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Record W4287966815 · doi:10.35541/cjd.20200797

Effect of benzathine penicillin combined with ceftriaxone on the results of rapid plasma reagin circle card test/toluidine red unheated serum test in the treatment of early syphilis: a meta-analysis

2021· article· en· W4287966815 on OpenAlexaboutno aff

Bibliographic record

VenueChinese Journal of Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsRapid plasma reaginPenicillinCeftriaxoneMedicineSyphilisAntibioticsChemistryVirology

Abstract

fetched live from OpenAlex

摘要: 【摘要】 目的 系统评价苄星青霉素联合头孢曲松治疗早期梅毒对血清快速血浆反应素环状卡片试验/甲苯胺红不加热血清试验(RPR/TRUST)转阴率的疗效。方法 检索PubMed、Web of science、Embase、Cochrane、中国知网、万方、维普数据库中关于苄星青霉素联合头孢曲松治疗早期梅毒的病例对照研究。使用Newcastle-Ottawa量表(NOS)评估纳入研究文献的质量,使用RevMan5.3软件分析患者RPR/TRUST转阴率。结果 共纳入14个病例对照研究1 160例梅毒患者,联合组585例,单用组575例。结果显示,联合组血清RPR/TRUST转阴率明显高于单用组[OR = 3.70,95% CI(2.71,5.06),P < 0.001]。按随访时间进行亚组分析,联合治疗组在治疗后3个月[OR = 3.68,95% CI(2.26,5.98),P < 0.001]、6个月[OR = 3.11,95% CI(2.26,4.27),P < 0.001]及12个月时[OR = 4.35,95% CI(2.81,6.73),P < 0.001]RPR/TRUST转阴率均高于单用组。结论 与苄星青霉素相比,苄星青霉素联合头孢曲松治疗早期梅毒能更有效地促进血清RPR/TRUST转阴。

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)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.042
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.291
Teacher spread0.261 · 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 designMeta-analysis
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

Citations0
Published2021
Admission routes1
Has abstractyes

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