<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>43(4)</volume><submitter>Hrobjartsson A</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Blinding patients in clinical trials is a key methodological procedure, but the expected degree of bias due to nonblinded patients on estimated treatment effects is unknown.&lt;h4>Methods&lt;/h4>Systematic review of randomized clinical trials with one sub-study (i.e. experimental vs control) involving blinded patients and another, otherwise identical, sub-study involving nonblinded patients. Within each trial, we compared the difference in effect sizes (i.e. standardized mean differences) between the sub-studies. A difference &lt;0 indicates that nonblinded patients generated a more optimistic effect estimate. We pooled the differences with random-effects inverse variance meta-analysis, and explored reasons for heterogeneity.&lt;h4>Results&lt;/h4>Our main analysis included 12 trials (3869 patients). The average difference in effect size for patient-reported outcomes was -0.56 (95% confidence interval -0.71 to -0.41), (I(2)=60%, P=0.004), i.e. nonblinded patients exaggerated the effect size by an average of 0.56 standard deviation, but with considerable variation. Two of the 12 trials also used observer-reported outcomes, showing no indication of exaggerated effects due lack of patient blinding. There was a larger effect size difference in 10 acupuncture trials [-0.63 (-0.77 to -0.49)], than in the two non-acupuncture trials [-0.17 (-0.41 to 0.07)]. Lack of patient blinding also increased attrition and use of co-interventions: ratio of control group attrition risk 1.79 (1.18 to 2.70), and ratio of control group co-intervention risk 1.55 (0.99 to 2.43).&lt;h4>Conclusions&lt;/h4>This study provides empirical evidence of pronounced bias due to lack of patient blinding in complementary/alternative randomized clinical trials with patient-reported outcomes.</pubmed_abstract><journal>International journal of epidemiology</journal><pagination>1272-83</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4258786</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Bias due to lack of patient blinding in clinical trials. A systematic review of trials randomizing patients to blind and nonblind sub-studies.</pubmed_title><pmcid>PMC4258786</pmcid><pubmed_authors>Emanuelsson F</pubmed_authors><pubmed_authors>Hilden J</pubmed_authors><pubmed_authors>Hrobjartsson A</pubmed_authors><pubmed_authors>Skou Thomsen AS</pubmed_authors><pubmed_authors>Brorson S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Bias due to lack of patient blinding in clinical trials. A systematic review of trials randomizing patients to blind and nonblind sub-studies.</name><description>&lt;h4>Background&lt;/h4>Blinding patients in clinical trials is a key methodological procedure, but the expected degree of bias due to nonblinded patients on estimated treatment effects is unknown.&lt;h4>Methods&lt;/h4>Systematic review of randomized clinical trials with one sub-study (i.e. experimental vs control) involving blinded patients and another, otherwise identical, sub-study involving nonblinded patients. Within each trial, we compared the difference in effect sizes (i.e. standardized mean differences) between the sub-studies. A difference &lt;0 indicates that nonblinded patients generated a more optimistic effect estimate. We pooled the differences with random-effects inverse variance meta-analysis, and explored reasons for heterogeneity.&lt;h4>Results&lt;/h4>Our main analysis included 12 trials (3869 patients). The average difference in effect size for patient-reported outcomes was -0.56 (95% confidence interval -0.71 to -0.41), (I(2)=60%, P=0.004), i.e. nonblinded patients exaggerated the effect size by an average of 0.56 standard deviation, but with considerable variation. Two of the 12 trials also used observer-reported outcomes, showing no indication of exaggerated effects due lack of patient blinding. There was a larger effect size difference in 10 acupuncture trials [-0.63 (-0.77 to -0.49)], than in the two non-acupuncture trials [-0.17 (-0.41 to 0.07)]. Lack of patient blinding also increased attrition and use of co-interventions: ratio of control group attrition risk 1.79 (1.18 to 2.70), and ratio of control group co-intervention risk 1.55 (0.99 to 2.43).&lt;h4>Conclusions&lt;/h4>This study provides empirical evidence of pronounced bias due to lack of patient blinding in complementary/alternative randomized clinical trials with patient-reported outcomes.</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014 Aug</publication><modification>2026-05-03T04:35:37.571Z</modification><creation>2026-04-07T18:55:52.087Z</creation></dates><accession>S-EPMC4258786</accession><cross_references><pubmed>24881045</pubmed><doi>10.1093/ije/dyu115</doi></cross_references></HashMap>