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СПЕЦИФИКА ЛЕЧЕНИЯ БОЛЬНЫХ ИШЕМИЧЕСКОЙ БОЛЕЗНЬЮ СЕРДЦА И АЛЕКСИТИМИЕЙ В ПОЖИЛОМ ВОЗРАСТЕ

2004· article· ru· W2715612980 on OpenAlexaboutno aff
С. Бурлова, М. Е. Провоторов

Bibliographic record

VenueRussian Cardiology Journal (Russian Cardiology Society) · 2004
Typearticle
Languageru
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaMedicineAnginaToronto Alexithymia ScalePsychologyPhysical therapyClinical psychologyInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Recently investigators' attention has been focused on searching psychological and behavioural risk factors for coronary heart disease (CHD), and on perspectives of their modification in primary and secondary CHD prevention. The study included 147 patients with stable effort angina (functional class II-III) older than 55. The main criterion for diagnosing alexithymia and dividing participants into groups was the score greater than 74, by Toronto Alexithymia Scale. All participants were divided into three groups. Group 1 included patients with alexithymia, who received basic treatment for effort angina, together with two-week course of melatonin (M). Group II consisted of alexithymia patients not receiving M. Group III included alexithymia-free patients receiving basic therapy and M. After two weeks of combined M treatment, a significant improvement of all assessed psychological and objective parameters was observed.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.015
GPT teacher head0.259
Teacher spread0.245 · 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.

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

Citations0
Published2004
Admission routes1
Has abstractyes

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