Association of hospital and physician case volumes with cardiac monitoring and cardiotoxicity during adjuvant trastuzumab treatment for breast cancer: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Adjuvant trastuzumab is the standard of care for patients with HER2 overexpressing breast cancer, but use of trastuzumab may lead to cardiotoxicity. Our goal was to evaluate the relationship between hospital and physician case volume and cardiac outcomes in this population. METHODS: In this retrospective cohort study, we identified all female patients in Ontario with a breast cancer diagnosis in 2003-2009 who underwent treatment with trastuzumab through a provincial drug-funding program and linked these patients to administrative databases to ascertain patient demographics, treating hospital and physician characteristics, admissions to hospital, cardiac risk factors, cardiac imaging and comorbidities. Insufficient cardiac monitoring was defined as per the Canadian Trastuzumab Working Group guideline. Cardiotoxicity was defined as receiving fewer than 16 of 18 doses of trastuzumab because of heart failure admission, heart failure diagnosis or discontinuation of the drug after cardiac imaging. We constructed hierarchical multivariable logistic regression models to evaluate the effect of annual hospital volume, cumulative physician volume and treatment period on cardiac monitoring and cardiotoxicity. RESULTS: Of 3777 women treated by 214 oncologists at 68 hospitals, 918 (24.3%) had insufficient cardiac monitoring and cardiotoxicity developed in 640 (16.9%). Cardiotoxicity occurred in 389 (42.4%) and 251 (8.8%) patients in the insufficient- and sufficient-monitoring groups, respectively. Higher annual hospital and cumulative physician volumes, and more recent calendar period, were all independent predictors for decreased cardiotoxicity. Adjustment for rates of cardiac monitoring annulled the relationships between case volume and cardiotoxicity. INTERPRETATION: Greater hospital and physician case volumes are associated with reduced rates of trastuzumab-related cardiotoxicity, most likely because of better cardiac monitoring at higher volume centres.
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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 | 0.000 | 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".