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Record W951880535

TNF-α-308G/A基因多态性与慢性牙周炎易感性关系的Meta分析

2014· article· zh· W951880535 on OpenAlexaboutno aff
钱利菊, 熊亚林, 刘琴, 秦朴, 杜跃华

Bibliographic record

Venue重庆医科大学学报 · 2014
Typearticle
Languagezh
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

目的:探讨肿瘤坏死因子-α-308(tumor necrosis factor-alpha-308,TNF-α-308)基因多态性与慢性牙周炎(chronic periodontitis,CP)易感性的关系。方法:计算机检索PubMed、EMbase、CNKI、CBM、VIP和万方数据,检索时限均为建库至2013年10月。按照纳入与排除标准筛出关于TNF-α-308G/A基因多态性与CP易感性相关的病例-对照研究或队列研究。对纳入研究采用Newcastle-Ottawa量表进行质量评价。采用RevMan 5.2.0和Stata 12.0软件进行统计分析。结果:共纳入18个研究,1 420例CP患者,1 538例健康对照。Meta分析结果显示:①TNF-α-308G/A基因多态性与CP相关性:等位基因遗传模型A vs.G(OR=1.05,95%CI=0.83~1.34,P=0.68)、加性遗传模型AA vs.GG(OR=1.35,95%CI=0.78~2.34,P=0.28)、显性遗传模型AA+AG vs.GG(OR=1.02,95%CI=0.79~1.33,P=0.88)、隐性遗传模型AA vs.AG+GG(OR=1.42,95%CI=0.82~2.45,P=0.21);②以人种、严重程度、吸烟情况为亚组进行分层分析,结果显示TNF-α-308位点的多样性在不同人群中也无明显相关性(P〉0.05)。结论:现有证据显示,TNF-α-308基因多态性可能与CP易感性无关。由于纳入研究数量有限,上述结论尚需开展更多高质量、大样本的随机对照试验加以验证。

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)0.004
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 score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.022

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 head0.047
GPT teacher head0.384
Teacher spread0.338 · 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
Published2014
Admission routes1
Has abstractyes

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