Impacto do rastreamento mamográfico em mulheres de 40 a 49 anos da região de Barretos - SP
Bibliographic record
Abstract
Introduction: Breast cancer is a public health problem, being the major cause of morbidity and mortality of cancer in women worldwide.The mammographic screening was effective in reducing mortality from breast cancer in developed countries, but consensus is not yet the age of onset of mammographic screening.Objective: Investigate the impact of mammographic screening in women aged 40-49 years in Barretos region.Methods: This is a cross sectional observational study that included asymptomatic women aged 40-69 years who underwent screening mammography between the years 2003 to 2007.Women with tests classified by the BI-RADS at zero, four or five were summoned for investigation.We described the absolute and relative frequencies of the variables and their differences were analyzed by chi-square was chosen significance level p <0.05.Was performed logistic regression analysis to assess the risk of breast cancer in relation to age.Results: 27,133 women aged 40-69 were selected, 52% (14 082) of mammograms were performed in women 40 to 49 years.We detected 132 cases of breast cancer in women aged 40 to 69 years with 49 cases among women 40 to 49.The estimated risk of breast cancer among women between 40 and 49 years (OR 0.43 [95% CI 0.28 to 0.66]) was significantly lower than 60-69 years.Cases of breast cancer in women aged 40 to 49 years 55% were early (clinical stage 0-I) while in the period prior to screening was 13%.Conclusions: The screening mammography performed in the region Barrie showed a lower risk of breast cancer in women aged 40 to 49 years for women between 60 and 69 years.The study also showed that screening increased the number of initial cases (clinical stage 0-I) among women aged 40 to 49 years in the period prior to screening.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| 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".