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Record W3047978992 · doi:10.1097/md.0000000000023962

Effectiveness and safety of fire needle for knee osteoarthritis

2021· article· en· W3047978992 on OpenAlexaboutno aff
Lunbin Lu, Jing Ye, Jun Xiong, Jun Chen, Siyuan Zhu, Zhiying Zhong, Genhua Tang, Xingchen Zhou, Han Guo

Bibliographic record

VenueMedicine · 2021
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMedicineCochrane LibraryOsteoarthritisRandomized controlled trialMoxibustionAcupunctureMeta-analysisPhysical therapyMEDLINEClinical trialSurgeryAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: There is a lack of curative medical treatment for patients with knee osteoarthritis (KOA). Acupuncture represents an important alternative therapy. In various forms of acupuncture and moxibustion, the fire needle is an indispensable part. Knee osteoarthritis (KOA) is a series of symptoms and signs of knee joint caused by local injury and inflammation and chronic strain of the knee joint resulting in cartilage degeneration of the articular surface and reactive bone loss of the subchondral bone plate. The results of clinical trial indicated that the fire needle therapy has obvious curative effect in treating KOA. This protocol is intended to describe how to collate and accumulate evidence for the current efficient and safe treatment of KOA with fire needle. METHODS: Seven electronic databases were used to retrieve the literature for the KOA randomized controlled trials, including 3 English databases (PubMed, EMBASE, the Cochrane Central Register of Controlled Trials [Cochrane Library]), and 4 Chinese databases (Chinese National Knowledge Infrastructure, Chinese VIP Information, Wanfang Database, and Chinese Biomedical Literature Database). This systematic review will include all randomized controlled clinical trials using fire needle therapy for KOA. The observation Index is the Change of Western Ontario and McMaster Universities Osteoarthritis Index Total, first proposed by Bellamy in 1988. The selection of the study will be completed independently by 2 reviewers, extract the data, and evaluate the quality of the study before selecting the title, abstract, and full text. Revman 5.4 software will be used to perform meta-analyses of randomized controlled trials, where risk ratios for dichotomous data and standardized or weighted mean differences for continuous data are the results. RESULT: The results will be published in a peer-reviewed journal. CONCLUSION: This systematic review will provide the latest evidence to evaluate the safety and efficacy of fire needle therapy in patients with KOA. TRIAL REGISTRATION NUMBER: INPLASY202080030.

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)0.015
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.054
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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 designNon-randomized trial
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

Citations2
Published2021
Admission routes1
Has abstractyes

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