Evidence map›Paper›PMID 40989535›Full record

ArticleAmerican journal of preventive cardiology2025

B is for body fat: a practical implementation of the new clinical obesity definition into preventive cardiology clinic.

Sohail Zahid, Allison W Peng, Alexander C Razavi, Zhiqi Yao, Roger S Blumenthal, Michael J Blaha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Metabolic healthy obesity: A window for early cardiometabolic prevention.American journal of preventive cardiology · 2026
    Article
  2. Review
  3. 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

6 authors.

Sohail ZahidCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Allison W PengCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alexander C RazaviCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Zhiqi YaoCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Roger S BlumenthalCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael J BlahaCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a multifactorial disease with increasing prevalence in the United States and a major contributor to cardiovascular disease. The Lancet Commission recently issued a new definition of obesity to better capture individuals with excess body fat and metabolic consequences of adiposity. In this article, we provide a practical implementation of this new definition into a clinical practice using the ABC model of cardiovascular prevention, a framework to characterize major atherosclerotic risk factors. We recommend to emphasize B is for body fat, with routine measurement using body mass index and waist circumference, tailored history and physical exam to identify obesity-related diseases, lifestyle guidance, and pharmacological recommendations.

Indexed as

ObesityPreventive cardiologyPrimary preventionRisk factors

Identifiers

PMID40989535
PMCPMC12451358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.