Effects of open-label placebos across populations and outcomes: an updated systematic review and meta-analysis of randomized controlled trials

This work synthesizes and updates findings from previous systematic-reviews and meta-analyses on open-label placebos (OLPs). For the first time, it directly tests whether OLPs differ in effects between clinical and non-clinical samples, and between self-report and objective outcomes. We searched eight databases up to November 9, 2023, and included 60 randomized controlled trials (RCTs), compromising 63 separate comparisons. OLPs yielded a small positive effect across various health-related outcomes (k = 63, n = 4554, SMD = 0.35, CI 95% = 0.26; 0.44, p < 0.0001, I<sup>2</sup> = 53%). The effect differed between clinical (k = 24, n = 1383, SMD = 0.47) and non-clinical samples (k = 39, n = 3171, SMD = 0.29; Q = 4.25, p < 0.05), as well as between self-reported (k = 55, n = 3919, SMD = 0.39) and objective outcomes (k = 17, n = 1250, SMD = 0.09; Q = 7.24, p < 0.01). Neithter the level of suggestiveness nor the type of control moderated the effect. These findings confirm that OLPs are effective for both clinical and non-clinical samples-particularly when effects are assessed via self-reports.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-15
DOI
https://doi.org/10.1038/s41598-025-14895-z
Citations
6
Primary Topic
Pain Management and Placebo Effect
Type
article
Field-Weighted Citation Impact
8.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of open-label placebos across populations and outcomes: an updated systematic review and meta-analysis of randomized controlled trials

Jens Gaab, Johannes C. Fendel, Stefan Schmidt, Carl Tiersch et al.
6 citations
Scientific Reports
Pain Management and Placebo Effect
8.59
article

Effects of open-label placebos across populations and outcomes: an updated systematic review and meta-analysis of randomized controlled trials

Jens Gaab, Johannes C. Fendel, Stefan Schmidt, Carl Tiersch, Paul Sölder
article en
6 citations

Abstract

This work synthesizes and updates findings from previous systematic-reviews and meta-analyses on open-label placebos (OLPs). For the first time, it directly tests whether OLPs differ in effects between clinical and non-clinical samples, and between self-report and objective outcomes. We searched eight databases up to November 9, 2023, and included 60 randomized controlled trials (RCTs), compromising 63 separate comparisons. OLPs yielded a small positive effect across various health-related outcomes (k = 63, n = 4554, SMD = 0.35, CI 95% = 0.26; 0.44, p < 0.0001, I<sup>2</sup> = 53%). The effect differed between clinical (k = 24, n = 1383, SMD = 0.47) and non-clinical samples (k = 39, n = 3171, SMD = 0.29; Q = 4.25, p < 0.05), as well as between self-reported (k = 55, n = 3919, SMD = 0.39) and objective outcomes (k = 17, n = 1250, SMD = 0.09; Q = 7.24, p < 0.01). Neithter the level of suggestiveness nor the type of control moderated the effect. These findings confirm that OLPs are effective for both clinical and non-clinical samples-particularly when effects are assessed via self-reports.

Scientific ReportsVol. 15(1)
University of Freiburg (DE), University of Basel (CH), University Medical Center Freiburg (DE)
Openalex Percentile: Top 2%
Pain Management and Placebo Effect
8.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.