TY - JOUR
T1 - Systematic reviews experience major limitations in reporting absolute effects
AU - Alonso-Coello, Pablo
AU - Carrasco-Labra, Alonso
AU - Brignardello-Petersen, Romina
AU - Neumann, Ignacio
AU - Akl, Elie A
AU - Vernooij, Robin W M
AU - Johnston, Brad C
AU - Sun, Xin
AU - Briel, Matthias
AU - Busse, Jason W
AU - Ebrahim, Shanil
AU - Granados, Carlos E
AU - Iorio, Alfonso
AU - Irfan, Affan
AU - Martínez García, Laura
AU - Mustafa, Reem A
AU - Ramírez-Morera, Anggie
AU - Selva, Anna
AU - Solà, Ivan
AU - Sanabria, Andrea Juliana
AU - Tikkinen, Kari A O
AU - Vandvik, Per Olav
AU - Zazueta, Oscar E
AU - Zhang, Yuqing
AU - Zhou, Qi
AU - Schünemann, Holger
AU - Guyatt, Gordon H
N1 - Copyright © 2016 Elsevier Inc. All rights reserved.
PY - 2016/4
Y1 - 2016/4
N2 - OBJECTIVES: Expressing treatment effects in relative terms yields larger numbers than expressions in absolute terms, affecting the judgment of the clinicians and patients regarding the treatment options. It is uncertain how authors of systematic reviews (SRs) absolute effect estimates are reported in. We therefore undertook a systematic survey to identify and describe the reporting and methods for calculating absolute effect estimates in SRs.STUDY DESIGN AND SETTING: Two reviewers independently screened title, abstract, and full text and extracted data from a sample of Cochrane and non-Cochrane SRs. We used regression analyses to examine the association between study characteristics and the reporting of absolute estimates for the most patient-important outcome.RESULTS: We included 202 SRs (98 Cochrane and 104 non-Cochrane), most of which (92.1%) included standard meta-analyses including relative estimates of effect. Of the 202 SRs, 73 (36.1%) reported absolute effect estimates for the most patient-important outcome. SRs with statistically significant effects were more likely to report absolute estimates (odds ratio, 2.26; 95% confidence interval: 1.08, 4.74). The most commonly reported absolute estimates were: for each intervention, risk of adverse outcomes expressed as a percentage (41.1%); number needed to treat (26.0%); and risk for each intervention expressed as natural units or natural frequencies (24.7%). In 12.3% of the SRs that reported absolute effect estimates for both benefit and harm outcomes, harm outcomes were reported exclusively as absolute estimates. Exclusively reporting of beneficial outcomes as absolute estimates occurred in 6.8% of the SRs.CONCLUSIONS: Most SRs do not report absolute effects. Those that do often report them inadequately, thus requiring users of SRs to generate their own estimates of absolute effects. For any apparently effective or harmful intervention, SR authors should report both absolute and relative estimates to optimize the interpretation of their findings.
AB - OBJECTIVES: Expressing treatment effects in relative terms yields larger numbers than expressions in absolute terms, affecting the judgment of the clinicians and patients regarding the treatment options. It is uncertain how authors of systematic reviews (SRs) absolute effect estimates are reported in. We therefore undertook a systematic survey to identify and describe the reporting and methods for calculating absolute effect estimates in SRs.STUDY DESIGN AND SETTING: Two reviewers independently screened title, abstract, and full text and extracted data from a sample of Cochrane and non-Cochrane SRs. We used regression analyses to examine the association between study characteristics and the reporting of absolute estimates for the most patient-important outcome.RESULTS: We included 202 SRs (98 Cochrane and 104 non-Cochrane), most of which (92.1%) included standard meta-analyses including relative estimates of effect. Of the 202 SRs, 73 (36.1%) reported absolute effect estimates for the most patient-important outcome. SRs with statistically significant effects were more likely to report absolute estimates (odds ratio, 2.26; 95% confidence interval: 1.08, 4.74). The most commonly reported absolute estimates were: for each intervention, risk of adverse outcomes expressed as a percentage (41.1%); number needed to treat (26.0%); and risk for each intervention expressed as natural units or natural frequencies (24.7%). In 12.3% of the SRs that reported absolute effect estimates for both benefit and harm outcomes, harm outcomes were reported exclusively as absolute estimates. Exclusively reporting of beneficial outcomes as absolute estimates occurred in 6.8% of the SRs.CONCLUSIONS: Most SRs do not report absolute effects. Those that do often report them inadequately, thus requiring users of SRs to generate their own estimates of absolute effects. For any apparently effective or harmful intervention, SR authors should report both absolute and relative estimates to optimize the interpretation of their findings.
KW - Data Interpretation, Statistical
KW - Delivery of Health Care/standards
KW - Epidemiologic Studies
KW - Humans
KW - Odds Ratio
KW - Patient Outcome Assessment
KW - Quality Control
KW - Research Design
KW - Research Report
U2 - 10.1016/j.jclinepi.2015.11.002
DO - 10.1016/j.jclinepi.2015.11.002
M3 - Article
C2 - 26560992
SN - 0895-4356
VL - 72
SP - 16
EP - 26
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -