Gravida and Birth Outcomes Prior to and after Diagnosis of Early Age–Onset Colorectal Cancer among Female Patients: Population-Based Epidemiologic Studies
Bibliographic record
Abstract
BACKGROUND: Early age-onset colorectal cancer (EAO-CRC) strikes during the reproductive years, yet pregnancies before and after diagnosis have not been thoroughly studied. Our objective was to comprehensively examine: (i) the relationship between gravida and EAO-CRC and (ii) the relationship between EAO-CRC and births after cancer diagnosis. METHODS: We conducted a case-control and a cohort study using administrative health data from British Columbia, Canada, of females diagnosed with EAO-CRC from 2005 to 2017 and age- and sex-matched cancer-free controls. Multivariable logistic regression models were used to evaluate: (i) the association between gravida assessed over the 5-year prodrome period before cancer diagnosis and EAO-CRC and (ii) the association between EAO-CRC and births assessed over a 5-year period following cancer diagnosis. RESULTS: The study sample consisted of 865 females (age at EAO-CRC diagnosis 42.5 ± 6.1 years) with EAO-CRC and 8,291 controls (42.4 ± 6.3 years). Females with a gravida of ≥2 in the 5-year prodrome period had 1.82 times the odds of EAO-CRC compared with those with gravida of 0 (OR, 1.82; 95% confidence interval, 1.19-2.78). After cancer diagnosis, females with EAO-CRC had significantly lower odds of giving birth within five years (OR, 0.23; 95% confidence interval, 0.15-0.37). Older age, lower income, rural residence, and greater healthcare utilization were associated with lower odds of post-diagnosis births. CONCLUSIONS: Our study highlights the complex relationship between reproductive health and EAO-CRC. IMPACT: Findings indicate a need for comprehensive psychosocial support addressing family planning for female patients with EAO-CRC.
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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 | 0.002 |
| 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".