MétaCan
Menu
Back to cohort
Record W1998875474 · doi:10.1001/archpsyc.60.6.627

Depression and Other Psychological Risks Following Myocardial Infarction

2003· article· en· W1998875474 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArchives of General Psychiatry · 2003
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsMcGill University
FundersNational Heart, Lung, and Blood InstituteMedical Research CouncilHealth CanadaInstitut de Cardiologie de MontréalMedical Research Council Canada
KeywordsAngerBeck Depression InventoryNegative affectivityAnxietyPsychologyMyocardial infarctionDepression (economics)Clinical psychologySocial supportPsychiatryNeuroticismMedicinePersonality

Abstract

fetched live from OpenAlex

BACKGROUND: There is consistent evidence that depression symptoms predict long-term mortality following a myocardial infarction, and recent results show a dose-related gradient. The importance of other psychological variables remains unclear. METHODS: This study examines the relative importance of depression, anxiety, anger, and social support in predicting 5-year cardiac-related mortality following a myocardial infarction and assesses the role of any common underlying dimensions. The design of this cohort analytic study involves self-reports (Beck Depression Inventory, state scale of the State-Trait Anxiety Inventory, 20-item version of the General Health Questionnaire, Modified Somatic Perception Questionnaire, Anger Expression Scale, Perceived Social Support Scale, number of close friends and relatives, and visual analog scales of anger and stress). The study was conducted in 10 Montreal-area hospitals. The patients included 896 persons who experienced a myocardial infarction, aged 24 to 88 years (232 were women), followed up for 5 years using Medicare records; baseline data were complete for 95.0% of the patients. The intervention was usual care, and the main outcome measure was 5-year cardiac-related mortality. RESULTS: The Beck Depression Inventory (P<.001), the State-Trait Anxiety Inventory (P =.04), and the 20-item version of the General Health Questionnaire (P =.048) were related to outcome), but only depression remained significant after adjustment for cardiac disease severity (hazards ratio per SD, 1.46; 95% confidence interval, 1.18-1.79) (P<.001). Exploratory factor analysis revealed 3 underlying factors: negative affectivity, overt anger, and social support. There was also a covariate-adjusted trend between negative affectivity scores and outcome (P =.08). Furthermore, residual depression scores (P =.001) and negative affectivity scores (P =.05) were linked to cardiac-related mortality after adjustment for each other and cardiac covariates. CONCLUSIONS: Negative affectivity and some unique aspect of depression predict long-term cardiac-related mortality following a myocardial infarction independently of each other and cardiac disease severity. Additional research is needed to characterize the mechanisms involved.

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 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)0.000
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 score0.057
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.371
Teacher spread0.340 · 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