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A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials.
Zhang, Yuqing; Alyass, Akram; Vanniyasingam, Thuva; Sadeghirad, Behnam; Flórez, Iván D; Pichika, Sathish Chandra; Kennedy, Sean Alexander; Abdulkarimova, Ulviya; Zhang, Yuan; Iljon, Tzvia; Morgano, Gian Paolo; Colunga Lozano, Luis E; Aloweni, Fazila Abu Bakar; Lopes, Luciane C; Yepes-Nuñez, Juan José; Fei, Yutong; Wang, Li; Kahale, Lara A; Meyre, David; Akl, Elie A; Thabane, Lehana; Guyatt, Gordon H.
Afiliación
  • Zhang Y; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Guang'anmen Hospital China Academy of Chinese Medical Science, Xicheng District, Beijing, China.
  • Alyass A; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Vanniyasingam T; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Sadeghirad B; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Regional Knowledge Hub and WHO Collaborating Centre for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
  • Flórez ID; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Pediatrics, University of Antioquia, Medellín, Colombia.
  • Pichika SC; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Kennedy SA; Department of Diagnostic Radiology, University of Toronto, Toronto, Ontario, Canada.
  • Abdulkarimova U; Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
  • Zhang Y; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Iljon T; Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
  • Morgano GP; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Colunga Lozano LE; Department of Critical Care, Hospital Angeles del Carmen, Guadalajara, Jalisco, Mexico.
  • Aloweni FAB; Nursing Division, Singapore General Hospital, Singapore.
  • Lopes LC; Department of Pharmaceutical science, Universidade de Sorocaba, São Paulo, Brazil; Department of Pharmaceutical science, Universidade Estadual Paulista "Julio de Mesquita Filho", São Paulo, Brazil.
  • Yepes-Nuñez JJ; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Pediatrics, University of Antioquia, Medellín, Colombia.
  • Fei Y; Center for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Chaoyang Qu, China.
  • Wang L; Department of Anesthesiology, Michael G. DeGroote National Pain Centre, Hamilton, Ontario, Canada.
  • Kahale LA; Department of Internal Medicine, American University of Beirut, Riad El-Solh, Beirut, Lebanon.
  • Meyre D; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Akl EA; Clinical Epidemiology Unit and Center for Systematic Reviews in Health Policy and Systems Research (SPARK), American University of Beirut, Riad El-Solh, Beirut, Lebanon.
  • Thabane L; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Guyatt GH; Department of Medicine and Department of Health Research Methods, Evidence, and Impact, Hamilton, Ontario, Canada. Electronic address: guyatt@mcmaster.ca.
J Clin Epidemiol ; 88: 67-80, 2017 Aug.
Article en En | MEDLINE | ID: mdl-28579378
OBJECTIVE: To conduct (1) a systematic survey of the reporting quality of simulation studies dealing with how to handle missing participant data (MPD) in randomized control trials and (2) summarize the findings of these studies. STUDY DESIGN AND SETTING: We included simulation studies comparing statistical methods dealing with continuous MPD in randomized controlled trials addressing bias, precision, coverage, accuracy, power, type-I error, and overall ranking. For the reporting of simulation studies, we adapted previously developed criteria for reporting quality and applied them to eligible studies. RESULTS: Of 16,446 identified citations, the 60 eligible generally had important limitations in reporting, particularly in reporting simulation procedures. Of the 60 studies, 47 addressed ignorable and 32 addressed nonignorable data. For ignorable missing data, mixed model was most frequently the best on overall ranking (9 times best, 34.6% of times tested) and bias (10, 55.6%). Multiple imputation was also performed well. For nonignorable data, mixed model was most frequently the best on overall ranking (7, 46.7%) and bias (8, 57.1%). Mixed model performance varied on other criteria. Last observation carried forward (LOCF) was very seldom the best performing, and for nonignorable MPD frequently the worst. CONCLUSION: Simulation studies addressing methods to deal with MPD suffered from serious limitations. The mixed model approach was superior to other methods in terms of overall performance and bias. LOCF performed worst.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pacientes Desistentes del Tratamiento / Proyectos de Investigación / Ensayos Clínicos Controlados Aleatorios como Asunto / Encuestas y Cuestionarios / Perdida de Seguimiento / Exactitud de los Datos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pacientes Desistentes del Tratamiento / Proyectos de Investigación / Ensayos Clínicos Controlados Aleatorios como Asunto / Encuestas y Cuestionarios / Perdida de Seguimiento / Exactitud de los Datos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos