Evidence map›Paper›PMID 42724639›Full record

ArticleLancet regional health. Americas2026

Visceral adipose tissue and incident cardiovascular disease among individuals without diabetes: an analysis of 15 prospective cohorts from 7 countries in Latin America.

Cohorts Consortium of Latin America and the Caribbean (CC-LAC)

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Cohorts Consortium of Latin America and the Caribbean (CC-LAC)

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Visceral adipose tissue (VAT) may causally contribute to cardiovascular disease (CVD); however, evidence in Latin America is limited. Here, we evaluated the association between estimated VAT (eVAT) and incident CVD among individuals without diabetes and estimated its population-attributable fraction (PAF) using data from the Cohorts Consortium of Latin America and the Caribbean (CC-LAC). Methods: We pooled data from 15 prospective cohorts across 7 countries (n = 23,097; 62% women [n = 14,383], median age 51 years). Baseline eVAT (in grams [g]) was estimated using the Metabolic Score for Visceral Fat (METS-VF) index, incorporating age, sex, an insulin resistance index, and waist-to-height ratio. The primary outcome was incident CVD events, including fatal and non-fatal outcomes. Cause-specific Cox proportional hazards models estimated adjusted hazard ratios (aHR). PAF estimates used scenario-based eVAT quartile reductions. Findings: Over a median follow-up of 4 years (113,622 person-years), 436 participants (1.9%) experienced an incident CVD event (174 fatal; 262 non-fatal). Uniformly age- and sex-standardized incidence rates were 3.8 (95% CI: 3.5-4.2) per 1000 person-years. Each 100 g increase in eVAT was associated with a 4% higher CVD hazard (aHR 1.04, 1.03-1.06). Compared with Q1 (<735 g), those in Q3 (1069-1441 g) and Q4 (≥1441 g) had a higher CVD hazard (Q3 aHR: 1.78 [1.28-2.49]; Q4 aHR: 2.03 [1.48-2.79]; p-for-trend <0.001). Associations were stronger for non-fatal events. In PAF estimates, shifting individuals from Q4 to lower quartiles could prevent 8.8% (2.8%-14.7%) of CVD events over 10 years. Interpretation: Higher eVAT was associated with increased CVD risk in Latin America, supporting the view that modest VAT reductions could decrease regional CVD burden. Funding: CC-LAC was funded by the Wellcome Trust.

Indexed as

Cardiovascular diseaseEpidemiologyLatin AmericaVisceral adiposity

Identifiers

PMID42724639
PMCPMC13559994

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.