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天灸联合康复训练治疗腰肌筋膜疼痛综合征的疗效观察

2010· article· en· W3032022933 on OpenAlexaboutno aff
朱芬, 陈尚杰, 许琼瑜, 谢红亮, 梁明华

Bibliographic record

VenueZhonghua wuli yixue zazhi · 2010
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

目的 观察天灸联合康复训练治疗腰肌筋膜疼痛综合征的疗效.方法 共选取60例腰肌筋膜疼痛综合征患者,将其随机分为治疗组及对照组,治疗组给予天灸治疗及康复训练,对照组给予假天灸治疗及康复训练.于治疗1 d及3周时采用简化McGill疼痛量表对患者进行评定,观察2组患者治疗期间副反应发生情况;于治疗后3个月时进行随访,观察2组患者腰痛复发情况.结果 治疗1 d时,治疗组患者疼痛分级指数(PRI)、疼痛目测类比评分(VAS)及现有疼痛强度(PPI)均较治疗前显著改善(P 0.05),组问差异具有统计学意义(P 0.05).在治疗期间,发现治疗组有少许患者诉皮肤瘙痒、水疱、皮肤灼痛等副反应,经处理后均自行消退.治疗后3个月时随访发现,治疗组患者腰痛复发情况明显优于对照组(P<0.05),2组患者随访期问均无疤痕、感染发生.结论 天灸联合康复训练治疗腰肌筋膜疼痛综合征即时疗效及远期疗效显著,并且还具有治疗方便、副反应少、痛苦小、患者依从性好等优点,值得临床推广、应用。

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.004
GPT teacher head0.182
Teacher spread0.178 · 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 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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