Bibliographic record
Abstract
目的：系统评价转化生长因子-β1(transforming growth factor β1，TGF-β1)位点C509T、T869C、T29C多态性与骨密度及骨质疏松(osteoporosis，OP)的发生风险的相关性。方法：计算机检索PubMed、EMBASE、Web of Science及中国知网(CNKI)、维普(VIP)等数据库，时间均截至2020年4月，查找符合纳入与排除标准的相关研究。采用Newcastle-Ottawa(NOS)量表评估纳入文献的质量，运用RevMan 5.3进行统计学分析。结果：最终纳入16项研究，包括4 748个研究对象。荟萃分析结果显示TGF-β1基因位点T869C多态性与亚洲人群OP的发生风险相关，C等位基因是OP发生的危险因素。T869C多态性也与骨密度相关，且亚组分析亚洲绝经后女性和男性人群中差异仍有统计学意义。在椎体骨密度方面，男性TT基因型>CC基因型>TC基因型，绝经后女性TT基因型>TC基因型。在股骨颈骨密度方面，男性T基因携带者>CC基因型，绝经后女性TT基因型>C基因携带者。结论：TGF-β1基因T869C位点多态性与OP的发生风险相关，与骨密度相关，尤其是亚洲人群，且在亚洲绝经后女性和男性人群中差异仍有统计学意义，可作为预测OP的遗传指标。
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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; both teacher heads agree on what is shown here.
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".