Cited by 87Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietObesity and Health Practices

Management of Obesity in Cardiovascular Practice

Open access
Després, Jean-Pierre, Carpentier, André C., Tchernof, André, Neeland, Ian J., Poirier, Paul·2021·Journal of the American College of Cardiology

Abstract

Obesity contributes to reduced life expectancy because of its link with type 2 diabetes and cardiovascular disease. Yet, targeting this poorly diagnosed, ill-defined, and underaddressed modifiable risk factor remains a challenge. In this review, we emphasize that the tendency among health care professionals to amalgam all forms of obesity altogether as a single entity may contribute to such difficulties and discrepancies. Obesity is a heterogeneous condition both in terms of causes and health consequences. Attention should be given to 2 prevalent subgroups of individuals: 1) patients who are overweight or moderately obese with excess visceral adipose tissue; and 2) patients with severe obesity, the latter group having distinct additional health issues related to their large body fat mass. The challenge of tackling high-cardiovascular-risk forms of obesity through a combination of personalized clinical approaches and population-based solutions is compounded by the current obesogenic environment and economy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jacc.2021.05.035

Cites

158 of 158 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The study's scale and duration, and inclusion of patients with a broad range of BMIs, represent most patients seen in a typical cardiovascular practice.

    “Strengths of our study include its scale and duration, as well as the inclusion of patients with a broad range of BMIs, representing most patients seen in a typical cardiovascular practice.23”

    From Semaglutide and cardiovascular outcomes by baseline and changes in adiposity measurements: a prespecified analysis of the SELECT trial (2025) · cites this paper as [23]

    The Abstract discusses overweight, moderate obesity, and severe obesity, and the section on severe obesity says patients with BMI ≥35 kg/m² are common in daily cardiology practice. The review does not assess the citing authors’ study or establish that its BMI range represents most patients in a typical cardiovascular practice. The study’s scale and duration are the citing authors’ own description, not a finding attributed to this source. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Overall diet quality and physical activity or fitness level are potent modulators of the risk associated with any BMI value, regardless of body composition.

    “Furthermore, overall diet quality and physical activity or fitness level are potent modulators of the risk associated with any BMI value, regardless of body composition.44”

    From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [44]

    The section 'Lifestyle and prevention/remission of T2D in visceral obesity' (page unavailable) links healthier diets and physical activity to lower cardiovascular risk and identifies fitness as a powerful risk predictor. 'From obesity to obesities' (page unavailable) also describes risk variation within BMI categories. The paper does not establish that these factors modulate risk at any BMI regardless of body composition; it emphasizes visceral adiposity as an important source of risk variation. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 159 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [3]Gonzalez-Muniesa P, Martinez-Gonzalez MA, Hu FB, Obesity. Nat Rev Dis Primers 2017; 3: 17034. 28617414

Cited by

Sorted by citations

Authors
Després, J.-P., Carpentier, A. C., Tchernof, A., Neeland, I. J., & Poirier, P.
Affiliations
  • Institut universitaire de cardiologie et de pneumologie de Québec (CA)
  • Université de Sherbrooke (CA)
  • University Hospitals of Cleveland (US)
Corresponding author
Després, Jean-Pierre
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2021-08
Volume
78
Issue
5
Pages
513-531
ISSN
0735-1097 (ISSN-L)
OpenAlex
W3186621629
Cited by
87
References
159
Citations by year
2026: 18 · 2025: 19 · 2024: 16 · 2023: 18 · 2022: 13 · 2021: 3
FWCI
1.92
Type
journal article
Language
en
Open access
Locations
  • Journal of the American College of Cardiology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Canadian Institutes of Health Research (FDN- 167278)
  • National Institute of Diabetes and Digestive and Kidney Diseases (K23DK106520)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
Keywords
obesity, cardiovascular risk, type 2 diabetes, visceral adipose tissue, morbid obesity, obesity heterogeneity, obesity treatment, obesogenic environment, modifiable risk factors, individualized care, population-level interventions
MeSH terms
Cardiology, Cardiovascular Diseases, Humans, Obesity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review