Bibliographic record
Abstract
目的系统评价B细胞特异性白血病病毒插入位点1（Bmi-1）基因表达与胃癌增殖、浸润、转移的相关性。方法检索Pub Med、FMRS、CNKI、VIP和Wan Fang Data等数据库。由两位研究者独立按照纳入和排除标准筛选文献、提取资料并根据Newcastle-Ottawa Scale（NOS）文献评价指南评价纳入研究的质量,采用Review Manager 5.2进行Meta分析,相关性评价的指标为肿瘤大小、浸润深度、淋巴结转移、病理学分型、远处转移。结果共纳入14篇病例对照研究,全体研究样本量合计1 253例。采用亚组分析法,对采用RT-PCR和免疫组化的研究分别进行独立的亚组分析,组间无异质性则采取合并分析,Meta分析结果显示：Bmi-1基因的表达与肿瘤大小、淋巴结转移、分化程度、浸润程度、远处转移有相关性（Z检验,P〈0.0001）。BMI-1基因阳性表达组胃癌患者与BMI-1基因阴性表达组肿瘤患者比较,肿瘤体积增大的风险更大（OR=1.76,95%CI：1.34~2.31,Z=4.03,P〈0.0001）,有更强的侵袭、浸润能力（OR=3.72,95%CI：2.09~6.63,Z=4.46,P〈0.00001）,病理学分型上为低分化的风险更大（OR=1.96,95%CI：1.50~2.55,Z=4.96,P〈0.00001）,更容易发生淋巴结转移（OR=2.67,95%CI：1.98~3.61,Z=6.39,P〈0.00001）,更容易发生远处转移（OR=4.34,95%CI：2.68~7.05,Z=5.96,P〈0.00001）。结论 BMI-1基因过表达可以增强胃癌的增殖、浸润和转移能力,与胃癌的恶性度呈正相关。
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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 | 0.077 | 0.189 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".