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Complete Versus Culprit-Only Revascularization in Older Patients With ST-Segment–Elevation Myocardial Infarction: An Individual Patient Meta-Analysis

2024· review· en· W4402111014 on OpenAlexaff
Gianluca Campo, Felix Böhm, Thomas Engstrøm, Pieter C. Smits, Islam Y. Elgendy, Gerry P McCann, David Wood, Matteo Serenelli, Stefan James, Dan Eik Høfsten, Bianca M. Boxma‐de Klerk, Adrian Banning, John A. Cairns, Rita Pavasini, Goran Stanković, Henning Kelbæk, Emanuele Barbato, Ilija Srdanović, Mohamed Hamza, Amerjeet Banning, Simone Biscaglia, Shamir R. Mehta

Bibliographic record

VenueCirculation · 2024
Typereview
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteHamilton Health SciencesSt. Paul's HospitalUniversity of British Columbia
FundersMedical Research Council
KeywordsMedicineRevascularizationMyocardial infarctionClinical endpointCulpritInternal medicineCardiologyRandomized controlled trialPopulationSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Complete revascularization is the standard treatment for patients with ST-segment-elevation myocardial infarction and multivessel disease. The FIRE trial (Functional Assessment in Elderly Myocardial Infarction Patients With Multivessel Disease) confirmed the benefit of complete revascularization in a population of older patients, but the follow-up is limited to 1 year. Therefore, the long-term benefit (>1 year) of this strategy in older patients is debated. To address this, an individual patient data meta-analysis was conducted in patients with ST-segment-elevation myocardial infarction ≥75 years of age enrolled in randomized clinical trials investigating complete versus culprit-only revascularization strategies. METHODS: PubMed, Embase, and the Cochrane database were systematically searched to identify randomized clinical trials comparing complete versus culprit-only revascularization. Individual patient-level data were collected from the relevant trials. The primary end point was death, myocardial infarction, or ischemia-driven revascularization. The secondary end point was cardiovascular death or myocardial infarction. RESULTS: Data from 7 randomized clinical trials encompassing 1733 patients (917 randomized to culprit-only and 816 to complete revascularization) were analyzed. The median age was 79 [interquartile range, 77-83] years. Of the patients, 595 (34%) were female. Follow-up ranged from a minimum of 6 months to a maximum of 6.2 years (median, 2.5 [interquartile range, 1-3.8] years). Complete revascularization reduced the primary end point up to 4 years (hazard ratio, 0.78 [95% CI, 0.63-0.96]) but not at the longest available follow-up (hazard ratio, 0.83 [95% CI, 0.69-1.01]). Complete revascularization significantly reduced the occurrence of cardiovascular death or myocardial infarction at the longest available follow-up (hazard ratio, 0.76 [95% CI, 0.58-0.99]). This was observed even when censoring the follow-up at each year. Long-term rate of death did not differ between complete and culprit-only revascularization arms. CONCLUSIONS: In this individual patient data meta-analysis of older patients with ST-segment-elevation myocardial infarction and multivessel disease, complete revascularization reduced the primary end point of death, myocardial infarction, or ischemia-driven revascularization up to 4 years. At the longest follow-up, complete revascularization reduced the composite of cardiovascular death or myocardial infarction but not the primary end point. REGISTRATION: URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42022367898.

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)0.016
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.047
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.112
GPT teacher head0.347
Teacher spread0.235 · 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 designMeta-analysis
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

Citations26
Published2024
Admission routes1
Has abstractyes

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