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1. Text Messaging and Web-Based Survey System to Recruit Patients With Low Back Pain and Collect Outcomes in the Emergency Department: Observational Study

Author

Amorim, Anita Barros, Coombs, Danielle, Richards, Bethan, Maher, Chris G, and Machado, Gustavo C

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundLow back pain (LBP) is a frequent reason for emergency department (ED) presentations, with a global prevalence of 4.4%. Despite being common, the number of clinical trials investigating LBP in the ED is low. Recruitment of patients in EDs can be challenging because of the fast-paced and demanding ED environment. ObjectiveThe aim of this study is to describe the recruitment and response rates using an SMS text messaging and web-based survey system supplemented by telephone calls to recruit patients with LBP and collect health outcomes in the ED. MethodsAn automated SMS text messaging system was integrated into Research Electronic Data Capture and used to collect patient-reported outcomes for an implementation trial in Sydney, Australia. We invited patients with nonserious LBP who presented to participating EDs at 1, 2, and 4 weeks after ED discharge. Patients who did not respond to the initial SMS text message invitation were sent a reminder SMS text message or contacted via telephone. The recruitment rate was measured as the proportion of patients who agreed to participate, and the response rate was measured as the proportion of participants completing the follow-up surveys at weeks 2 and 4. Regression analyses were used to explore factors associated with response rates. ResultsIn total, 807 patients with nonserious LBP were invited to participate and 425 (53.0%) agreed to participate. The week 1 survey was completed by 51.5% (416/807) of participants. At week 2, the response rate was 86.5% (360/416), and at week 4, it was 84.4% (351/416). Overall, 60% of the surveys were completed via SMS text messaging and on the web and 40% were completed via telephone. Younger participants and those from less socioeconomically disadvantaged areas were more likely to respond to the survey via the SMS text messaging and web-based system. ConclusionsUsing an SMS text messaging and web-based survey system supplemented by telephone calls is a viable method for recruiting patients with LBP and collecting health outcomes in the ED. This hybrid system could potentially reduce the costs of using traditional recruitment and data collection methods (eg, face-to-face, telephone calls only). International Registered Report Identifier (IRRID)RR2-10.1136/bmjopen-2017-019052

Published
2021
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5. Psychological well-being in Europe after the outbreak of war in Ukraine

Author

Scharbert, Julian, Humberg, Sarah, Kroencke, Lara, Reiter, Thomas, Sakel, Sophia, ter Horst, Julian, Utesch, Katharina, Gosling, Samuel D., Harari, Gabriella, Matz, Sandra C., Schoedel, Ramona, Stachl, Clemens, Aguilar, Natalia M. A., Amante, Dayana, Aquino, Sibele D., Bastias, Franco, Bornamanesh, Alireza, Bracegirdle, Chloe, Campos, Luís A. M., Chauvin, Bruno, Coetzee, Nicoleen, Dorfman, Anna, dos Santos, Monika, El-Haddad, Rita W., Fajkowska, Malgorzata, Göncü-Köse, Asli, Gnisci, Augusto, Hadjisolomou, Stavros, Hale, III, William W., Katzir, Maayan, Khechuashvili, Lili, Kirchner-Häusler, Alexander, Kotzur, Patrick F., Kritzler, Sarah, Lu, Jackson G., Machado, Gustavo D. S., Martskvishvili, Khatuna, Mottola, Francesca, Obschonka, Martin, Paolini, Stefania, Perugini, Marco, Rohmer, Odile, Saeedian, Yasser, Sergi, Ida, Shani, Maor, Skimina, Ewa, Smillie, Luke D., Talaifar, Sanaz, Talhelm, Thomas, Tokat, Tülüce, Torres, Ana, Torres, Claudio V., Van Assche, Jasper, Wei, Liuqing, Yalçın, Aslı, van Zalk, Maarten, Bühner, Markus, and Back, Mitja D.

Published
2024
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8. Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the southeastern United States

Author

Sanchez, Felipe, Galvis, Jason A., Cardenas, Nicolas, Corzo, Cesar A., Jones, Chris, and Machado, Gustavo

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) remains widely distributed across the U.S. swine industry. Between-farm movement of animals and transportation vehicles, along with local transmission are the primary routes by which PRRSV is spread. Given the farm-to-farm proximity in high pig production areas, local transmission is an important pathway in the spread of PRRSV; however, there is limited understanding of the role local transmission plays in the dissemination of PRRSV, specifically, the distance at which there is increased risk for transmission from infected to susceptible farms. We used a spatial and spatiotemporal kernel density approach to estimate PRRSV relative risk and utilized a Bayesian spatiotemporal hierarchical model to assess the effects of environmental variables, between-farm movement data, and on-farm biosecurity features on PRRSV outbreaks. The maximum spatial distance calculated through the kernel density approach was 15.3 km in 2018, 17.6 km in 2019, and 18 km in 2020. Spatiotemporal analysis revealed greater variability throughout the study period, with significant differences between the different farm types. Sow farms were consistently categorized as high risk farm types, while downstream farms (i.e., finisher and nursery farms) had more susceptible farms within areas of significant-high relative risk. Factors associated with PRRSV outbreaks were farms with higher number of access points to barns, higher numbers of outgoing movements of pigs, and higher number of days where temperatures were between 4{\deg}C and 10{\deg}C. Results obtained from this study may be used to guide the reinforcement of biosecurity and surveillance strategies at farms and areas within the distance threshold of PRRSV positive farms.

Published
2023

9. The role of vehicle movement in swine disease dissemination: novel method accounting for pathogen stability and vehicle cleaning effectiveness uncertainties

Author

Galvis, Jason A. and Machado, Gustavo

Subjects
Quantitative Biology - Populations and Evolution
Abstract

The transmission dynamics of infectious diseases in animal production are driven by several propagation routes. Contaminated vehicles traveling between farms have been associated with indirect disease transmission. In this study, we used transportation vehicle data to analyze the magnitude of farm visits by different vehicles and to propose a methodology to reconstruct vehicle contact networks considering pathogen stability and cleaning and disinfection effectiveness. Here, we collected information from 6,363 farms and Global Positioning System (GPS) records from 567 vehicles used to transport feed, animals, and people. We reconstructed vehicle contacts among the farms, conserving pathogen stability decay and different probabilities of cleaning and disinfection. Results showed that vehicle movement networks were densely connected, with up to 86% of farms connected by these movements. Movements of vehicle transporting feed and pig among farms showed the highest network connectivity. The cleaning effectiveness of was variable among the different vehicle types and highly influenced by the frequency of vehicles stopping at clean stations. A large number of between-farm contacts with a pathogen stability >0.8 were present in the vehicle network even with 100% cleaning effectiveness. Finally, we identified that vehicles contacted farms from different companies. Thus, our results suggest the vehicle network is a potential mechanism for spreading pathogens among farms. Moreover, even with scenarios with high effectiveness of cleaning and disinfection, the risk of vehicles spreading diseases was not completely eliminated.

Published
2022

10. Recurrence of Congenital Dermoid Cyst of Paramedian Location

Author

Utumi, Estevam Rubens, Zambon, Camila Eduarda, Pedron, Irineu Gregnanin, Machado, Gustavo Grothe, and Rocha, André Caroli

Subjects
Dermoid cyst, Mouth floor, Recurrence, Medicine, Otorhinolaryngology, RF1-547
Abstract

Introduction: The dermoid cyst is a cyst of unusual development in the face and more often involves the mouth floor. Most injuries occur in young adults with a slight predilection for males. Lesions in neonatal and children are extremely rare. It manifests as swelling floating asymptomatic and slow-growing and progressive, reaching dimensions. His capsule may contain one or more skin appendages such as sebaceous glands, hair or nails. The treatment is surgical, by enucleation, and its recurrence uncommon. The clinical appearance, histopathology, differential diagnosis and treatment of a case of congenital dermoid cyst, and its recurrence, are discussed by the authors.

Published
2010

14. Modeling between-farm transmission dynamics of porcine epidemic diarrhea virus: characterizing the dominant transmission routes

Author

Galvis, Jason A., Corzo, Cesar A., Prada, Joaquin M., and Machado, Gustavo

Subjects
Quantitative Biology - Populations and Evolution
Abstract

The role of transportation vehicles, pig movement between farms, proximity to infected premises, and feed deliveries has not been fully considered in the dissemination dynamics of porcine epidemic diarrhea virus (PEDV). This has limited efforts for disease control and elimination restricting the development of risk-based resource allocation to the most relevant modes of PEDV dissemination. Here, we modeled nine modes of between-farm transmission pathways including farm-to-farm proximity (local transmission), contact network of pig farm movements between sites, four different contact networks of transportation vehicles (vehicles that transport pigs from farm-to-farm, pigs to markets, feed distribution and crew), the volume of animal by-products within feed diets (e.g. animal fat and meat and bone meal) to reproduce PEDV transmission dynamics. The model was calibrated in space and time with weekly PEDV outbreaks. We investigated the model performance to identify outbreak locations and the contribution of each route in the dissemination of PEDV. The model estimated that 42.7% of the infections in sow farms were related to vehicles transporting feed, 34.5% of infected nurseries were associated with vehicles transporting pigs to farms, and for both farm types, pig movements or local transmission were the next most relevant routes. On the other hand, finishers were most often (31.4%) infected via local transmission, followed by the vehicles transporting feed and pigs to farm networks. Feed ingredients did not significantly improve model calibration metrics. The proposed modeling framework provides an evaluation of PEDV transmission dynamics, ranking the most important routes of PEDV dissemination and granting the swine industry valuable information to focus efforts and resources on the most important transmission routes.

Published
2022

16. Modelling African swine fever virus spread in pigs using time-respective network data: scientific support for decision-makers

Author

Andraud, Mathieu, Hammami, Pachka, Hayes, Brandon H., Galvis, Jason A., Vergne, Timothée, Machado, Gustavo, and Rose, Nicolas

Subjects
Quantitative Biology - Populations and Evolution
Abstract

African Swine Fever (ASF) represents the main threat to swine production, with heavy economic consequences for both farmers and the food industry. The spread of the virus that causes ASF through Europe raises the issues of identifying transmission routes and assessing their relative contributions in order to provide insights to stakeholders for adapted surveillance and control measures. A simulation model was developed to assess ASF spread over the commercial swine network in France. The model was designed from raw movement data and actual farm characteristics. A metapopulation approach was used, with transmission processes at the herd level potentially leading, through a reaction-diffusion process, to external spread to epidemiologically connected herds. Three transmission routes were considered: local transmission (e.g. fomites, material exchange), movement of animals from infected to susceptible sites, and transit of trucks without physical animal exchange. Surveillance was based on prevalence and mortality detection thresholds, which triggered control measures based on movement ban for detected herds and epidemiologically related herds. The time from infection to detection varied between 8 and 21 days, depending on the detection criteria, but was also dependent on the types of herds in which the infection was introduced. Movement restrictions effectively reduced the transmission between herds, but local transmission was nevertheless observed in higher proportions highlighting the need of global awareness of all actors of the swine industry to mitigate the risk of local spread. Raw movement data were directly used to build a dynamic network on a realistic time-scale. This approach allows for a rapid update of input data without any pre-treatment, which could be important in terms of reactivity, should an introduction occur., Comment: 26 pages; 7 figures

Published
2021

19. Multiple species animal movements: network properties, disease dynamic and the impact of targeted control actions

Author

Cardenas, Nicolas C., Sykes, Abagael L., Lopes, Francisco P. N., and Machado, Gustavo

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Infectious diseases in livestock are well-known to infect multiple hosts and persist through the combination of within- and between-host transmission pathways. Uncertainty remains about the epidemic consequences of the disease being introduced on farms with more than one susceptible host. Here we describe multi-host contact networks to elucidate the potential of disease spread among farms with multiple species. Four years of between-farm animal movement data of bovine, swine, small ruminants, and multi-host, were described through both static and time-series networks; the in-going and out-going contact chains were also calculated. We use the proposed stochastic multilevel model to simulate scenarios in which infection was seeded into a single host and multi-hosts farms, to estimate epidemic trajectories and simulate network-based control actions to assess the reduction of secondarily infected farms. Our analysis showed that the swine network was more connected than cattle and small ruminants in the temporal network view. The small ruminants network was shown disconnected, however, allowing the interaction among networks with different hosts enabling the spread of disease throughout the network. Independently from the initial infected host, secondary infections were observed crossing overall species. We showed that targeting the top 3.25% of the farms ranked by degree could reduce the total number of infected farms below 70% at the end of the simulation period. In conclusion, we demonstrated the potential of the multi-host network in disease propagation, therefore, it becomes important to consider the observed multi-host movement dynamics while designing surveillance and preparedness control strategies.

Published
2021

20. Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus

Author

Sykes, Abagael L., Silva, Gustavo S., Holtkamp, Derald J., Mauch, Broc W., Osemeke, Onyekachukwu, Linhares, Daniel C. L., and Machado, Gustavo

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Effective biosecurity practices in swine production are key in preventing the introduction and dissemination of infectious pathogens. Ideally, biosecurity practices should be chosen by their impact on bio-containment and bio-exclusion, however quantitative supporting evidence is often unavailable. Therefore, the development of methodologies capable of quantifying and ranking biosecurity practices according to their efficacy in reducing risk have the potential to facilitate better informed choices. Using survey data on biosecurity practices, farm demographics, and previous outbreaks from 139 herds, a set of machine learning algorithms were trained to classify farms by porcine reproductive and respiratory syndrome virus status, depending on their biosecurity practices, to produce a predicted outbreak risk. A novel interpretable machine learning toolkit, MrIML-biosecurity, was developed to benchmark farms and production systems by predicted risk, and quantify the impact of biosecurity practices on disease risk at individual farms. Quantifying the variable impact on predicted risk 50% of 42 variables were associated with fomite spread while 31% were associated with local transmission. Results from machine learning interpretations identified similar results, finding substantial contribution to predicted outbreak risk from biosecurity practices relating to: the turnover and number of employees; the surrounding density of swine premises and pigs; the sharing of trailers; distance from the public road; and production type. In addition, the development of individualized biosecurity assessments provides the opportunity to guide biosecurity implementation on a case-by-case basis. Finally, the flexibility of the MrIML-biosecurity toolkit gives it potential to be applied to wider areas of biosecurity benchmarking, to address weaknesses in other livestock systems and industry relevant diseases.

Published
2021
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26. DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business Intelligence

Author

Machado, Gustavo V., Cunha, Ítalo, Pereira, Adriano C. M., and Oliveira, Leonardo B.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Databases
Abstract

The competitive dynamics of the globalized market demand information on the internal and external reality of corporations. Information is a precious asset and is responsible for establishing key advantages to enable companies to maintain their leadership. However, reliable, rich information is no longer the only goal. The time frame to extract information from data determines its usefulness. This work proposes DOD-ETL, a tool that addresses, in an innovative manner, the main bottleneck in Business Intelligence solutions, the Extract Transform Load process (ETL), providing it in near real-time. DODETL achieves this by combining an on-demand data stream pipeline with a distributed, parallel and technology-independent architecture with in-memory caching and efficient data partitioning. We compared DOD-ETL with other Stream Processing frameworks used to perform near real-time ETL and found DOD-ETL executes workloads up to 10 times faster. We have deployed it in a large steelworks as a replacement for its previous ETL solution, enabling near real-time reports previously unavailable.

Published
2019

29. Dysarthria in hereditary spastic paraplegia type 4

Author

Jacinto-Scudeiro, Lais Alves, Rothe-Neves, Rui, dos Santos, Vanessa Brzoskowski, Machado, Gustavo Dariva, Burguêz, Daniela, Padovani, Marina Martins Pereira, Ayres, Annelise, Rech, Rafaela Soares, González-Salazar, Carelis, Junior, Marcondes Cavalcante França, Saute, Jonas Alex Morales, and Olchik, Maira Rozenfeld

Published
2023
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34. Manual de condutas neurológicas na urgência

Author

Jurno, Mauro Eduardo, primary, Oliveira, Tarcísio Araújo de, additional, Gomes, Ana Clara Ávila, additional, Tollendal, Andre Brasil, additional, Silva, Fernanda Rezende, additional, Araujo, Filipe Miranda Milagres, additional, Rabello, Francisco de Assis Pinto Cabral Junior, additional, Machado, Gustavo Alves, additional, Oliveira, Gabriel José Bernini de Paiva, additional, Guimarães, Karolline Souza, additional, Braga, Isabela Pinto, additional, Guimarães, Jéssica, additional, Pereira, Júlia Kássia, additional, Dias, Laura Costa, additional, Guilherme, Letícia Siqueira, additional, Oliveira, Lígia Barros de, additional, Souza, Maria Alice Gonçalves, additional, Barros, Maria Clara Lopes de, additional, Luz, Matheus Santana, additional, Araújo, Natália Jéssica Mendes, additional, Reis, Pedro Henrique Souza, additional, Oliveira, Rafael Affonso de Rezende, additional, Gusmão, Rafael Brum, additional, Vasconcelos, Renato Souto de, additional, and Bellard, Tulio Marcus Ribeiro, additional

Published
2022
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38. Primary care seeking among adults with chronic neck and low back pain in Norway: A prospective study from the HUNT study linked to Norwegian primary healthcare registry.

Author

Chen, Qiuzhe, Berg, Bjørnar, Grotle, Margreth, Maher, Chris G., Storheim, Kjersti, and Machado, Gustavo C.

Abstract

Background: To describe the frequency of primary care seeking for neck or back‐related conditions among people with chronic neck and low back pain and to develop prediction models of primary care seeking and frequent visits. Methods: We included participants of the Trøndelag Health Study (HUNT4, 2017–19) in Norway who self‐reported chronic neck and/or low back pain in the preceding year, and extracted data of primary care visits from the Norwegian primary healthcare registry. We investigated a total of 23 potential predictors and used multivariable logistic regression models to predict primary care seeking for neck or back‐related conditions and frequent visits by healthcare provider (i.e., the highest quartile of number of visits). Results: Among the 15,352 HUNT4 participants with chronic neck and/or low back pain, 6231 participants (40.6%) sought primary care for neck or back‐related conditions (median = 5 visits, IQR 2–15) within 2 years after the study. Participants who consulted physical therapists sought care the most frequently (median = 10 visits, IQR 3–26). Discrimination of the best‐fit prediction model of primary care seeking and frequent visits by healthcare provider, assessed by C‐statistic, ranged from 0.66–0.76. Participants who made frequent primary care visits in the preceding year were highly likely to continue frequent care seeking in the following 2 years. Conclusions: Around 40% of people seek primary care for chronic neck and low back pain, and frequent care seeking may continue for years. Future studies should investigate strategies to reduce recurrent primary care visits, especially seeking physical therapist care, and promote self‐management of chronic pain. Significance: People with chronic neck and low back pain who seek physical therapist care had the highest frequency of care seeking, underscoring the significant burden on healthcare systems. The high frequency of visits and associated healthcare expenditures highlight the critical need for effective and valuable primary care for chronic pain management. To mitigate recurrent visits and reduce costs, it is essential to provide patients with evidence‐based treatments and self‐management interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Prevalence of Cardiotoxicity Secondary to Trastuzumab in Patients with HER-2-Positive Breast Cancer in Southeast Mexico.

Author

Pascual-Mathey, Luz I., Velez-Figueroa, Midory I., Díaz-Vallejo, Joel J., Mendez-Hirata, Gustavo, and Mendez-Machado, Gustavo F.

Subjects
HER2 positive breast cancer, CANCER patients, MEXICANS, OUTPATIENT medical care, DRUG administration
Abstract

In Mexico, breast cancer (BC) is the principal cause of death in women over 30 years old, with an annual mortality rate of 14.61 deaths per a 100,000 population. Chemotherapy, in combination with trastuzumab (TTZ), improves the survival of cancer patients; however, cardiotoxicity (CT) is the principal consequence. CT prevalence occurs between 10% and 30% of patients; however, there are no data about the prevalence of CT in the Mexican population. This study aims to establish the prevalence of CT in patients treated with anti-HER-2 therapy among BC women in southeast Mexico. A retrospective cross-sectional study was carried out from January 2015 to July 2019. The records of 46 patients diagnosed with HER-2-positive BC who attended the Mexican Social Security Institute in the Ambulatory Care Medicine Unit were analyzed. The diagnostic criterion for CT was a decrease in LVEF > 10% from baseline or a final LVEF < 53%. CT prevalence was observed in 19 (41.3%) of women with cancer, with an average decrease in LVEF of 13%. In the population, we found an association between weight, surface area, and the loading dose of TTZ with CT. Nutritional follow-up and the administration of cardioprotective drugs are necessary to recover LVEF and avoid cardiovascular failure in women with BC and survivors. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Outcomes with Finerenone in Participants with Stage 4 CKD and Type 2 Diabetes: A FIDELITY Subgroup Analysis

Author

Sarafidis, Pantelis, Agarwal, Rajiv, Pitt, Bertram, Wanner, Christoph, Filippatos, Gerasimos, Boletis, John, Tuttle, Katherine R., Ruilope, Luis M., Rossing, Peter, Toto, Robert, Anker, Stefan D., Liu, Zhi-Hong, Joseph, Amer, Ahlers, Christiane, Brinker, Meike, Lawatscheck, Robert, Bakris, George, Aizenberg, Diego, Bartolacci, Inés, Besada, Diego, Bittar, Julio, Chahin, Mariano, Elbert, Alicia, Gelersztein, Elizabeth, Liberman, Alberto, Maffei, Laura, Manghi, Federico Pérez, Sanabria, Hugo, Vallejos, Augusto, Viñes, Gloria, Wassermann, Alfredo, Abhayaratna, Walter, Acharya, Shamasunder, Ekinci, Elif, Lee, Darren, MacIsaac, Richard, Mah, Peak Mann, Nelson, Craig, Packham, David, Pape, Alexia, Roger, Simon, Stephenson, Hugo, Suranyi, Michael, Wittert, Gary, Vale, Elizabeth, Colman, Peter, Colquhoun, David, Ellis, Chris, Joshua, Kim, Pedagogos, Eugenia, Regal, Paul, Topliss, Duncan, Vandeleur, James, Verjans, Johan, Wittert, Gary, Wynne, Katie-Jane, Clodi, Martin, Ebenbichler, Christoph, Fliesser-Görzer, Evelyn, Hanusch, Ursula, Krebs, Michael, Lhotta, Karl, Ludvik, Bernhard, Mayer, Gert, Neudorfer, Peter, Paulweber, Bernhard, Prager, Rudolf, Preiß, Wolfgang, Prischl, Friedrich, Schernthaner, Gerit-Holger, Sourij, Harald, Wiesholzer, Martin, Drexel, Heinz, Oberbauer, Rainer, Schönherr, Hans-Robert, Doubel, Peter, Engelen, Wendy, Gillard, Pieter, Hougardy, Jean-Michel, Krzesinski, Jean-Marie, Maes, Bart, Speeckaert, Marijn, Stas, Koen, van Gaal, Luc, Vanbelleghem, Hilde, Duyck, Francis, Scheen, André, Antunes, Daniela, Botelho, Roberto, Brito, Claudia, Canani, Luis, Canziani, Maria Eugenia, Cerqueira, Maria, de Paula, Rogerio, Eliaschewitz, Freddy, Figueiredo, Carlos Eduardo, Forti, Adriana, Hissa, Miguel, Leite, Emerson Lima Maurilo, Jr, Noronha, Irene, Paolino, Bruno, Paschoalin, Nathalia, Paschoalin, Raphael, Filho, Roberto Pecoits, Pereira, Marcio, Portes, Evandro, Precoma, Dalton, Rea, Rosangela, Riella, Miguel, Salles, Joao Eduardo, Vasconcellos, Eduardo, Vencio, Sergio, Bacci, Marcelo, Maia, Lilia, Villacorta, Aline, Apostolova, Emiliya, Boshnyashka, Radostina, Farah, Ghassan, Georgiev, Dimitar, Gushterova, Valentina, Klyuchkova, Neli, Lucheva, Mariya, Manova, Petya, Minkova, Dotska, Nonchev, Boyan, Pichmanova, Mariyana, Prakova, Zhulieta, Rangelov, Rangel, Rashkov, Rosen, Stanchev, Pavel, Stoyanovska-Elencheva, Bilyana, Tagarev, Zhivko, Temelkova-Kurktschieva, Theodora, Vasileva, Svetla, Yoncheva-Mihaylova, Mariana, Marinchev, Angel, Miteva, Mariya, Barre, Paul, Carlson, Brian, Conway, James, Cournoyer, Serge, Dumas, Richard, Fikry, Sameh, Goluch, Richard, Hamet, Pavel, Hart, Randolph, Henein, Sam, Liutkus, Joanne, Madore, Francois, Martinho, Valdemar, Mazza, Giuseppe, McFarlane, Philip, Keefe, Dennis O′, Peterson, Sean, Schwartz, Daniel, Shu, Daniel, Steele, Andrew, Tellier, Guy, Tennankore, Karthik, Tobe, Sheldon, Tsoukas, George, Tytus, Richard, Vitou, Louise, Walsh, Michael, Weisnagel, Stanley, Wilderman, Igor, Yale, Jean-Francois, El Boreky, Fadia, Kelly, Alan, Leiter, Lawrence, Teitelbaum, Ivor, Cobos, Jorge, Godoy, Juan, González, Fernando, Lobos, Sergio, Palma, Juan Carlos, Prieto Dominguez, Juan Carlos, Reyes, Eliana, Romero, Carmen, Saavedra, Victor, Vega, Mario, Medina, Marcelo, Varleta, Paola, Bu, Ruifang, Cai, Hanqing, Chen, Nan, Chen, Qinkai, Chen, Dejun, Cheng, Jinluo, Dong, Youping, Dong, Junwu, Guan, Tianjun, Hao, Chuanming, Huang, Wen, Jiang, Fangfang, Lei, Minxiang, Li, Ling, Li, Zhonghe, Li, Xuemei, Li, Jingmei, Li, Yan, Liang, Xinling, Liang, Bo, Liu, Fang, Liu, Yinghong, Liu, Yuantao, Liu, Zhihong, Long, Gang, Lu, Guoyuan, Lu, Weiping, Lu, Yibing, Luo, Ping, Ma, Jianhua, Mo, Zhaohui, Niu, Jianying, Peng, Ai, Shen, Jiansong, Shen, Feixia, Shi, Bingyin, Su, Qing, Sun, Zhuxing, Tang, Shuifu, Tong, Nanwei, Wang, Hao, Wang, Xinjun, Wang, Guixia, Wang, Jianqin, Wang, Yangang, Wang, Li, Wei, Jiali, Wu, Tianfeng, Wu, Chaoqing, Xing, Changying, Xiong, Fei, Xu, Xudong, Xu, Ning, Yan, Tiekun, Yang, Jinkui, Yin, Aiping, Zeng, Longyi, Zhang, Hao, Zhang, Yanlin, Zhang, Ying, Zhao, Wenjing, Zhao, Zhiquan, Zheng, Hongguang, Zhong, Ling, Zhu, Dalong, Zhuang, Yongze, Du, Yuming, Fang, Yi, Guo, Weiying, Jiang, Sheng, Kuang, Jian, Li, Dongmei, Li, Hongmei, Li, Yinan, Li, Yuxiu, Liu, Jian, Liu, Yu, Miao, Heng, Peng, Wen, Wang, Lihua, Xu, Mingtong, Zhong, Liyong, Zhu, Jun, Arango, Clara, Barrera, Sandra, López, Nelly Beltrán, Benitez, Diego, Blanco, Guillermo, Cadena, Andrés, Coronel, Julian, Cure, Carlos, Durán, Carlos, González, Alexander, Guzmán, Gustavo, Hernández, Eric, Ibarra, Jaime, Jaramillo, Carlos, Jaramillo, Nicolás, Kattah, William, Molina, Dora, Sánchez, Gregorio, Terront, Mónica, Trujillo, Freddy, Urina, Miguel, Vargas, Ruben, Villegas, Iván, Yupanqui, Hernán, Arcos, Edgar, Aroca, Gustavo, Barreto, Germán, Bermudez, Andres, Botero, Rodrigo, Cárdenas, Tatiana, Figueroa, Wilmer, Jaramillo, Mónica, Liévano, Manuel, López, Mónica, Molina, Dora, Rosero, Ricardo, Trillos, Pedro, Dino Alferi, Brada, Michal, Brezina, Jiri, Bucek, Petr, Edelsberger, Tomas, Gulakova, Drahomira, Zapletalova, Jitka Hasalova, Hola, Olga, Hornova, Lucie, Houdova, Jana, Hrmova, Helena, Karasek, David, Kopecka, Sarka, Kovar, Richard, Krcova, Eva, Kuchar, Jiri, Kutejova, Vlasta, Lubanda, Hana, Matyasek, Ivo, Mokrejsova, Magdalena, Okenka, Libor, Prazny, Martin, Pumprla, Jiri, Tomanek, Pavel, Andersen, Ulla, Andries, Alin, Bech, Jesper, Faber, Jens, Gislason, Gunnar, Hangaard, Jørgen, Pacyk, Grzegorz Jaroslaw, Juhl, Claus, Krarup, Thure, Lindhardt, Morten, Madsbad, Sten, Nielsen, Joan, Pedersen-Bjergaard, Ulrik, Poulsen, Per, Rasmussen, Ole, Rossing, Peter, Schousboe, Karoline, Gram, Jeppe, Lauridsen, Thomas, Pedersen, Erling, Thorsteinsson, Birger, Flöjt, Päivi, Honkasalo, Mikko, Honkasalo, Mikko, Humaloja, Kari, Kananen, Kristiina, Kantola, Ilkka, Koistinen, Arvo, Korsoff, Pirkko, Lahtela, Jorma, Nieminen, Sakari, Nieminen, Tuomo, Sadeharju, Karita, Strand, Jorma, Sulosaari, Sakari, Cariou, Bertrand, Chantrel, François, Clavel, Sylvaine, Combe, Christian, Fauvel, Jean-Pierre, Gallouj, Karim, Gouet, Didier, Guerci, Bruno, Guerrot, Dominique, Hourmant, Maryvonne, Klein, Alexandre, Mariat, Christophe, Marre, Michel, Mesbah, Rafik, Le Meur, Yannick, Monier, Arnaud, Moranne, Olivier, Roussel, Ronan, Serusclat, Pierre, Vendrely, Benoit, Verges, Bruno, Zaoui, Philippe, Axthelm, Christoph, Bergmann, Andreas, Birkenfeld, Andreas L., Braun, Hermann, Busch, Klaus, Contzen, Christel, Degenhardt, Stefan, Derwahl, Karl, Giebel, Thomas, Hagenow, Andreas, Haller, Hermann, Hasslacher, Christoph, Horacek, Thomas, Jungmair, Wolfgang, Kloos, Christof, Koch, Thorsten, Krüger, Thilo, Mühlfeld, Anja, Müller, Joachim, Pfützner, Andreas, Pistrosch, Frank, Rinke, Andrea, Rose, Ludger, Rump, Lars, Schettler, Volker, Schiefke, Ingolf, Schlichthaar, Heike, Schröppel, Bernd, Schöll, Norbert, Schubert, Kristin, Schürholz, Thomas, Sigal, Helena, Stemler, Lutz, Strack, Georg, Täschner, Heidrun, Toursarkissian, Nicole, Tschöpe, Diethelm, Ulmer, Achim, van der Giet, Markus, Wanner, Christoph, Winkelmann, Bernhard R., Boletis, Ioannis, Dimitriadis, George, Hatziagelaki, Erifili, Iatrou, Christos, Ioannidis, Ioannis, Kounadi, Theodora, Makriniotou, Ioanna, Papadopoulou, Dorothea, Papagianni, Aikaterini, Passadakis, Ploumis, Piaditis, George, Stefanidis, Ioannis, Tai Pang Ip, Lee, Paul, Andrea Luk, On Yan, Ma, Ronald, Chow, Wing Sun, Wang, Angela, Yeung, Vincent, Bajcsi, Dora, Danos, Peter, Harcsa, Eleonora, Kalina, Akos, Kazup, Szilvia, Keltai, Katalin, Kirschner, Robert, Kiss, Julianna, Kovacs, Laszlo, Lamboy, Beata, Literati-Nagy, Botond, Mileder, Margit, Nagy, Laszlo, Noori, Ebrahim, Nyirati, Gabor, Petro, Gizella, Schneider, Karoly, Simon, Judit, Szocs, Albert, Vasas, Szilard, Wudi, Krisztina, Zilahi, Zsolt, Zsom, Marianna, Eustace, Joe, Holian, John, Reddan, Donal, Meara, Yvonne O′, Abramof Ness, Rosane, Adawi, Faiad, Armaly, Zaher, Atar, Shaul, Bashkin, Amir, Ben Chetrit, 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Viviani, Giorgio Luciano, Araki, Hideo, Bando, Yukihiro, Ebisui, Osamu, Fujita, Naruhiro, Fukasawa, Hirotaka, Furuya, Ryuichi, Hamamoto, Yoshiyuki, Hamasaki, Akihiro, Hasegawa, Kotaro, Hatazaki, Masahiro, Hayashi, Terumasa, Higashi, Takayuki, Hirohata, Yoshihide, Horinouchi, Shuji, Hoshi, Ayumu, Imoto, Hirofumi, Inagaki, Akemi, Inagaki, Masayuki, Inaguma, Daijo, Inoue, Toshihiko, Ishii, Masao, Ishiko, Tamayo, Isono, Motohide, Jinnouchi, Hideaki, Kanai, Hidetoshi, Kanda, Daisuke, Kanehara, Hideo, Kashima, Masayuki, Kataoka, Yuko, Katayama, Shigehiro, Kato, Kiyoe, Katsuki, Takeshi, Kawamitsu, Katsunori, Kawasaki, Satsuki, Kikuchi, Fumi, Kikuchi, Hidetoshi, Kishimoto, Rui, Kobayashi, Kunihisa, Koide, Junko, Komi, Rieko, Kubota, Miyuki, Kuriya, Genpei, Kurose, Takeshi, Kusano, Yoshiro, Hajime, Maeda, Matsubayashi, Sunao, Matsumoto, Kazunari, Matsumura, Naoya, Matsuo, Yasuto, Matsuoka, Naoki, Miyaoka, Hiroaki, Miyata, Satoshi, Morita, Takeshi, Murakami, Isao, Murao, Satoshi, Nakamura, Udai, 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Frank, Malin, Guron, Gregor, Hellberg, Olof, Hellgren, Margareta, Larnefeldt, Hans, Lindholm, Carl-Johan, Löndahl, Magnus, Rein-Hedin, Erik, Soveri, Inga, Spaak, Jonas, Tengmark, Bengt-Olov, Lif-Tiberg, Cornelia, Månflod, Johan, Nguyen, Han, Ackermann, Daniel, Bilz, Stefan, Burnier, Michel, Forster, Christian, Kalbermatter, Stefan, Kistler, Andreas, Pechère-Bertschi, Antoinette, Schultes, Bernd, Laimer, Markus, Rudofsky, Gottfried, Strey, Christopher, Wuerzner, Gregoire, Chiz-Tzung Chang, Hung, Cheng-Chieh, Jiang, Ju-Ying, Lee, Chien-Te, Lin, Shuei-Liong, Tarng, Der-Cherng, Tu, Shih-Te, Wu, Mai-Szu, Wu, Ming-Ju, Chuang, Lee-Ming, Deerochanawong, Chaicharn, Kitiyakara, Chagriya, Ophascharoensuk, Vuddhidej, Pongchaiyakul, Chatlert, Satirapoj, Bancha, Kosachunhanan, Natapong, Sritara, Piyamitr, Eren, Necmi, Gul, Ibrahim, Gulel, Okan, Kocyigit, Ismail, Kumbasar, Abdulbaki, Sahin, Idris, Sari, Ramazan, Sayin, Burak, Tavli, Talat, Ustundag, Sedat, Yenicerioglu, Yavuz, Badak, Ozer, Cayli, 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2023
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45. Guía mexicana de práctica clínica para el diagnóstico y el tratamiento de la insuficiencia cardiaca

Author

Pavía-López, Abel A., primary, Magaña-Serrano, José A., additional, Cigarroa-López, José A., additional, Chávez-Mendoza, Adolfo, additional, Mayorga-Butrón, José L., additional, Araiza-Garaygordobil, Diego, additional, Ivey-Miranda, Juan B., additional, Méndez-Machado, Gustavo F., additional, González-Godínez, Héctor, additional, Aguilera-Mora, Luisa F., additional, Jordán-Ríos, Antonio, additional, Olmos-Domínguez, Luis, additional, Olalde-Román, Marcos J., additional, Miranda-Malpica, Emma M., additional, Vásquez-Ortiz, Zuilma, additional, Rayo-Chávez, Jorge, additional, Mendoza, Alexandra A,, additional, Márquez-Murillo, Manlio F., additional, Chávez-Leal, Sergio A., additional, Álvarez-San Gabriel, Amada, additional, Silva-García, Marissa A., additional, Pacheco-Bouthiller, Alex D., additional, Aldrete-Velazco, Jorge A., additional, Guizar-Sánchez, Carlos A., additional, Gaxiola-López, Efraín, additional, Guerra-López, Arturo, additional, Figueiras-Graillet, Lourdes, additional, Sánchez-Miranda, Gustavo, additional, Mendoza-Zavala, Genaro H., additional, Aceves-García, Moisés, additional, Chávez-Negrete, Adolfo, additional, Arroyo-Hernández, Marisol, additional, Montaño-Velázquez, Bertha B., additional, Romero-Moreno, Luis F., additional, Baquero-Hoyos, María M., additional, Velasco-Hidalgo, Liliana, additional, Rodríguez-Lozano, Ana L., additional, Aguilar-Gómez, Nancy E., additional, Rodríguez-Vega, Mario, additional, and Cossío-Aranda, Jorge E., additional

Published
2024
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48. Reinforcing informed medication prescription for low back pain in the emergency department (RIME): a controlled interrupted time series implementation study protocol

Author

O'Leary, Shaun, primary, Heine, Janelle, additional, Warren, Jacelle, additional, Smyth, Tanya, additional, Ballard, Emma, additional, Mitchell, Gary, additional, See, William, additional, Barlas, Panos, additional, Machado, Gustavo C, additional, Cottrell, Michelle, additional, Comans, Tracy, additional, and Foster, Nadine E, additional

Published
2024
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50. SANGRAMENTO UTERINO ANORMAL

Author

LEMES, GABRIELLA PEREIRA, primary, COSTA, BÁRBARA RODRIGUES, additional, RODRIGUES, IGOR SILVA, additional, and MACHADO, GUSTAVO ALVES, additional

Published
2022
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