Evidence map›Paper›PMID 41407283›Full record

ArticleClinical obesity2026

Relation Between Adiposity Measures and the Risk of a Composite of Cardiovascular Events, Diabetes, and Cancer in Patients With Cardiovascular Disease.

Ritobrata Bhattacharya, Frank L J Visseren, Manon G van der Meer, Martin Teraa, Jannick A N Dorresteijn, Ynte M Ruigrok, Thomas T van Sloten, UCC‐Smart Study Group

Abstract read
In one paragraph

Article in Clinical obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Ritobrata BhattacharyaDepartment of Vascular Medicine, Diabetology and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID https://orcid.org/0009-0006-3758-0389
Frank L J VisserenDepartment of Vascular Medicine, Diabetology and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands.
Manon G van der MeerDepartment of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Martin TeraaDepartment of Vascular Surgery, University Medical Center Utrecht, Utrecht, the Netherlands.
Jannick A N DorresteijnDepartment of Vascular Medicine, Diabetology and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands.
Ynte M RuigrokDepartment of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands.
Thomas T van SlotenDepartment of Vascular Medicine, Diabetology and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands.
UCC‐Smart Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adiposity contributes to multiple non-communicable diseases. To guide prevention of morbidity, this study aimed to quantify the relation between waist circumference (WC), body mass index (BMI), waist to height ratio (WtHR), abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) and the risk of a composite outcome including recurrent cardiovascular events, incident type 2 diabetes and incident cancer, as well as each individual disease and all-cause mortality. Data were used from the UCC-SMART cohort study from 6138 patients with cardiovascular disease. Cox proportional hazard models estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) for adiposity measures, modelled as quartiles and per 1 SD increase, in relation to disease outcomes. All adiposity measures, except SAT, were related to higher risk of the composite outcome. WC and VAT showed the strongest relation (HR 1.62, 95% CI: 1.43, 1.83 and 1.62, 95% CI: 1.44, 1.83, respectively). Only WC and VAT were related to all-cause mortality (HRs 1.17, 95% CI: 1.01, 1.37 and 1.26, 95% CI: 1.08, 1.46, respectively). In patients with cardiovascular disease, WC and VAT are most strongly related to the risk of the composite outcome and to all-cause mortality. Monitoring adiposity with WC and VAT may help identify high-risk patients and could guide earlier interventions.

Indexed as

AdiposityCardiovascular DiseasesDiabetes Mellitus, Type 2NeoplasmsObesityAdultAgedBody Mass IndexCohort StudiesFemaleHumansIntra-Abdominal FatMaleMiddle AgedProportional Hazards ModelsRisk Factorsadiposity measuresall‐cause mortalitycancercardiovascular diseasetype 2 diabetes

Identifiers

PMID41407283
PMCPMC12711375

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.