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Record W2402278750

“杨氏”絮刺拔罐法治疗膝骨关节炎:多中心随机对照研究

2016· article· zh· W2402278750 on OpenAlexaboutno aff
Bo Wang, 刘希茹, 胡智海, 孙爱军, 马燕文, 陈颖盈, 张虚之, 刘美玲, Yi Wang, 王硕硕

Bibliographic record

Venue中国针灸 · 2016
Typearticle
Languagezh
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

目的:评价"杨氏"絮刺拔罐法治疗膝骨关节炎的临床疗效。方法:进行多中心、随机、平行对照试验,将171例膝骨关节炎患者随机分为絮刺拔罐组(89例)和常规针刺组(82例)。两组取穴均为内膝眼、犊鼻穴和阿是穴,絮刺拔罐组采用"杨氏"絮刺拔罐法进行治疗,用七星针轻叩穴位,待微出血后加拔火罐;常规针刺组采用半标准化的毫针刺法进行治疗,共治疗4周(次数规定为最少5次,最多10次),治疗结束后随访4周。采用西安大略麦马斯特大学骨性关节炎指数(Ontario and McMaster Universities Osteoarthritis Index,WOMAC)和疼痛视觉模拟评分表(visual analogue scale,VAS)评价患者疗效。结果:治疗4周后与随访时,两组患者WOMAC疼痛评分、僵硬评分、日常生活难度评分、总分均低于治疗前(均P〈0.0001);除治疗4周后,絮刺拔罐组的WOMAC僵硬评分与常规针刺组比较差异无统计学意义(P〉0.05)外,絮刺拔罐组在治疗4周后与随访时WOMAC其余各项评分和总分均低于常规针刺组(P〈0.0001,P〈0.01)。治疗2周、4周后和随访时,两组患者VAS评分均低于治疗前(均P〈0.0001),且随疗次增加VAS评分降低更明显(均P〈0.0001);治疗4周后和随访时絮刺拔罐组VAS评分均低于常规针刺组(P〈0.01,P〈0.0001)。结论:"杨氏"絮刺拔罐与常规针刺疗法均能明显改善膝骨关节炎患者关节疼痛及功能,且相对安全。在取穴相同的前提下,絮刺拔罐疗法较常规针刺疗法更有优势。

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.010
Scholarly communication0.0100.009
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.396
Teacher spread0.342 · 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 designRandomized 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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