MétaCan
Menu
Back to cohort
Record W2943201286 · doi:10.3390/medicina55050118

The Beneficial Effects of Traditional Chinese Exercises for Adults with Low Back Pain: A Meta-Analysis of Randomized Controlled Trials

2019· review· en· W2943201286 on OpenAlexaff
Yanjie Zhang, Paul D. Loprinzi, Lin Yang, Jing Liu, Shijie Liu, Liye Zou

Bibliographic record

VenueMedicina · 2019
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsMedicineMeta-analysisVisual analogue scaleCochrane LibraryRandomized controlled trialPhysical therapyOswestry Disability IndexConfidence intervalLow back painInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Objective: The aim of this meta-analytic review was to quantitatively examine the effects of traditional Chinese exercises (TCE) on pain intensity and back disability in individuals with low back pain (LBP). Methods: Potential articles were retrieved using seven electronic databases (Medline, Embase, Cinahl, Web of Science, Cochrane library, China National Knowledge Infrastructure, and Wanfang). The searched period was from inception to 1 March 2019. Randomized controlled trials (RCTs) assessing the effect of TCE on pain intensity and back disability in LBP patients were included. Pooled effect sizes were calculated using the random-effects models and 95% confidence interval (95% CI). Results: Data from eleven RCTs (886 individuals with LBP) meeting the inclusion criteria were extracted for meta-analysis. Compared with the control intervention, TCE induced significant improvements in the visual analogue scale (VAS) (Hedge’s g = −0.64, 95% CI −0.90 to −0.37, p < 0.001), Roland–Morris Disability Questionnaire (RMDQ) (Hedge’s g = −0.41, 95% CI −0.79 to −0.03, p = 0.03), Oswestry Disability Index (ODI) (Hedge’s g = −0.96, 95% CI −1.42 to −0.50, p < 0.001), and cognitive function (Hedge’s g = −0.62, 95% CI −0.85 to −0.39, p < 0.001). In a meta-regression analysis, age (β = 0.01, p = 0.02) and total exercise time (β = −0.0002, p = 0.01) were associated with changes in the VAS scores, respectively. Moderator analyses demonstrated that Tai Chi practice (Hedge’s g = −0.87, 95% CI −1.38 to −0.36, p < 0.001) and Qigong (Hedge’s g = −0.54, 95% CI −0.86 to −0.23, p < 0.001) reduced VAS scores. Interventions with a frequency of 1–2 times/week (Hedge’s g = −0.53, 95% CI −0.98 to −0.07, p = 0.02) and 3–4 times/week (Hedge’s g = −0.78, 95% CI −1.15 to −0.42, p < 0.001) were associated with reduced VAS scores, but this significant reduction on this outcome was not observed in the weekly training frequency of ≥5 times (Hedge’s g = −0.54, 95% CI −1.16 to 0.08, p = 0.09). Conclusions: TCE may have beneficial effects for reducing pain intensity for individuals with LBP, regardless of their pain status.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.043
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0230.047
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.351
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations63
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMedicinaSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207