Real-world associations among patient-physician sex concordance, treatment practices, and cancer outcomes.
Bibliographic record
Abstract
e18511 Background: Prior research has linked patient-physician sex discordance with inferior surgical and cardiac outcomes. The impact of such sex inequities may be magnified in medical oncology, where patients often face a life-limiting illness and physicians assume the role of primary healthcare provider. This study examined cancer treatment practices and survival outcomes in sex-concordant vs. discordant patient-physician dyads. Methods: This was a population-based, retrospective cohort study of adults diagnosed with stage II-IV colon or lung cancer in 2013-2020 in Alberta, Canada and referred to a medical oncologist. Study data included physician- and patient-level demographics and cancer disease characteristics. Patient-physician dyads were classified as sex-concordant (female-female, male-male) or discordant (female-male, male-female). Time-to-event data were analysed using Kaplan-Meier methods and associations were assessed with Cox and logistic regression. Results: A total of 11,131 patients and 188 medical oncologists were included. Among patients, 49% were female and 50% were in sex-concordant patient-physician dyads. The median age was 68 years, 7615 (68%) had lung cancer, and 6016 (54%) had stage IV disease. In sex-concordant and discordant dyads, respectively, median overall survival (OS) was 17.1 and 18.7 months ( p = 0.047) while median cancer-specific survival (CSS) was 20.2 and 22.4 months ( p = 0.21). In multivariable analysis, sex-concordance was not significantly associated with OS or CSS in the overall cohort and in female patients. However, among male patients, sex-discordance was significantly associated with lower OS (hazard ratio [HR], 1.11; 95% CI, 1.04-1.19) and CSS (HR, 1.12; 95% CI 1.04 -1.21), largely driven by differences in survival outcomes in stage IV disease. Older age, higher comorbidity burden, lung cancer, and advanced stage correlated with worse outcomes in all multivariable models. Sex concordance was not significantly associated with adjuvant systemic anti-cancer therapy (SACT) use in stage II-III disease or with SACT use in stage IV disease. Treatment practices are summarized in the table. Conclusions: Sex concordance between patients and medical oncologists did not generally correlate with differential SACT use and survival. However, male patients treated by female physicians had worse outcomes compared to those treated by male physicians. Cancer outcomes may be prone to the effects of sex bias in specific patient-physician relationships. [Table: see text]
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".