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Record W2265444672 · doi:10.11575/prism/9459

Can Psychological Interventions Reduce Mortality Rates in Patients with Coronary Heart Disease and Cancer? A Review of Randomized Trials

2005· review· en· W2265444672 on OpenAlexaffvenue
Heather K. Scott, Jane Irvine, Paul Ritvo, Robert E. Mann

Bibliographic record

VenueLibraries and Cultural Resources (University of Calgary) · 2005
Typereview
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychological interventionRandomized controlled trialMedicineContext (archaeology)Intensive care medicineDiseaseCoronary heart diseaseAffect (linguistics)CancerPsychotherapistPsychiatryPsychologyInternal medicine

Abstract

fetched live from OpenAlex

This paper reviews evidence on the impact of psychological interventions on survival in patients suffering from one of two leading causes of death in developed countries: coronary heart disease and cancer. "Psychological interventions" in this context refers to those procedures commonly thought of as psychotherapy. Studies employing randomized controlled trials (RCTs) are considered. While there are inconsistencies in the literature, there is promising evidence on the potential for psychotherapy to affect survival from these two diseases. Beneficial effects on survival have been documented in about half of the controlled trials that have been reported in the literature. Limitations of these findings are considered and promising directions for future research identified.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.749
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
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 head0.097
GPT teacher head0.392
Teacher spread0.295 · 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 designOther design
Domainnot available
GenreReview

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
Published2005
Admission routes2
Has abstractyes

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