Diagnostic and treatment delays in young women with breast cancer.
Bibliographic record
Abstract
6575 Background: Delays in diagnosis (dx) and treatment (tx) affect breast cancer (BC) outcomes. We sought to identify factors associated with delays among young women, who do not undergo routine screening and often have pregnancy or breastfeeding-related breast changes that may mask a BC. Methods: The Young Women’s Breast Cancer Study is a multicenter, prospective cohort that enrolled 1302 women with newly dx BC age ≤40 between 2006-2016. Women reported the method and timing of cancer detection on the baseline survey. 231 were ineligible or excluded due to missing information. Among those reporting self-detected cancers, using multivariable regression we evaluated factors associated with delays ≥90 days (d) from symptom to presentation (self delay) and presentation to dx (care delay); in stage 0-III BC we evaluated delays ≥60d from dx to tx (tx delay). Results: 1071 eligible women had median age at dx of 37 yrs (17-40) and 74% reported self-detected cancers. Self delay or care delay ≥90d was reported in 17% and 13%, respectively. Factors inversely associated with self delay included pregnancy at dx (vs nulliparous, OR 0.10, CI 0.01-0.78) and perceived financial comfort (vs not, OR 0.62, CI 0.41-0.93). Women dx ≤1 year post-partum who breastfed (vs nulliparous, OR 2.60, CI 1.14-5.93) and those with a family history of breast/ovarian cancer (vs none, OR 1.79, CI 1.00-3.19) were more likely to have a care delay. Age was inversely associated with care delays (OR 0.94, CI 0.89-0.99). Tx delay was reported by 10% (105/1015), and associated with being single (vs partnered, OR 1.61, CI 1.02-2.56 ), non-white (vs white, OR 1.85, CI 1.09-3.13) and having Stage 0 BC (vs stage 1, OR: 3.08, CI 1.65-5.77); women with stage 3 BC (vs stage 1, OR 0.13, CI 0.03-0.56) were less likely to have a tx delay. Conclusions: In this cohort, most young women with BC underwent timely dx and tx initiation. Women dx ≤1 year post-partum who breastfed were more likely to experience a care delay, likely because lactational changes may mask BC signs and symptoms. The associations of perceived financial status with self delay and non-white race with tx delay underscore the need for additional support to ensure timely care for underserved populations with the goal of eliminating disparities in outcomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".