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Depression and Coronary Heart Disease

2005· article· en· W2119152592 on OpenAlexaff
Nancy Frasure‐Smith, François Lespérance

Bibliographic record

VenueCurrent Directions in Psychological Science · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de MontréalMontreal Heart Institute
Fundersnot available
KeywordsDepression (economics)Coronary heart diseaseIncidence (geometry)DiseaseInternal medicinePsychologyQuality of life (healthcare)CardiologyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

Beyond depression's impact on life quality, it is associated with both the incidence of coronary heart disease (CHD) and its prognosis. Depression is three times more common in CHD patients than in the general community. It is independently associated with at least a doubling in risk of subsequent cardiac events. Studies also show that it may precede the development of clinically evident CHD by many years. The mechanisms linking depression and CHD are currently unknown and likely to be complex. In addition to behavioral factors, changes in autonomic regulation, vascular disease of the brain, subchronic inflammation, reduced omega-3 free fatty acid levels, and enhanced platelet responsiveness may all be involved. Only one large clinical trial has attempted to alter CHD prognosis by treating depression. It succeeded in producing a small, but significant reduction in depression symptoms, but had no impact on subsequent CHD events. While debate continues about the causal relationship between CHD and depression, the best treatment strategy to improve prognosis in depressed CHD patients remains intensive modification of standard CHD risk factors in combination with treatment of depression to improve life quality.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.481
Teacher spread0.420 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2005
Admission routes1
Has abstractyes

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