Bibliographic record
Abstract
目的探讨白细胞介素-1α（IL-1α）-889基因多态性与慢性牙周炎（chronicperiodontitis，CP）易感性的相关性。方法系统检索中国生物医学文献数据库（CBM）、中国期刊全文数据库（CNKI）、PUBMED、MEDLINE和EMBASE数据库。对纳入研究的文献采用Newcastle—Ottawa量表进行质量评价。Meta分析采用RevMan5．1．2和Stata11．0进行。合并效应采用比值比（OR）和95％可信区间（95％ct）进行评价。发表偏倚通过绘制漏斗图直观判断和Egger回归法、Begg秩相关法进行量化检测。敏感性分析为剔除不符合HW平衡的文献后重新进行Meta分析。结果19个研究纳入Meta分析，共有慢性牙周炎患者1949例，健康对照1455例。IL-1α-889基因多态性与CP易感性相关（等位基因模型：OR=1．41，95％CI=1．17～1．70，P=0．0003；加性模型：OR=1．58，95％CI=1．20～2．10，P=0．001；显性遗传模型基因型：OR=1．61，95％CI=1．27～2．05，P〈0．0001；隐性遗传模型基因型：OR=1．39，95％CI=1．07—1．79，P=0．01）。结论IL-1α．889多态性与慢性牙周炎易感性相关联，T等位基因携带者遗传易感性上升。
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 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 | 0.044 | 0.090 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.015 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".