Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers


Por: Ebrahim, S, Akl, EA, Mustafa, RA, Sun, X, Walter, SD, Heels-Ansdell, D, Alonso-Coello, P, Johnston, BC, Guyatt, GH

Publicada: 1 sep 2013
Resumen:
Background: No methods directly address the impact of missing participant data for continuous outcomes in systematic reviews on risk of bias. Methods: We conducted a consultative, iterative process to develop a framework for handling missing participant data for continuous outcomes. We considered sources reflecting real observed outcomes in participants followed-up in individual trials included in the systematic review, and developed a range of plausible strategies. We applied our approach to two systematic reviews. Results: We used five sources of data for imputing the means for participants with missing data. To impute standard deviation (SD), we used the median SD from the control arms of all included trials. Using these sources, we developed four progressively more stringent imputation strategies. In the first example review, effect estimates diminished and lost significance as strategies became more stringent, suggesting rating down confidence in estimates of effect for risk of bias. In the second, effect estimates maintained statistical significance using even the most stringent strategy, suggesting missing data does not undermine confidence in results. Conclusions: Our approach provides a useful, reasonable, and relatively simple, quantitative guidance for judging the impact of risk of bias as a result of missing participant data in systematic reviews of continuous outcomes. (C) 2013 Elsevier Inc. All rights reserved.

Filiaciones:
Ebrahim, S:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 McMaster Univ, Dept Anesthesia, Hamilton, ON L8S 4K1, Canada

Akl, EA:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 Amer Univ Beirut, Dept Internal Med, Beirut 11072020, Lebanon

 SUNY Buffalo, Dept Med, Buffalo, NY 14215 USA

Mustafa, RA:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 Univ Missouri, Dept Med, Kansas City, MO 64110 USA

Sun, X:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 Xinqiao Hosp, Ctr Clin Epidemiol & Evidence Based Med, Chongqing, Peoples R China

Walter, SD:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

Heels-Ansdell, D:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

Alonso-Coello, P:
 CIBERESP IIB St Pau, Iberoamer Cochrane Ctr, Barcelona 08025, Spain

Johnston, BC:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON M5T 3M6, Canada

 Hosp Sick Children, Dept Anesthesia & Pain Med, Toronto, ON M5G 1X8, Canada

 SickKids Res Inst, Toronto, ON M5G 1X8, Canada

Guyatt, GH:
 McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON L8S 4K1, Canada

 McMaster Univ, Dept Med, Hamilton, ON L8S 4K1, Canada
ISSN: 08954356





JOURNAL OF CLINICAL EPIDEMIOLOGY
Editorial
ELSEVIER SCIENCE INC, STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 66 Número: 9
Páginas: 1014-1021
WOS Id: 000323407400011
ID de PubMed: 23774111

MÉTRICAS