Meta-analysis on the correlation of cholecystectomy or cholecystolithiasis to risk of colorectal cancer in Chinese population
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: It is reported that the incidence of colorectal cancer is higher in patients receiving cholecystectomy (CHE) than in those who did not. However, the correlation of CHE and cholecystolithiasis (CHO) to colorectal cancer is unclear. This study was to investigate the correlation of CHE or CHO to risk of colorectal cancer in Chinese population. METHODS: A meta-analysis was conducted according to the guidelines set forth by the meta-analysis of observational studies in epidemiology (MOOSE statement). A manual and computer search of literature was performed. Included literatures were evaluated using the Newcastle-Ottawa Scale. Original data were extracted, pooled odd ratio (OR) and 95% confidence intervals (Cl) were calculated using revman 5.0. RESULTS: In total 26 studies were included. The pooled OR between CHO or CHE, CHE alone, CHO alone and colorectal cancer were 3.00 (95%IC 2.30-3.91), 2.85 (95%IC 2.13-3.81) and 2.68 (95%IC 1.93-3.72), respectively. Sub-group analysis in sex and position of tumors revealed obvious correlation of CHE or CHO to colorectal cancer except for the men's subgroup. CONCLUSION: CHE or CHO may be associated with colorectal cancer in Chinese population.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.024 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".