Cardiovascular hazards of insufficient treatment of depression among patients with known cardiovascular disease: a propensity score adjusted analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aims: The association between depression care adequacy and the risk of subsequent adverse cardiovascular disease (CVD) outcomes among patients with a previous diagnosis of myocardial infarction (MI) or stroke is not well defined. Methods and results: This retrospective cohort study used commercial claims data (2010-2015) and included adults with newly diagnosed and treated major depressive disorder (MDD) following an initial MI or stroke diagnosis. Depression care adequacy was assessed during the 3-month period following the MDD diagnosis index date using two measures: antidepressant dosage adequacy and duration adequacy. Cox models adjusted for the propensity of receiving adequate depression care were used to compare the risk of a composite CVD outcome (MI, stroke, congestive heart failure, and angina) as well as each individual CVD event between patients receiving adequate vs. inadequate depression care. A total of 1568 patients were included in the final cohort. Of these, 937 (59.8%) were categorized as receiving inadequate depression care based on at least one of the two treatment adequacy criteria. Propensity score adjusted Cox models showed that depression care inadequacy was associated with a significantly higher risk of the composite CVD endpoint [hazard ratio (HR) 1.20, 95% confidence interval (CI) 1.04-1.39], stroke (HR 1.20, 95% CI 1.02-1.42), and angina (HR 1.95, 95% CI 1.21-3.16) with no significant interaction based on cohort included (MI vs. stroke) or the definition of inadequate depression (dose vs. duration inadequacy) (Pinteraction > 0.05). Conclusion: Inadequate MDD care was associated with a higher risk of adverse CVD events. These findings reveal a significant unmet clinical need in patients with post-MI or post-stroke MDD that may impact CVD outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| 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 it