[Risk factors of breast cancer in Asian women: a meta-analysis].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the risk factors of breast cancer in Asian women and to provide evidences for establishing a risk assessment model. METHODS: Published studies concerning risk factors of breast cancer in Asian women were searched systemically and assessed by NOS (Newcastle-Ottawa Scale) items between 1995 and 2010. RevMan 4.2 software was used for data analysis and for calculating OR and its 95%CI on every risk factor. RESULTS: 27 studies including 403 170 women were selected for Meta-analysis. According to NOS items, 20 studies were classified as A degree and 7 studies were evaluated as B degree. The risk factors of breast cancer and its pooled odds ratio values with statistical significance were as follows: 3.00 (95%CI: 1.68 - 5.36) when number of abortions ≥ 3; 2.39 (95%CI: 1.78 - 3.21) when with family history of breast cancer; 1.54 (95%CI: 1.30 - 1.82) when age at first live birth ≥ 30 (year); smoking was 1.50 (95%CI: 1.03 - 2.20); 1.48 (95%CI: 1.20 - 1.83) with no live births; 1.29 (95%CI: 1.12 - 1.47) with no breast feeding; 1.26 (1.07 - 1.49) with age at menarche ≤ 12 (year) and 1.16 (95%CI: 1.01 - 1.32) with alcohol drinking. CONCLUSION: Number of abortions ≥ 3, family history of breast cancer, age at first live birth ≥ 30 (year), smoking, no live births, no breast feeding, age at menarche ≤ 12 (year), and alcohol drinking were among the priorities in the establishment of breast cancer risk assessment model for Asian women.
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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) | 0.003 | 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 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".