Bibliographic record
Abstract
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。
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.023 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".