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Carnation光子治疗带状疱疹的效果及护理

2012· article· zh· W3030069264 on OpenAlexaboutno aff
陈海燕, FENG Ying, 区凤仙, 杨素莲, 陆春, 赖维

Bibliographic record

VenueZhonghua xiandai huli zazhi · 2012
Typearticle
Languagezh
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCarnationHorticultureBiology

Abstract

fetched live from OpenAlex

目的 对比Carnation光子、He-Ne激光治疗带状疱疹的效果及安全性,探讨Carnation光子治疗带状疱疹的护理注意事项.方法 选取2010年6月至2011年6月门诊就诊的116例带状疱疹患者,在常规抗病毒治疗的基础上随机分组,其中61例行Carnation光子治疗,55例行He-Ne激光治疗.治疗前后用简式McGill疼痛问卷进行疼痛评分,7d后评估皮疹消退及疼痛缓解情况.结果 对于特殊型带状疱疹患者,Carnation光子治疗的有效率为95.00% (19/20),He-Ne激光治疗的有效率为35.29%(6/17),两组比较差异有统计学意义(P<0.05);在疼痛疗效评价方面,Carnation光子治疗后的疼痛指数为(0.6613±0.3457),He-Ne激光治疗后的疼痛指数为(0.4589±0.3683),两组比较差异有统计学意义(P<0.05).结论 Carnation光子辅助治疗带状疱疹安全、有效,且其效果优于He-Ne激光,可广泛用于带状疱疹患者的临床物理治疗。

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.017

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 head0.045
GPT teacher head0.362
Teacher spread0.317 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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