Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors

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Observer bias in randomised clinical trials with binary outcomes : systematic review of trials with both blinded and non-blinded outcome assessors. / Hróbjartsson, Asbjørn; Thomsen, Ann Sofia Skou; Emanuelsson, Frida; Tendal, Britta; Hilden, Jørgen; Boutron, Isabelle; Ravaud, Philippe; Brorson, Stig.

In: B M J (Online), Vol. 344, 27.02.2012, p. e1119.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hróbjartsson, A, Thomsen, ASS, Emanuelsson, F, Tendal, B, Hilden, J, Boutron, I, Ravaud, P & Brorson, S 2012, 'Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors', B M J (Online), vol. 344, pp. e1119.

APA

Hróbjartsson, A., Thomsen, A. S. S., Emanuelsson, F., Tendal, B., Hilden, J., Boutron, I., Ravaud, P., & Brorson, S. (2012). Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors. B M J (Online), 344, e1119.

Vancouver

Hróbjartsson A, Thomsen ASS, Emanuelsson F, Tendal B, Hilden J, Boutron I et al. Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors. B M J (Online). 2012 Feb 27;344:e1119.

Author

Hróbjartsson, Asbjørn ; Thomsen, Ann Sofia Skou ; Emanuelsson, Frida ; Tendal, Britta ; Hilden, Jørgen ; Boutron, Isabelle ; Ravaud, Philippe ; Brorson, Stig. / Observer bias in randomised clinical trials with binary outcomes : systematic review of trials with both blinded and non-blinded outcome assessors. In: B M J (Online). 2012 ; Vol. 344. pp. e1119.

Bibtex

@article{0afc048f7c0f465d9a804ff1bf1b7768,
title = "Observer bias in randomised clinical trials with binary outcomes: systematic review of trials with both blinded and non-blinded outcome assessors",
abstract = "OBJECTIVE: To evaluate the impact of non-blinded outcome assessment on estimated treatment effects in randomised clinical trials with binary outcomes.DESIGN: Systematic review of trials with both blinded and non-blinded assessment of the same binary outcome. For each trial we calculated the ratio of the odds ratios--the odds ratio from non-blinded assessments relative to the corresponding odds ratio from blinded assessments. A ratio of odds ratios <1 indicated that non-blinded assessors generated more optimistic effect estimates than blinded assessors. We pooled the individual ratios of odds ratios with inverse variance random effects meta-analysis and explored reasons for variation in ratios of odds ratios with meta-regression. We also analysed rates of agreement between blinded and non-blinded assessors and calculated the number of patients needed to be reclassified to neutralise any bias.DATA SOURCES: PubMed, Embase, PsycINFO, CINAHL, Cochrane Central Register of Controlled Trials, HighWire Press, and Google Scholar.ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised clinical trials with blinded and non-blinded assessment of the same binary outcome.RESULTS: We included 21 trials in the main analysis (with 4391 patients); eight trials provided individual patient data. Outcomes in most trials were subjective--for example, qualitative assessment of the patient's function. The ratio of the odds ratios ranged from 0.02 to 14.4. The pooled ratio of odds ratios was 0.64 (95% confidence interval 0.43 to 0.96), indicating an average exaggeration of the non-blinded odds ratio by 36%. We found no significant association between low ratios of odds ratios and scores for outcome subjectivity (P=0.27); non-blinded assessor's overall involvement in the trial (P=0.60); or outcome vulnerability to non-blinded patients (P=0.52). Blinded and non-blinded assessors agreed in a median of 78% of assessments (interquartile range 64-90%) in the 12 trials with available data. The exaggeration of treatment effects associated with non-blinded assessors was induced by the misclassification of a median of 3% of the assessed patients per trial (1-7%).CONCLUSIONS: On average, non-blinded assessors of subjective binary outcomes generated substantially biased effect estimates in randomised clinical trials, exaggerating odds ratios by 36%. This bias was compatible with a high rate of agreement between blinded and non-blinded outcome assessors and driven by the misclassification of few patients.",
keywords = "Double-Blind Method, Humans, Observer Variation, Odds Ratio, Outcome Assessment (Health Care), Randomized Controlled Trials as Topic, Single-Blind Method, Treatment Outcome, Journal Article, Meta-Analysis, Research Support, Non-U.S. Gov't, Review",
author = "Asbj{\o}rn Hr{\'o}bjartsson and Thomsen, {Ann Sofia Skou} and Frida Emanuelsson and Britta Tendal and J{\o}rgen Hilden and Isabelle Boutron and Philippe Ravaud and Stig Brorson",
year = "2012",
month = feb,
day = "27",
language = "English",
volume = "344",
pages = "e1119",
journal = "The BMJ",
issn = "0959-8146",
publisher = "B M J Group",

}

RIS

TY - JOUR

T1 - Observer bias in randomised clinical trials with binary outcomes

T2 - systematic review of trials with both blinded and non-blinded outcome assessors

AU - Hróbjartsson, Asbjørn

AU - Thomsen, Ann Sofia Skou

AU - Emanuelsson, Frida

AU - Tendal, Britta

AU - Hilden, Jørgen

AU - Boutron, Isabelle

AU - Ravaud, Philippe

AU - Brorson, Stig

PY - 2012/2/27

Y1 - 2012/2/27

N2 - OBJECTIVE: To evaluate the impact of non-blinded outcome assessment on estimated treatment effects in randomised clinical trials with binary outcomes.DESIGN: Systematic review of trials with both blinded and non-blinded assessment of the same binary outcome. For each trial we calculated the ratio of the odds ratios--the odds ratio from non-blinded assessments relative to the corresponding odds ratio from blinded assessments. A ratio of odds ratios <1 indicated that non-blinded assessors generated more optimistic effect estimates than blinded assessors. We pooled the individual ratios of odds ratios with inverse variance random effects meta-analysis and explored reasons for variation in ratios of odds ratios with meta-regression. We also analysed rates of agreement between blinded and non-blinded assessors and calculated the number of patients needed to be reclassified to neutralise any bias.DATA SOURCES: PubMed, Embase, PsycINFO, CINAHL, Cochrane Central Register of Controlled Trials, HighWire Press, and Google Scholar.ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised clinical trials with blinded and non-blinded assessment of the same binary outcome.RESULTS: We included 21 trials in the main analysis (with 4391 patients); eight trials provided individual patient data. Outcomes in most trials were subjective--for example, qualitative assessment of the patient's function. The ratio of the odds ratios ranged from 0.02 to 14.4. The pooled ratio of odds ratios was 0.64 (95% confidence interval 0.43 to 0.96), indicating an average exaggeration of the non-blinded odds ratio by 36%. We found no significant association between low ratios of odds ratios and scores for outcome subjectivity (P=0.27); non-blinded assessor's overall involvement in the trial (P=0.60); or outcome vulnerability to non-blinded patients (P=0.52). Blinded and non-blinded assessors agreed in a median of 78% of assessments (interquartile range 64-90%) in the 12 trials with available data. The exaggeration of treatment effects associated with non-blinded assessors was induced by the misclassification of a median of 3% of the assessed patients per trial (1-7%).CONCLUSIONS: On average, non-blinded assessors of subjective binary outcomes generated substantially biased effect estimates in randomised clinical trials, exaggerating odds ratios by 36%. This bias was compatible with a high rate of agreement between blinded and non-blinded outcome assessors and driven by the misclassification of few patients.

AB - OBJECTIVE: To evaluate the impact of non-blinded outcome assessment on estimated treatment effects in randomised clinical trials with binary outcomes.DESIGN: Systematic review of trials with both blinded and non-blinded assessment of the same binary outcome. For each trial we calculated the ratio of the odds ratios--the odds ratio from non-blinded assessments relative to the corresponding odds ratio from blinded assessments. A ratio of odds ratios <1 indicated that non-blinded assessors generated more optimistic effect estimates than blinded assessors. We pooled the individual ratios of odds ratios with inverse variance random effects meta-analysis and explored reasons for variation in ratios of odds ratios with meta-regression. We also analysed rates of agreement between blinded and non-blinded assessors and calculated the number of patients needed to be reclassified to neutralise any bias.DATA SOURCES: PubMed, Embase, PsycINFO, CINAHL, Cochrane Central Register of Controlled Trials, HighWire Press, and Google Scholar.ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised clinical trials with blinded and non-blinded assessment of the same binary outcome.RESULTS: We included 21 trials in the main analysis (with 4391 patients); eight trials provided individual patient data. Outcomes in most trials were subjective--for example, qualitative assessment of the patient's function. The ratio of the odds ratios ranged from 0.02 to 14.4. The pooled ratio of odds ratios was 0.64 (95% confidence interval 0.43 to 0.96), indicating an average exaggeration of the non-blinded odds ratio by 36%. We found no significant association between low ratios of odds ratios and scores for outcome subjectivity (P=0.27); non-blinded assessor's overall involvement in the trial (P=0.60); or outcome vulnerability to non-blinded patients (P=0.52). Blinded and non-blinded assessors agreed in a median of 78% of assessments (interquartile range 64-90%) in the 12 trials with available data. The exaggeration of treatment effects associated with non-blinded assessors was induced by the misclassification of a median of 3% of the assessed patients per trial (1-7%).CONCLUSIONS: On average, non-blinded assessors of subjective binary outcomes generated substantially biased effect estimates in randomised clinical trials, exaggerating odds ratios by 36%. This bias was compatible with a high rate of agreement between blinded and non-blinded outcome assessors and driven by the misclassification of few patients.

KW - Double-Blind Method

KW - Humans

KW - Observer Variation

KW - Odds Ratio

KW - Outcome Assessment (Health Care)

KW - Randomized Controlled Trials as Topic

KW - Single-Blind Method

KW - Treatment Outcome

KW - Journal Article

KW - Meta-Analysis

KW - Research Support, Non-U.S. Gov't

KW - Review

M3 - Journal article

C2 - 22371859

VL - 344

SP - e1119

JO - The BMJ

JF - The BMJ

SN - 0959-8146

ER -

ID: 185941592