Evidence map›Paper›PMID 35379041›Full record

SynthesisScience progress

Clinical relevance of Tai Chi on pain and physical function in adults with knee osteoarthritis: An ancillary meta-analysis of randomized controlled trials.

George A Kelley, Kristi S Kelley, Leigh F Callahan

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. The Science of Tai Chi andJournal of integrative and complementary medicine · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

George A KelleyDepartment of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, 5631West Virginia University, Morgantown, WV, USA.ORCID 0000-0003-0595-4148
Kristi S KelleyDepartment of Epidemiology and Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, 5631West Virginia University, Morgantown, WV, USA.
Leigh F CallahanDepartment of Epidemiology, 6797University of North Carolina, Chapel Hill, NC, USA.
West Virginia University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical relevance of Tai Chi on pain, stiffness, and physical function in adults with knee osteoarthritis (KOA) has not been established. Therefore, the purpose of the current study was to address this gap. Eight randomized controlled trials from a recent meta-analysis representing 407 participants (216 Tai Chi, 191 control) in adults ≥18 years of age with KOA and included the assessment of pain, stiffness, and physical function using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) were assessed. The inverse variance heterogeneity model (IVhet) was first used to pool standardized mean difference effect sizes (ES) for each outcome. Clinical relevance, i.e., number-needed-to treat (NNT) ≤10 and relative risk reduction (RRR) ≥25% was calculated across assumed controlled risks (ACR) ranging from 0.01 to 0.99. Statistically significant improvements were found for pain (ES, -0.75, 95% CI, -0.99, -0.51; Q = 8.9,

Indexed as

Osteoarthritis, KneeTai JiHumansOntarioPainRandomized Controlled Trials as Topicagingmeta-analysisolder adultsosteoarthritisTai Chi

Identifiers

PMID35379041
PMCPMC10450487
OpenAlexW4224130955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.