Julie R, Tinto, Halidou, Unger, Holger W, Yanow, Stephanie K, Meshnick, Steven R, and ter Kuile, Feiko O
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- 2023
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28. COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys
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Bajaj, Sumali, Chen, Siyu, Creswell, Richard, Naidoo, Reshania, Tsui, Joseph L-H, Kolade, Olumide, Nicholson, George, Lehmann, Brieuc, Hay, James A, Kraemer, Moritz U G, Aguas, Ricardo, Donnelly, Christl A, Fowler, Tom, Hopkins, Susan, Cantrell, Liberty, Dahal, Prabin, White, Lisa J, Stepniewska, Kasia, Voysey, Merryn, Lambert, Ben, Aguas, Ricardo, Amswych, Ma'ayan, Andersen-Waine, Billie, Bajaj, Sumali, Bimpong, Kweku, Bodley, Adam, Cantrell, Liberty, Chen, Siyu, Creswell, Richard, Dahal, Prabin, Dickinson, Sophie, Dittrich, Sabine, Evans, Tracy, Ferguson-Lewis, Angus, Franco, Caroline, Gao, Bo, Hounsell, Rachel, Kasim, Muhammad, Keene, Claire, Lambert, Ben, Mahmood, Umar, Mills, Melinda, Moldokmatova, Ainura, Molyneux, Sassy, Naidoo, Reshania, Ngwafor Anye, Randolph, Norman, Jared, Pan-Ngum, Wirichada, Pokharel, Sunil, Polner, Anastasiia, Rowe, Emily, Saralamba, Sompob, Shretta, Rima, Silal, Sheetal, Stepniewska, Kasia, L-H Tsui, Joseph, Voysey, Merryn, Wanat, Marta, and White, Lisa J
- Abstract
Understanding underlying mechanisms of heterogeneity in test-seeking and reporting behaviour during an infectious disease outbreak can help to protect vulnerable populations and guide equity-driven interventions. The COVID-19 pandemic probably exerted different stresses on individuals in different sociodemographic groups and ensuring fair access to and usage of COVID-19 tests was a crucial element of England's testing programme. We aimed to investigate the relationship between sociodemographic factors and COVID-19 testing behaviours in England during the COVID-19 pandemic.
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- 2024
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29. Host, parasite and drug determinants of clinical outcomes following treatment of visceral leishmaniasis: a protocol for individual participant data meta-analysis
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James Wilson, Koert Ritmeijer, Fabiana Alves, Prabin Dahal, Kasia Stepniewska, Shyam Sundar, Philippe J Guérin, Manju Rahi, Krishna Pandey, Rishikesh Kumar, Sauman Singh-Phulgenda, Niyamat Ali Siddiqui, Abdalla Munir, Caitlin Naylor, Gemma Buck, and Paritosh Malaviya
- Subjects
Medicine - Abstract
Introduction Visceral leishmaniasis (VL) is a parasitic disease with an estimated 30 000 new cases occurring annually. There is an observed variation in the efficacy of the current first-line therapies across different regions. Such heterogeneity could be a function of host, parasite and drug factors. An individual participant data meta-analysis (IPD-MA) is planned to explore the determinants of treatment outcomes.Methods and analysis The Infectious Diseases Data Observatory (IDDO) VL living systematic review (IDDO VL LSR) library is an open-access resource of all published therapeutic studies in VL since 1980. For this current review, the search includes all clinical trials published between 1 January 1980 and 2 May 2021. Studies indexed in the IDDO VL LSR library were screened for eligibility for inclusion in this IPD-MA. Corresponding authors and principal investigators of the studies meeting the eligibility criteria for inclusion were invited to be part of the collaborative IPD-MA. Authors agreeing to participate in this collaborative research were requested to share the IPD using the IDDO VL data platform. The IDDO VL data platform currently holds data sets from clinical trials standardised to a common data format and provides a unique opportunity to identify host, parasite and drug determinants of treatment outcomes. Multivariable regression models will be constructed to identify determinants of therapeutic outcomes using generalised linear mixed-effects models accounting for within-study site clustering.Ethics and dissemination This IPD-MA meets the criteria for waiver of ethical review as defined by the Oxford Tropical Research Ethics Committee (OxTREC) granted to IDDO, as the research consists of secondary analysis of existing anonymised data (Exempt granted on 29 March 2023, OxTREC REF: IDDO) Ethics approval was granted by the ICMR-Rajendra Memorial Research Institute of Medical Sciences ethics committee (Letter no: RMRI/EC/30/2022) on 04-07-2022. The results of this IPD-MA will be disseminated at conferences, IDDO website and any peer-reviewed publications. All publications will be open source. Findings of this research will be critically important for the control programmes at regional/global levels, policy makers and groups developing new VL treatments.PROSPERO registration CRD42021284622.
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- 2023
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30. Prognostic prediction models for clinical outcomes in patients diagnosed with visceral leishmaniasis: protocol for a systematic review
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James Wilson, Fabiana Alves, Prabin Dahal, Kasia Stepniewska, Philippe J Guérin, Elinor K Harriss, Forhad Chowdhury, and Shermarke Hassan
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Medicine - Abstract
Introduction Visceral leishmaniasis (VL) is a neglected tropical disease responsible for many thousands of preventable deaths each year. Symptomatic patients often struggle to access effective treatment, without which death is the norm. Risk prediction tools support clinical teams and policymakers in identifying high-risk patients who could benefit from more intensive management pathways. Investigators interested in using their clinical data for prognostic research should first identify currently available models that are candidates for validation and possible updating. Addressing these needs, we aim to identify, summarise and appraise the available models predicting clinical outcomes in VL patients.Methods and analysis We will include studies that have developed, validated or updated prognostic models predicting future clinical outcomes in patients diagnosed with VL. Systematic reviews and meta-analyses that include eligible studies are also considered for review. Conference abstracts and educational theses are excluded. Data extraction, appraisal and reporting will follow current methodological guidelines. Ovid Embase; Ovid MEDLINE; the Web of Science Core Collection, SciELO and LILACS are searched from database inception to 1 March 2023 using terms developed for the identification of prediction models, and with no language restriction. Screening, data extraction and risk of bias assessment will be performed in duplicate with discordance resolved by a third independent reviewer. Risk of bias will be assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Tables and figures will compare and contrast key model information, including source data, participants, model development and performance measures, and risk of bias. We will consider the strengths, limitations and clinical applicability of the identified models.Ethics and dissemination Ethics approval is not required for this review. The systematic review and all accompanying data will be submitted to an open-access journal. Findings will also be disseminated through the research group’s website (www.iddo.org/research-themes/visceral-leishmaniasis) and social media channels.PROSPERO registration number CRD42023417226.
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- 2023
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31. Environmental Change and Management
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Mizgajski, Andrzej, Stępniewska, Małgorzata, Kogler, Dieter, Series Editor, Dannenberg, Peter, Series Editor, Yavan, Nuri, Advisory Editor, Oinas, Paivi, Advisory Editor, Webber, Michael, Advisory Editor, Rigby, David, Advisory Editor, Churski, Paweł, editor, and Kaczmarek, Tomasz, editor
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- 2022
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32. Green Infrastructure and Social Perception of Its Ecosystem Services Within Spatial Structure of the City – Examples from Poznań, Poland
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Zwierzchowska, Iwona, Stępniewska, Małgorzata, Misiune, Ieva, editor, Depellegrin, Daniel, editor, and Egarter Vigl, Lukas, editor
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- 2022
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33. Ultrasonographic Findings Indirectly Predicting Parametrial Involvement in Patients with Deep Endometriosis: The ULTRA-PARAMETRENDO I Study
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Barra, Fabio, Zorzi, Carlotta, Albanese, Mara, Stepniewska, Anna, Deromemaj, Xheni, De Mitri, Paola, Roviglione, Giovanni, Clarizia, Roberto, Gustavino, Claudio, Ferrero, Simone, and Ceccaroni, Marcello
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- 2023
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34. Heat can treat: long-term follow-up results after uterine-sparing treatment of adenomyosis with radiofrequency thermal ablation in 60 hysterectomy candidate patients
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Stepniewska, Anna Katarzyna, Baggio, Silvia, Clarizia, Roberto, Bruni, Francesco, Roviglione, Giovanni, Ceccarello, Matteo, Manzone, Maria, Guerriero, Massimo, and Ceccaroni, Marcello
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- 2022
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35. Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning
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Nath, Vishwesh, Parvathaneni, Prasanna, Hansen, Colin B., Hainline, Allison E., Bermudez, Camilo, Remedios, Samuel, Blaber, Justin A., Schilling, Kurt G., Lyu, Ilwoo, Janve, Vaibhav, Gao, Yurui, Stepniewska, Iwona, Rogers, Baxter P., Newton, Allen T., Davis, L. Taylor, Luci, Jeff, Anderson, Adam W., and Landman, Bennett A.
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-invasive imaging of the local fiber architecture of the human brain at a millimetric scale. Multiple classical approaches have been proposed to detect both single (e.g., tensors) and multiple (e.g., constrained spherical deconvolution, CSD) fiber population orientations per voxel. However, existing techniques generally exhibit low reproducibility across MRI scanners. Herein, we propose a data-driven tech-nique using a neural network design which exploits two categories of data. First, training data were acquired on three squirrel monkey brains using ex-vivo DW-MRI and histology of the brain. Second, repeated scans of human subjects were acquired on two different scanners to augment the learning of the network pro-posed. To use these data, we propose a new network architecture, the null space deep network (NSDN), to simultaneously learn on traditional observed/truth pairs (e.g., MRI-histology voxels) along with repeated observations without a known truth (e.g., scan-rescan MRI). The NSDN was tested on twenty percent of the histology voxels that were kept completely blind to the network. NSDN significantly improved absolute performance relative to histology by 3.87% over CSD and 1.42% over a recently proposed deep neural network approach. More-over, it improved reproducibility on the paired data by 21.19% over CSD and 10.09% over a recently proposed deep approach. Finally, NSDN improved gen-eralizability of the model to a third in vivo human scanner (which was not used in training) by 16.08% over CSD and 10.41% over a recently proposed deep learn-ing approach. This work suggests that data-driven approaches for local fiber re-construction are more reproducible, informative and precise and offers a novel, practical method for determining these models., Comment: 10 pages, 5 figures
- Published
- 2018
36. Breaking the Limit of Micro‐Ductility in Oxide Glasses
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Januchta, Kacper, Stepniewska, Malwina, Jensen, Lars R, Zhang, Yang, Somers, Marcel AJ, Bauchy, Mathieu, Yue, Yuanzheng, and Smedskjaer, Morten M
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Engineering ,Materials Engineering ,crack resistance ,deformation ,glasses ,indentation ,micro-ductility ,micro‐ductility - Abstract
Oxide glasses are one of the most important engineering and functional material families owing to their unique features, such as tailorable physical properties. However, at the same time intrinsic brittleness has been their main drawback, which severely restricts many applications. Despite much progress, a breakthrough in developing ultra-damage-resistant and ductile oxide glasses still needs to be made. Here, a critical advancement toward such oxide glasses is presented. In detail, a bulk oxide glass with a record-high crack resistance is obtained by subjecting a caesium aluminoborate glass to surface aging under humid conditions, enabling it to sustain sharp contact deformations under loads of ≈500 N without forming any strength-limiting cracks. This ultra-high crack resistance exceeds that of the annealed oxide glasses by more than one order of magnitude, making this glass micro-ductile. In addition, a remarkable indentation behavior, i.e., a time-dependent shrinkage of the indent cavity, is demonstrated. Based on structural analyses, a molecular-scale deformation model to account for both the ultra-high crack resistance and the time-dependent shrinkage in the studied glass is proposed.
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- 2019
37. Safety of single-dose primaquine as a Plasmodium falciparum gametocytocide: a systematic review and meta-analysis of individual patient data
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Kasia Stepniewska, Elizabeth N. Allen, Georgina S. Humphreys, Eugenie Poirot, Elaine Craig, Kalynn Kennon, Daniel Yilma, Teun Bousema, Philippe J. Guerin, Nicholas J. White, Ric N. Price, Jaishree Raman, Andreas Martensson, Richard O. Mwaiswelo, Germana Bancone, Guido J. H. Bastiaens, Anders Bjorkman, Joelle M. Brown, Umberto D’Alessandro, Alassane A. Dicko, Badria El-Sayed, Salah-Eldin Elzaki, Alice C. Eziefula, Bronner P. Gonçalves, Muzamil Mahdi Abdel Hamid, Akira Kaneko, Simon Kariuki, Wasif Khan, Titus K. Kwambai, Benedikt Ley, Billy E. Ngasala, Francois Nosten, Joseph Okebe, Aaron M. Samuels, Menno R. Smit, Will J. R. Stone, Inge Sutanto, Feiko Ter Kuile, Roger C. Tine, Alfred B. Tiono, Chris J. Drakeley, Roly Gosling, Andy Stergachis, Karen I. Barnes, and Ingrid Chen
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Malaria ,Primaquine ,Clinical trial ,Safety ,Haemoglobin ,Haemoglobinuria adverse events ,Medicine - Abstract
Abstract Background In 2012, the World Health Organization (WHO) recommended single low-dose (SLD, 0.25 mg/kg) primaquine to be added as a Plasmodium (P.) falciparum gametocytocide to artemisinin-based combination therapy (ACT) without glucose-6-phosphate dehydrogenase (G6PD) testing, to accelerate malaria elimination efforts and avoid the spread of artemisinin resistance. Uptake of this recommendation has been relatively slow primarily due to safety concerns. Methods A systematic review and individual patient data (IPD) meta-analysis of single-dose (SD) primaquine studies for P. falciparum malaria were performed. Absolute and fractional changes in haemoglobin concentration within a week and adverse effects within 28 days of treatment initiation were characterised and compared between primaquine and no primaquine arms using random intercept models. Results Data comprised 20 studies that enrolled 6406 participants, of whom 5129 (80.1%) had received a single target dose of primaquine ranging between 0.0625 and 0.75 mg/kg. There was no effect of primaquine in G6PD-normal participants on haemoglobin concentrations. However, among 194 G6PD-deficient African participants, a 0.25 mg/kg primaquine target dose resulted in an additional 0.53 g/dL (95% CI 0.17–0.89) reduction in haemoglobin concentration by day 7, with a 0.27 (95% CI 0.19–0.34) g/dL haemoglobin drop estimated for every 0.1 mg/kg increase in primaquine dose. Baseline haemoglobin, young age, and hyperparasitaemia were the main determinants of becoming anaemic (Hb < 10 g/dL), with the nadir observed on ACT day 2 or 3, regardless of G6PD status and exposure to primaquine. Time to recovery from anaemia took longer in young children and those with baseline anaemia or hyperparasitaemia. Serious adverse haematological events after primaquine were few (9/3, 113, 0.3%) and transitory. One blood transfusion was reported in the primaquine arms, and there were no primaquine-related deaths. In controlled studies, the proportions with either haematological or any serious adverse event were similar between primaquine and no primaquine arms. Conclusions Our results support the WHO recommendation to use 0.25 mg/kg of primaquine as a P. falciparum gametocytocide, including in G6PD-deficient individuals. Although primaquine is associated with a transient reduction in haemoglobin levels in G6PD-deficient individuals, haemoglobin levels at clinical presentation are the major determinants of anaemia in these patients. Trial registration PROSPERO, CRD42019128185
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- 2022
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38. Antimicrobial resistance patterns in bacteria causing febrile illness in Africa, South Asia, and Southeast Asia: a systematic review of published etiological studies from 1980-2015
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Tamalee Roberts, Prabin Dahal, Poojan Shrestha, William Schilling, Rujan Shrestha, Roland Ngu, Vu Thi Lan Huong, H Rogier van Doorn, Vilayouth Phimolsarnnousith, Thyl Miliya, John A Crump, David Bell, Paul N Newton, Sabine Dittrich, Heidi Hopkins, Kasia Stepniewska, Philippe J Guerin, Elizabeth A Ashley, and Paul Turner
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Fever ,Febrile illness ,Africa ,South Asia ,Southeast Asia ,Diagnostic ,Infectious and parasitic diseases ,RC109-216 - Abstract
Objective: In this study, we aimed to conduct a systematic review to characterize antimicrobial resistance (AMR) patterns for bacterial causes of febrile illness in Africa and Asia. Methods: We included published literature from 1980-2015 based on data extracted from two recent systematic reviews of nonmalarial febrile illness from Africa, South Asia, and Southeast Asia. Selection criteria included articles with full bacterial identification and antimicrobial susceptibility testing (AST) results for key normally sterile site pathogen-drug combinations. Pooled proportions of resistant isolates were combined using random effects meta-analysis. Study data quality was graded using the Microbiology Investigation Criteria for Reporting Objectively (MICRO) framework. Results: Of 3475 unique articles included in the previous reviews, 371 included the target pathogen-drug combinations. Salmonella enterica tested against ceftriaxone and ciprofloxacin were the two highest reported combinations (30,509 and 22,056 isolates, respectively). Pooled proportions of resistant isolates were high for third-generation cephalosporins for Klebsiella pneumoniae and Escherichia coli in all regions. The MICRO grading showed an overall lack of standardization. Conclusion: This review highlights a general increase in AMR reporting and in resistance over time. However, there were substantial problems with diagnostic microbiological data quality. Urgent strengthening of laboratory capacity, standardized testing, and reporting of AST results is required to improve AMR surveillance.
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- 2022
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39. Antimicrobial resistance patterns in bacteria causing febrile illness in Africa, South Asia, and Southeast Asia: a systematic review of published etiological studies from 1980-2015
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Roberts, Tamalee, Dahal, Prabin, Shrestha, Poojan, Schilling, William, Shrestha, Rujan, Ngu, Roland, Huong, Vu Thi Lan, van Doorn, H Rogier, Phimolsarnnousith, Vilayouth, Miliya, Thyl, Crump, John A, Bell, David, Newton, Paul N, Dittrich, Sabine, Hopkins, Heidi, Stepniewska, Kasia, Guerin, Philippe J, Ashley, Elizabeth A, and Turner, Paul
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- 2022
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40. The various faces of transdisciplinarity in research on ecosystem services: Editorial to Special Issue
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Stępniewska, Małgorzata, Grunewald, Karsten, Villoslada, Miguel, and Mizgajski, Andrzej
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- 2022
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41. “The Sword in the Stone”: radical excision of deep infiltrating endometriosis with bowel shaving—a single-centre experience on 703 consecutive patients
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Ceccaroni, Marcello, Clarizia, Roberto, Mussi, Erica Adele, Stepniewska, Anna Katarzyna, De Mitri, Paola, Ceccarello, Matteo, Ruffo, Giacomo, Bruni, Francesco, Rettore, Lorenzo, and Surico, Daniela
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- 2022
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42. Taxonomic revision of the acidophilic genus Acidiella (Dothideomycetes, Capnodiales) with a description of new species from Poland
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Kolařík, Miroslav, Stȩpniewska, Hanna, and Jankowiak, Robert
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- 2021
43. Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
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Stepniewska-Dziubinska, Marta M., Zielenkiewicz, Piotr, and Siedlecki, Pawel
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Statistics - Machine Learning ,Computer Science - Learning ,Quantitative Biology - Biomolecules - Abstract
Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has recently gained considerable attention as it allows the model to "learn" to extract features that are relevant for the task at hand. We have developed a novel deep neural network estimating the binding affinity of ligand-receptor complexes. The complex is represented with a 3D grid, and the model utilizes a 3D convolution to produce a feature map of this representation, treating the atoms of both proteins and ligands in the same manner. Our network was tested on the CASF "scoring power" benchmark and Astex Diverse Set and outperformed classical scoring functions. The model, together with usage instructions and examples, is available as a git repository at http://gitlab.com/cheminfIBB/pafnucy
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- 2017
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44. Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning
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Debashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, Ketsanee Srinamon, Kalynn Kennon, Kasia Stepniewska, Aniruddha Ghose, Abdullah Abu Sayeed, M. Abul Faiz, Rebeca Linhares Abreu Netto, Andre Siqueira, Serge R. Yerbanga, Jean Bosco Ouédraogo, James J. Callery, Thomas J. Peto, Rupam Tripura, Felix Koukouikila-Koussounda, Francine Ntoumi, John Michael Ong’echa, Bernhards Ogutu, Prakash Ghimire, Jutta Marfurt, Benedikt Ley, Amadou Seck, Magatte Ndiaye, Bhavani Moodley, Lisa Ming Sun, Laypaw Archasuksan, Stephane Proux, Sam L. Nsobya, Philip J. Rosenthal, Matthew P. Horning, Shawn K. McGuire, Courosh Mehanian, Stephen Burkot, Charles B. Delahunt, Christine Bachman, Ric N. Price, Arjen M. Dondorp, François Chappuis, Philippe J. Guérin, and Mehul Dhorda
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Malaria ,Light microscopy ,Digital microscopy ,Artificial intelligence ,Diagnostic accuracy ,Machine-learning ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Microscopic examination of Giemsa-stained blood films remains the reference standard for malaria parasite detection and quantification, but is undermined by difficulties in ensuring high-quality manual reading and inter-reader reliability. Automated parasite detection and quantification may address this issue. Methods A multi-centre, observational study was conducted during 2018 and 2019 at 11 sites to assess the performance of the EasyScan Go, a microscopy device employing machine-learning-based image analysis. Sensitivity, specificity, accuracy of species detection and parasite density estimation were assessed with expert microscopy as the reference. Intra- and inter-device reliability of the device was also evaluated by comparing results from repeat reads on the same and two different devices. This study has been reported in accordance with the Standards for Reporting Diagnostic accuracy studies (STARD) checklist. Results In total, 2250 Giemsa-stained blood films were prepared and read independently by expert microscopists and the EasyScan Go device. The diagnostic sensitivity of EasyScan Go was 91.1% (95% CI 88.9–92.7), and specificity 75.6% (95% CI 73.1–78.0). With good quality slides sensitivity was similar (89.1%, 95%CI 86.2–91.5), but specificity increased to 85.1% (95%CI 82.6–87.4). Sensitivity increased with parasitaemia rising from 57% at 200–200,000 parasite/µL. Species were identified accurately in 93% of Plasmodium falciparum samples (kappa = 0.76, 95% CI 0.69–0.83), and in 92% of Plasmodium vivax samples (kappa = 0.73, 95% CI 0.66–0.80). Parasite density estimates by the EasyScan Go were within ± 25% of the microscopic reference counts in 23% of slides. Conclusions The performance of the EasyScan Go in parasite detection and species identification accuracy fulfil WHO-TDR Research Malaria Microscopy competence level 2 criteria. In terms of parasite quantification and false positive rate, it meets the level 4 WHO-TDR Research Malaria Microscopy criteria. All performance parameters were significantly affected by slide quality. Further software improvement is required to improve sensitivity at low parasitaemia and parasite density estimations. Trial registration ClinicalTrials.gov number NCT03512678.
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- 2022
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45. Factors influencing health workers’ compliance with outpatient malaria ‘test and treat’ guidelines during the plateauing performance phase in Kenya, 2014–2016
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Beatrice Amboko, Kasia Stepniewska, Beatrice Machini, Philip Bejon, Robert W. Snow, and Dejan Zurovac
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Malaria ,Case-management ,Factors ,‘Test and Treat’ ,Compliance ,Kenya ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Health workers’ compliance with outpatient malaria ‘test and treat’ guidelines has improved since 2010 but plateaued from 2014 at suboptimal levels in Kenya. This study examined the factors associated with high but suboptimal compliance levels at facilities with available malaria tests and drugs. Methods Data from four national, cross-sectional health facility surveys undertaken between 2014 and 2016 in Kenya were analysed. Association between 31 factors and compliance with malaria testing (survey range (SR): 65–69%) and no anti-malarial treatment for test negative patients (SR: 90–92%) were examined using multilevel logistic regression models. Results A total of 2,752 febrile patients seen by 594 health workers at 486 health facilities were analysed. Higher odds of malaria testing were associated with lake endemic (aOR = 12.12; 95% CI: 5.3–27.6), highland epidemic (aOR = 5.06; 95% CI: 2.7–9.5) and semi-arid seasonal (aOR = 2.07; 95% CI: 1.2–3.6) compared to low risk areas; faith-based (FBO)/ non-governmental organization (NGO)-owned compared to government-owned facilities (aOR = 5.80; 95% CI: 3.2–10.6); health workers’ perception of malaria endemicity as high-risk (aOR = 3.05; 95% CI: 1.8–5.2); supervision with feedback (aOR = 1.84; 95% CI: 1.2–2.9); access to guidelines (aOR = 1.96; 95% CI: 1.1–3.4); older patients compared to infants, higher temperature measurements and main complaints of fever, diarrhoea, headache, vomiting and chills. Lower odds of testing were associated with febrile patients having main complaints of a cough (aOR = 0.65; 95% CI: 0.5–0.9), a rash (aOR = 0.32; 95% CI: 0.2–0.7) or a running nose (aOR = 0.59; 95% CI: 0.4–0.9). Other factors associated with compliance with test negative results included the type of diagnostic test available at the facility, in-service training, health workers’ age, and correct knowledge of the targeted treatment policy. Conclusions To optimize outpatient malaria case-management, reduce testing compliance gaps and eliminate overtreatment of test negative patients, there is a need to focus on compliance within low malaria risk areas in addition to ensuring the universal and continuous availability of ‘test and treat’ commodities. Targeting of older and government health workers; dissemination of updated guidelines; and continuing with in-service training and supportive supervision with feedback is essential. Lastly, there is a need to improve health workers’ knowledge about malaria testing criteria considering their perceptions of endemicity.
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- 2022
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46. Interaction of dough preparation method, green tea extract and baking temperature on the quality of rye bread and acrylamide content
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Onacik-Gür, Sylwia, Szafrańska, Anna, Roszko, Marek, and Stępniewska, Sylwia
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- 2022
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47. Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning
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Das, Debashish, Vongpromek, Ranitha, Assawariyathipat, Thanawat, Srinamon, Ketsanee, Kennon, Kalynn, Stepniewska, Kasia, Ghose, Aniruddha, Sayeed, Abdullah Abu, Faiz, M. Abul, Netto, Rebeca Linhares Abreu, Siqueira, Andre, Yerbanga, Serge R., Ouédraogo, Jean Bosco, Callery, James J., Peto, Thomas J., Tripura, Rupam, Koukouikila-Koussounda, Felix, Ntoumi, Francine, Ong’echa, John Michael, Ogutu, Bernhards, Ghimire, Prakash, Marfurt, Jutta, Ley, Benedikt, Seck, Amadou, Ndiaye, Magatte, Moodley, Bhavani, Sun, Lisa Ming, Archasuksan, Laypaw, Proux, Stephane, Nsobya, Sam L., Rosenthal, Philip J., Horning, Matthew P., McGuire, Shawn K., Mehanian, Courosh, Burkot, Stephen, Delahunt, Charles B., Bachman, Christine, Price, Ric N., Dondorp, Arjen M., Chappuis, François, Guérin, Philippe J., and Dhorda, Mehul
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- 2022
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48. Factors influencing health workers’ compliance with outpatient malaria ‘test and treat’ guidelines during the plateauing performance phase in Kenya, 2014–2016
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Amboko, Beatrice, Stepniewska, Kasia, Machini, Beatrice, Bejon, Philip, Snow, Robert W., and Zurovac, Dejan
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- 2022
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49. Boosting the impact of seasonal malaria chemoprevention (SMC) through simultaneous screening and treatment of household members of children receiving SMC in Burkina Faso: a protocol for a randomized open label trial
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Sondo, Paul, Tahita, Marc Christian, Ilboudo, Hamidou, Rouamba, Toussaint, Derra, Karim, Tougri, Gauthier, Ouédraogo, Florence, Konseibo, Béatrice Marie Adélaïde, Roamba, Eli, Otienoburu, Sabina Dahlström, Kaboré, Bérenger, Kennon, Kalynn, Ouédraogo, Kadija, Zongo, Wend-Timbe-Noma Arlette Raïssa, Bocoum, Fadima Yaya, Stepniewska, Kasia, Dhorda, Mehul, Guérin, Philippe J., and Tinto, Halidou
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- 2022
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50. Safety of single-dose primaquine as a Plasmodium falciparum gametocytocide: a systematic review and meta-analysis of individual patient data
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Stepniewska, Kasia, Allen, Elizabeth N., Humphreys, Georgina S., Poirot, Eugenie, Craig, Elaine, Kennon, Kalynn, Yilma, Daniel, Bousema, Teun, Guerin, Philippe J., White, Nicholas J., Price, Ric N., Raman, Jaishree, Martensson, Andreas, Mwaiswelo, Richard O., Bancone, Germana, Bastiaens, Guido J. H., Bjorkman, Anders, Brown, Joelle M., D’Alessandro, Umberto, Dicko, Alassane A., El-Sayed, Badria, Elzaki, Salah-Eldin, Eziefula, Alice C., Gonçalves, Bronner P., Hamid, Muzamil Mahdi Abdel, Kaneko, Akira, Kariuki, Simon, Khan, Wasif, Kwambai, Titus K., Ley, Benedikt, Ngasala, Billy E., Nosten, Francois, Okebe, Joseph, Samuels, Aaron M., Smit, Menno R., Stone, Will J. R., Sutanto, Inge, Ter Kuile, Feiko, Tine, Roger C., Tiono, Alfred B., Drakeley, Chris J., Gosling, Roly, Stergachis, Andy, Barnes, Karen I., and Chen, Ingrid
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- 2022
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