Assessment of cardiotoxicity in hormone positive postmenopausal breast cancer patients receiving aromatase inhibitors
Bibliographic record
Abstract
Background: Aromatase inhibitors (AIs) represent an effective endocrine treatment for hormone receptor-positive postmenopausal breast cancer patients with early stage or metastatic disease.Objective: Assessment of Cardiotoxicity in Hormone positive Postmenopausal Breast Cancer Patients receiving AIs (upfront orswitch therapy).Methods: This cross sectional study included 123 postmenopausal breast cancer patients presented to the Clinical Oncology Department, Ain Shams University (Cairo, Egypt) in the interval from August 2016 to June 2017 with hormone receptor positive receiving Aromatase Inhibitors, To assess cardiotoxicity in these patients, they were subjected to blood pressure and lipid profile measurement, electrocardiography (ECG), and electrocardiography (ECHO) and classified into patients had Nolvadex then A.I (arm 1) and others had upfront A.I (arm 2).Results: The age of patients ranged from 41 years to 85 years with mean age of 61 years. Seventy one patients (57.7%) showed cardiotoxicity as assessed by ECHO. They showed significant correlation with rising age above 62 years, IHD, history of HTN and DM (p value: .001, .001, .017 and 0.035 respectively). However, correlation between cardiotoxity and blood pressure changes, lipid profile changes and ECG findings and ECHO changes in switch therapy and upfront A.I were not statistically significant (p value = .275, .116, .081 and .761 respectively).Conclusion: Assessment of cardiotoxicity in hormone positive postmenopausal breast cancer patients receiving Aromatase Inhibitors showed evidence of cardiotoxicity in half the patients (57.7%) as detected by ECHO only. They showed statistically non significant correlations either recievied switch therapy or upfront A.I.
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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".