Evidence map›Paper›PMID 40831297›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2025

From Old to New: A Comprehensive Review of Obesity Diagnostic Criteria and Their Implications.

Sangmo Hong, Cheol-Young Park

Abstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

2 authors.

Sangmo HongDepartment of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Korea.
Cheol-Young ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a chronic, multifactorial disease that imposes significant health burdens worldwide. Although body mass index (BMI) is widely used for its simplicity and utility at the population level, it fails to capture critical clinical aspects, including body composition, fat distribution, metabolic health, and functional impairment. This review explores the limitations of current BMI-based diagnostic criteria for obesity and introduces a new definition and diagnostic framework proposed by the Commission on Clinical Obesity. The new criteria redefine obesity using clinical and biological markers and distinguish between clinical and preclinical obesity based on functional consequences and risk stratification. This approach aims to facilitate more accurate diagnoses, individualized treatment, and evidence-based health policies, while also addressing issues such as weight stigma and overdiagnosis. Further research is needed to validate this model and support its integration into clinical practice.

Indexed as

Body Mass IndexObesityBiomarkersBody CompositionHumansBiomarkersBody mass indexDiseaseObesity

Identifiers

PMID40831297
PMCPMC12409152

What OpenQuestion 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 OpenQuestion graph.