Metformin as a risk factor of pathogenesis of colorectal cancer in type 2 diabetes patients: a Meta-analysis
Bibliographic record
Abstract
Objective To evaluate the association between metformin therapy and the risk of pathogenesis of colorectal cancer in patients with type 2 diabetes. Methods PubMed, Embase, Medline, the Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Digital Journal Full-text Database, and database for Chinese Technical Periodicals (VIP) till Nov. 2014 were searched for the cohort studies and case-control studies in evaluating the effect of metformin on colorectal cancer. A meta-analysis was performed using Rev Man5.2 software. The quality assessment of included studies was evaluated according to the Newcastle-Ottawa scale (NOS). Results A total of 11 original articles met the inclusion criteria, 8 of them were articles withcohort studies including 12 subgroup studies with 447 234 subjects, and the other 3 case-control studies with 24 032 subjects. Metaanalysis of cohort studies showed that metformin therapy reduced the risk of pathogenesis of colorectal cancer by 30% in type 2 diabetes patients compared with those with other oral glucose-lowering drugs (RR=0.70, 95%CI: 0.58-0.85, P=0.0002). The results from the case-control studies showed that metformin therapy may be associated with a reduced risk of colorectal cancer in patients with type 2 diabetes (OR=0.78, 95%CI: 0.71-0.86, P<0.00001). Conclusion Metformin therapy can lower the risk of pathogenesis of colorectal cancer in patients with type 2 diabetes. DOI: 10.11855/j.issn.0577-7402.2015.07.14
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".