Cited by 43Mindfulness and Compassion InterventionsPain Management and Placebo EffectMusculoskeletal pain and rehabilitation

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

The efficacy of mindfulness-based interventions in acute pain: a systematic review and meta-analysis

Abstract

Recent meta-analyses have shown mindfulness-based interventions (MBIs) to be effective for chronic pain, but no pooled estimates of the effect of MBIs on acute pain are available. This meta-analysis was conducted to fill that gap. A literature search was conducted in 4 databases. Articles were eligible if they reported on randomized controlled trials of MBIs for people with acute pain and one of the following outcomes: pain severity, pain threshold, pain tolerance, or pain-related distress. Two authors independently extracted the data, assessed risk of bias, and provided GRADE ratings. Twenty-two studies were included. There was no evidence of an effect of MBIs on the primary outcome of pain severity in clinical {Hedges' g = 0.52; (95% confidence interval [CI] −0.241 to 1.280)} or experimental settings (Hedges' g = 0.04; 95% CI [−0.161 to 0.247]). There was a beneficial effect of MBIs on pain tolerance (Hedges' g = 0.68; 95% CI [0.157-1.282]) and pain threshold (Hedges' g = 0.72; 95% CI [0.210-1.154]) in experimental studies. There was no evidence of an effect of MBIs compared to control for pain-related distress in clinical (Hedges' g = 0.16; 95% CI [−0.018 to 0.419]) or experimental settings (Hedges' g = 0.44; 95% CI [−0.164 to 0.419]). GRADE assessment indicated that except for pain tolerance, the data were of low or very low quality. There is moderate evidence that MBIs are efficacious in increasing pain tolerance and weak evidence for pain threshold. However, there is an absence of good-quality evidence for the efficacy of MBIs for reducing the pain severity or pain-related distress in either clinical or experimental settings.

Overview

Integrity signals

Registry

Crossref · 10.1097/j.pain.0000000000001877

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 48 references

Cited by

Sorted by citations

Metadata

Authors
Shires, A., Sharpe, L., Davies, J. N., & Newton-John, T. R. O.
Affiliations
  • University of Technology Sydney (AU)
  • The University of Sydney (AU)
Corresponding author
Sharpe, Louise
Venue
Pain
Published
2020-06-18
Volume
161
Issue
8
Pages
1698-1707
ISSN
  • 0304-3959 (ISSN-L)
  • 1872-6623
OpenAlex
W3035847997
Cited by
43
References
48
Citations by year
2026: 5 · 2025: 8 · 2024: 8 · 2023: 8 · 2022: 5 · 2021: 6 · 2020: 3
FWCI
0.43
Type
journal article
Language
en
Open access
closed
Locations
  • Pain (publishedVersion)
  • PubMed (publishedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Pain Management and Placebo Effect
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
Keywords
mindfulness-based interventions, acute pain, pain intensity, pain tolerance, pain threshold, pain-related distress, mindfulness meditation, pain management
MeSH terms
Humans, Pain Threshold, Acute Pain, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review