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Record W4414439812 · doi:10.1016/j.ajpc.2025.101192

GALECTIN-3 AND LONG-TERM CARDIOVASCULAR RISK IN PATIENTS WITH MYOCARDIAL INFARCTION TREATED WITH PCI: A META-ANALYSIS OF 5,457 PATIENTS

2025· article· en· W4414439812 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of Preventive Cardiology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsnot available
Fundersnot available
KeywordsMaceMyocardial infarctionHazard ratioProspective cohort studyProportional hazards modelBiomarkerPercutaneous coronary interventionCohort study

Abstract

fetched live from OpenAlex

Novel Biomarkers Residual cardiovascular risk remains a challenge after successful percutaneous coronary intervention in patients with myocardial infarction (MI). Galectin-3, a biomarker of inflammation and fibrosis, has been proposed as a prognostic tool, but its predictive value for long-term cardiovascular events post-PCI is not well defined. We conducted a systematic review and meta-analysis to evaluate the association between Galectin-3 levels and major adverse cardiovascular events (MACE) in this population. We conducted a systematic review and meta-analysis following PRISMA guidelines. Pubmed, Embase, Web of Science, and CENTRAL were searched for prospective cohort studies reporting hazard ratios (HRs) for MACE in relation to Galectin-3 levels measured at baseline in post-PCI patients with MI. Only studies reporting multivariable-adjusted HRs were included. A random-effects model was used to calculate the pooled HR. Risk of bias was assessed using the Newcastle-Ottawa Scale. A total of five prospective cohort studies were included, involving 5,457 patients with myocardial infarction treated with PCI. In all studies, Galectin-3 was measured in close proximity to the index PCI, typically during hospitalization, and patients were stratified according to biomarker concentration (high vs. low). The primary outcome was major adverse cardiovascular events (MACE), consistently defined across studies as a composite of all-cause mortality, nonfatal myocardial infarction, stroke, and repeat revascularization. The pooled adjusted hazard ratio for elevated Galectin-3 levels was 1.75 (95% CI: 1.37–2.23; p < 0.00001), indicating a 75% increased relative risk of long-term MACE in patients with higher Galectin-3 levels. All included studies reported hazard ratios derived from multivariable Cox regression models, adjusted for major clinical covariates including age, sex, diabetes, hypertension, renal function, and left ventricular ejection fraction. Elevated Galectin-3 levels identify post-MI patients at increased risk of long-term adverse cardiovascular events, regardless of revascularization success. This biomarker may uncover residual biological risk not captured by conventional imaging or clinical scores. These findings support its integration into risk assessment models and suggest a potential role for Galectin-3 in advancing precision-based preventive strategies.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
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 head0.006
GPT teacher head0.222
Teacher spread0.216 · 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