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Record W2065676805 · doi:10.1159/000048951

Trial of Invasive versus Medical Therapy in the Elderly (TIME)

2001· article· en· W2065676805 on OpenAlexaboutno aff
Matthias Pfisterer

Bibliographic record

VenueHeart Drug · 2001
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRevascularizationClinical endpointMyocardial infarctionInternal medicineCoronary artery diseaseAnginaCardiologyCanadian Cardiovascular SocietyPercutaneous coronary interventionAcute coronary syndromeRandomized controlled trialPercutaneousSurgery

Abstract

fetched live from OpenAlex

Background: The risk associated with revascularization (coronary artery bypass-graft surgery and percutaneous coronary interventions) is increased in elderly patients with chronic symptomatic coronary artery disease (CAD) and may outweigh the benefit compared to optimal medical management in this patient group. Patients and Methods: Patients aged ≧75 years with angina Canadian Cardiac Society class ≧II despite at least two antiangial drugs are prospectively enrolled in 14 Swiss centers. They are randomized to coronary angiography and revascularization if possible or to optimized medical therapy and followed up for 6 and 12 months. The primary endpoint is quality of life, assessed by a self-administered structured questionnaire at baseline and after 6 months and occurrence of a composite endpoint of: death, myocardial infarction or hospitalization for acute coronary syndrome/need for revascularization. Results and Relevance: Preliminary data show that included patients meet the goals of the trial. Results will define the role of revascularization in these patients with significant management and cost implications.

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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 designRandomized trial
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

Citations7
Published2001
Admission routes1
Has abstractyes

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