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Record W17984133 · doi:10.1093/eurheartj/ehm504

Psychological treatment of cardiac patients: a meta-analysis.

2007· article· en· W17984133 on OpenAlexaff
苅谷 剛彦, 小塩 隆士, 所 道彦

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Previous reports of the effectiveness of psychological treatments (PTs) for cardiac patients reveal inconsistent results. We determined overall effects and gender differences. Eligible studies were randomized controlled trials, containing a PT arm. The authors identified 43 relevant randomized trials; 23 reported mortality data for 9856 patients. The odds-ratio (OR) for all-cause mortality at follow-up of 2 years or less, comparing PT plus usual care vs. usual care only, was OR 0.72 [95% confidence interval (CI) 0.56-0.94], but weakened with longer follow-up (OR 0.89; 95% CI 0.80-1.10). Mortality benefits only applied to men (OR 0.73, 95% CI 0.57-1.00; OR 1.01; 95% CI 0.87-1.72 for women). Trials initiating treatment at least 2 months after a cardiac event showed greater mortality benefits than those initiating treatment right after the event (OR 0.28; 95% CI 0.11-0.70 vs. OR 0.87; 95% CI 0.86-1.15, respectively). Mortality benefits due to PT were achieved despite small concomitant changes in negative affect. PT of cardiac patients reduces mortality and event recurrence. The mortality benefits appeared only in men even after controlling for age differences. The timing for the initiation of PT may be a critical mediating variable for mortality 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0130.031
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.252
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
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

Citations0
Published2007
Admission routes1
Has abstractyes

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