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Psychiatric morbidity and the presence and absence of angiographic coronary disease in patients with chest pain

2001· article· en· W3026538245 on OpenAlexaboutno aff
M. Valkamo, Jukka Hintikka, Leo Niskanen, Heimo Viinamäki

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2001
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChest painToronto Alexithymia ScaleCoronary artery diseaseDepression (economics)Beck Depression InventoryAlexithymiaInternal medicineCardiologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Objective: To assess psychiatric morbidity in coronary angiogram patients. Method: A psychiatric assessment of 200 consecutive chest‐pain patients was performed the day before coronary angiography in a double‐blind study design. The sample included 132 men (mean age 57.2 years, SD 9.5) and 68 women (mean age 59.8 years, SD 8.9). A Structured Clinical Interview for DSM‐III‐R was used to obtain psychiatric diagnosis. The 21‐item Beck Depression Inventory, the 20‐item Toronto Alexithymia Scale and a four‐item Life Satisfaction Scale were used to assess mental symptoms. A coronary angiography with obstruction of a coronary artery by more than 50% was considered to indicate angiographic coronary disease. Results: Mental disorders were found in 28% (95% CI 14–41) of the patients with normal angiographic findings ( n =47) and in 24% (95% CI 17 – 30) of the patients with angiographic coronary disease ( n =153). Furthermore, no difference was found between these two groups in other rating scales assessing mental symptoms even when adjusted for the New York Heart Association class, duration of chest‐pain symptoms or exercise capacity. Conclusion: Psychiatric morbidity may not be associated with angiographic findings in patients with chest pain.

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)0.000
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 score0.007
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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

Citations11
Published2001
Admission routes1
Has abstractyes

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