[Reproductive Risk Factors For Breast Cancer: A Case-Control Study].
Bibliographic record
Abstract
Breast cancer is the leading cancer in Mali. The objective of this study was to evaluate the risk factors of breast cancer associated with reproduction. PATIENTS AND METHODS: We conducted a case-control study (January 2017 - September 2021) at the Gabriel Touré Teaching Hospital. The sample consisted of 200 cases and 400 controls. A multivariable logistic regression model was used to identify reproductive factors associated with breast cancer. Adjusted odds ratios (AOR) were produced with their 95% confidence intervals. RESULTS: The mean age of cases was 46.1 years ± 14.6 vs 33.1 years ± 12.1 for controls. Menopausal women constituted 37.5 % of cases vs only 4% in the controls group. Nulliparity and breastfeeding were negatively associated with breast cancer (p <0,001) while postmenopausal women had a8.09-fold increase in the risk of breast cancer. CONCLUSION: Nulliparity, breastfeeding and menopause were the reproductive factors associated with breast cancer in Mali.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".