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Record W3094608115 · doi:10.1097/md.0000000000022599

The long-term effect of acupuncture for patients with knee osteoarthritis

2020· article· en· W3094608115 on OpenAlexaboutno aff
Nan Wu, Jin Huang, Xuguang Yang, Jian Guo, Feilai Liu, Yujing Gu, Yongtao Liu, Zhenhua Zhang, Shuai Yin, Xiaodong Feng

Bibliographic record

VenueMedicine · 2020
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisPhysical therapyAcupunctureRandomized controlled trialVisual analogue scaleTraditional Chinese medicineQuality of life (healthcare)Alternative medicineInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Whether there is the long-term effect of acupuncture on patients with knee osteoarthritis (KOA) or not is controversial. According to the basic theory of traditional acupuncture, deqi is the key to the efficacy of acupuncture. This randomized controlled trial aims to evaluate the existence of long-term effects caused by deqi in patients with KOA. METHODS AND ANALYSIS: A three-armed, parallel-design, randomized controlled trial is underway in China.108 KOA patients recruited by the rehabilitation center of the First Affiliated Hospital of Henan University of Traditional Chinese Medicine will be randomly assigned to the acupuncture with deqi group (A group), the acupuncture without deqi group (B group) and the waiting-list group (C group). Each patient will receive 5 30-minute sessions per week for 4 consecutive weeks and rest for 2 days between treatments, and undergo a 20-week follow-up. The primary outcome is the Western Ontario and McMaster Universities Osteoarthritis index (WOMAC score). The secondary outcomes include Western Ontario and McMaster Universities Osteoarthritis index (WOMAC score), Knee Injury and Osteoarthritis Outcome Score (KOOS), arthritis quality of life measurement scale simplified scale (AIMS2-SF), emotional monitoring and expectation scale. The pain visual analogue scale (VAS) and the Chinese version of modified Massachusetts General Hospital Acupuncture Sensation Scale (C-MMASS) will be used to evaluate the deqi sensation after each acupuncture treatment. At the same time, adverse events (AEs) occurred in the whole process will be recorded and analyzed. We will perform an intention-to-treat analysis and protocol (PP) analysis to statistically analyze the results of the trial. DISCUSSION: This trial will be useful to study the long-term effect of acupuncture and the influence of the deqi sensation on the long-term in the treatment of KOA, and to provide a clinical basis for treatment of patients with mild to moderate knee osteoarthritis in clinic. TRIAL REGISTRATION: Chinese Clinical Trial Registry, IDF: ChiCTR2000029291. Registered on January 21, 2020.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2020
Admission routes1
Has abstractyes

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