Evaluation of Cardiac Comorbidities in Patients with Metastatic Breast Cancer Receiving Doxorubicin-Based and Non-Doxorubicin-Based Chemotherapy.
Bibliographic record
Abstract
Abstract Background: Some metastatic breast cancer (MBC) treatments are associated with cardiac toxicity. Real-world data regarding baseline cardiac comorbidities in patients with MBC prior to chemotherapy initiation are scarce. Such information would be useful in guiding treatment decisions. This study aims to describe the cardiac comorbidity profile of patients with MBC initiating doxorubicin-based (DOX) versus non-doxorubicin-based (Non-DOX) chemotherapy regimens from a managed-care perspective.Methods: Medical claims from the Ingenix Impact National Managed Care Database between 07/2002 and 06/2008 were analyzed. Patients included were aged ≥ 18 years, and had ≥ 2 diagnoses for breast cancer as well as ≥ 1 diagnosis for metastatic site within 12 months of chemotherapy initiation. Cardiac comorbidities [hypertension (HTN), cardiac arrhythmia (CAr), coronary artery disease (CAD), congestive heart failure (CHF), and myocardial infarction (MI)] were evaluated within 6 months prior to chemotherapy initiation. Patients were categorized based on receipt of DOX vs. Non-DOX-based chemotherapy.Results: A total of 12,345 patients (Non-DOX: 7,023, DOX: 5,322) formed the study population. Compared with the DOX group, the Non-DOX group was slightly older. Both groups reported a significant proportion of patients with cardiac comorbidities prior to chemotherapy, with significantly greater proportions reported in the Non-DOX group. Mean age (SD)HTNCArCADCHFMINon-DOX (n=7,023)56.9 (10.6)35.7%11.8%5.5%3.5%1.3%DOX (n=5,322)52.1 (9.1)30.8%8.1%3.3%2.0%0.5%P-value<.001<.001<.001<.001<.001<.001 Conclusions: Cardiac comorbidities were commonly reported in women with MBC prior to chemotherapy, with significantly greater proportions reported in the Non-DOX group. Such information is useful to healthcare professionals when considering potential interventions for patients with MBC. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 2078.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".