Shanil Ebrahim1, Bradley C Johnston2, Elie A Akl3, Reem A Mustafa4, Xin Sun5, Stephen D Walter6, Diane Heels-Ansdell6, Pablo Alonso-Coello7, Gordon H Guyatt8. 1. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Department of Anesthesia, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Stanford Prevention Research Center, Department of Medicine, Stanford University, 1265 Welch Road, Stanford, California, USA, 94305; Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, 555 University Ave, Toronto, Ontario, Canada, M5G 1X8. Electronic address: shanil.ebrahim@mcmaster.ca. 2. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, 555 University Ave, Toronto, Ontario, Canada, M5G 1X8; Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, 555 University Ave, Toronto, Ontario, Canada, M5G 1X8; Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St., Toronto, Ontario, Canada, M5T 3M6. 3. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Department of Internal Medicine, American University of Beirut, Riad-El-Solh Beirut 1107 2020, Beirut, Lebanon; Department of Medicine, State University of New York at Buffalo, 462 Grider St., Buffalo, New York, USA, 14215. 4. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Department of Medicine, University of Missouri-Kansas City, 5100 Rockhill Road, Kansas City, Missouri, USA, 64110. 5. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Center for Clinical Epidemiology and Evidence-based Medicine, Xinqiao Hospital, 183 Xinqiaozheng Street, Chongqing, China. 6. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1. 7. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Iberoamerican Cochrane Centre, CIBERESP-IIB Sant Pau, Sant Antoni M. Claret 167, Barcelona, Spain 08025. 8. Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main St. West, Hamilton, Ontario, Canada, L8S 4K1; Department of Medicine, McMaster University, 1200 Main St. West, Hamilton, Canada, L8S 4K1.
Abstract
BACKGROUND: We previously developed an approach to address the impact of missing participant data in meta-analyses of continuous variables in trials that used the same measurement instrument. We extend this approach to meta-analyses including trials that use different instruments to measure the same construct. METHODS: We reviewed the available literature, conducted an iterative consultative process, and developed an approach involving a complete-case analysis complemented by sensitivity analyses that apply a series of increasingly stringent assumptions about results in patients with missing continuous outcome data. RESULTS: Our approach involves choosing the reference measurement instrument; converting scores from different instruments to the units of the reference instrument; developing four successively more stringent imputation strategies for addressing missing participant data; calculating a pooled mean difference for the complete-case analysis and imputation strategies; calculating the proportion of patients who experienced an important treatment effect; and judging the impact of the imputation strategies on the confidence in the estimate of effect. We applied our approach to an example systematic review of respiratory rehabilitation for chronic obstructive pulmonary disease. CONCLUSIONS: Our extended approach provides quantitative guidance for addressing missing participant data in systematic reviews of trials using different instruments to measure the same construct.
BACKGROUND: We previously developed an approach to address the impact of missing participant data in meta-analyses of continuous variables in trials that used the same measurement instrument. We extend this approach to meta-analyses including trials that use different instruments to measure the same construct. METHODS: We reviewed the available literature, conducted an iterative consultative process, and developed an approach involving a complete-case analysis complemented by sensitivity analyses that apply a series of increasingly stringent assumptions about results in patients with missing continuous outcome data. RESULTS: Our approach involves choosing the reference measurement instrument; converting scores from different instruments to the units of the reference instrument; developing four successively more stringent imputation strategies for addressing missing participant data; calculating a pooled mean difference for the complete-case analysis and imputation strategies; calculating the proportion of patients who experienced an important treatment effect; and judging the impact of the imputation strategies on the confidence in the estimate of effect. We applied our approach to an example systematic review of respiratory rehabilitation for chronic obstructive pulmonary disease. CONCLUSIONS: Our extended approach provides quantitative guidance for addressing missing participant data in systematic reviews of trials using different instruments to measure the same construct.
Authors: Elie A Akl; Alonso Carrasco-Labra; Romina Brignardello-Petersen; Ignacio Neumann; Bradley C Johnston; Xin Sun; Matthias Briel; Jason W Busse; Shanil Ebrahim; Carlos E Granados; Alfonso Iorio; Affan Irfan; Laura Martínez García; Reem A Mustafa; Anggie Ramírez-Morera; Anna Selva; Ivan Solà; Andrea Juliana Sanabria; Kari A O Tikkinen; Per O Vandvik; Robin W M Vernooij; Oscar E Zazueta; Qi Zhou; Gordon H Guyatt; Pablo Alonso-Coello Journal: BMJ Open Date: 2015-09-30 Impact factor: 2.692
Authors: Elie A Akl; Lara A Kahale; Arnav Agarwal; Nada Al-Matari; Shanil Ebrahim; Paul Elias Alexander; Matthias Briel; Romina Brignardello-Petersen; Jason W Busse; Batoul Diab; Alfonso Iorio; Joey Kwong; Ling Li; Luciane Cruz Lopes; Reem Mustafa; Ignacio Neumann; Kari A O Tikkinen; Per Olav Vandvik; Yuqing Zhang; Pablo Alonso-Coello; Gordon Guyatt Journal: Syst Rev Date: 2014-11-26
Authors: Elie A Akl; Khaled Shawwa; Lara A Kahale; Thomas Agoritsas; Romina Brignardello-Petersen; Jason W Busse; Alonso Carrasco-Labra; Shanil Ebrahim; Bradley C Johnston; Ignacio Neumann; Ivan Sola; Xin Sun; Per Vandvik; Yuqing Zhang; Pablo Alonso-Coello; Gordon H Guyatt Journal: BMJ Open Date: 2015-12-30 Impact factor: 2.692