Abstract P4-20-04: Young women with breast cancer in Mexico: A report of the pilot phase of the “Mujer Joven y Fuerte” prospective cohort
Bibliographic record
Abstract
Abstract Background: Despite high rates of breast cancer in young women from low-and-middle-income countries (LMICs), their needs and concerns are not systematically studied or addressed. Understanding the characteristics of young women with breast cancer (YWBC) and the issues they face is of great relevance to the medical community, in order to tailor clinical interventions and supportive care for this unique and understudied patient population. The Mexican cohort “Mujer Joven y Fuerte” (Young and Strong Woman) has the goal of comprehensively characterizing and assessing the needs of YWBC in Mexico using patient- and physician-based surveys. Methods: A prospective cohort of newly diagnosed YWBC was established in November 2014 at two Mexican cancer centers in Mexico City and Monterrey. Eligible women answer web-based surveys on relevant topics including physical activity, genetics, psychosocial needs, and fertility. Clinicians complete pre-specified surveys using the US NIH BOLD Task Force common data elements registering clinical/pathologic characteristics and outcomes. Patients are evaluated at diagnosis, after 6 months, and annually for 5 years. Sub-studies assessing changes in cognition, sexual function and satisfaction, quality of life and depression/anxiety are being conducted, and biologic samples are stored for future research. Results: 96 YWBC with median age at diagnosis of 34 (21-41 y) were accrued to our pilot phase. 26% were single and 25% childless. 43% had higher education and 28% were employed. 90% presented with a self-detected mass. Clinical stage at diagnosis was distributed as follows: stage 0: 2%; I: 15%; IIA: 13%; IIB: 17%; III: 47%, and stage IV: 6%. The most frequent molecular subtype was HR+/HER2- (47%), followed by HER2+ (26%) and triple negative (21%). First follow-up results will be available shortly. Conclusions: To our knowledge, this represents the first prospective cohort of YWBC in Latin America. We are expanding this project to other centers in the region. Our findings will help develop culturally tailored interventions aimed at improving the psychosocial and medical outcomes of this vulnerable patient population. Citation Format: Villareal-Garza CM, Platas A, Castro-Sánchez A, Miaja M, Bargalló-Rocha E, Martinez-Cannon BA, Vega Y, Fonseca A, Ramos-Elias P, Márquez-Perez CJ, Bukowski A, Goss P, St. Louis J, Chapman J-A, Partridge A, Meneses A, Mohar A. Young women with breast cancer in Mexico: A report of the pilot phase of the “Mujer Joven y Fuerte” prospective cohort [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P4-20-04.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".