Evidence map›Paper›PMID 39317703›Full record

SynthesisBritish journal of cancer2024

Association of metabolic obesity phenotypes with risk of overall and site-specific cancers: a systematic review and meta-analysis of cohort studies.

Yahya Mahamat-Saleh, Dagfinn Aune, Heinz Freisling, Sheetal Hardikar, Rola Jaafar, Sabina Rinaldi, Marc J Gunter, Laure Dossus

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Metabolic Health Matters More than Weight in Cancer Prevention.Journal of obesity & metabolic syndrome · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Yahya Mahamat-SalehNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France. mahamaty@iarc.who.int.ORCID http://orcid.org/0000-0002-5892-8886
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Heinz FreislingNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Sheetal HardikarDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Rola JaafarNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Sabina RinaldiNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Marc J Gunter *Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Laure Dossus *Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.

Funding

Diabetes, Medications and the Cost-Effectiveness of Screening for Colorectal NeoplasiaK07CA222060 · NCI · UNIVERSITY OF UTAH · PI HARDIKAR, SHEETAL · 2018 to 2022
$791k
NCI NIH HHS K07 CA222060World Health Organization 001
6 · The paper itself

Abstract

backgroundAdiposity is a known risk factor for certain cancers; however, it is not clear whether the risk of cancer differs between individuals with high adiposity but different metabolic health status. The aim of this systematic literature review and meta-analysis of cohort studies was to evaluate associations between metabolic obesity phenotypes and overall and site-specific cancer risk.

methodsPubMed and Embase databases were used to identify relevant cohort studies up to the 6th of June 2023. Random-effects models were used to estimate summary relative risks (SRRs) and 95% confidence intervals (CIs) for the association between metabolic obesity phenotypes and cancer risk. Certainty of evidence was assessed using the Cochrane methods and the GRADE tool. This study is registered with PROSPERO, number CRD42024549511.

resultsA total of 15,556 records were screened, and 31 publications covering 15 unique cohort studies were included in this analysis. Of these studies, 22 were evaluated as being at low risk of bias and 9 at moderate risk of bias. Compared to metabolically healthy normal-weight individuals (MHNW), metabolically unhealthy overweight/obese (MUOW/OB) individuals had a higher risk of overall (SRR = 1.21, 95% CI = 1.02-1.44, n = 3 studies, high certainty) and obesity-related cancers (SRR = 1.42, 95% CI = 1.15-1.74, n = 3, very low certainty). Specifically, MUOW/OB individuals were at higher risk of cancers of the postmenopausal breast (SRR = 1.32, 95% CI = 1.17-1.48, n = 7, low certainty), colorectum (SRR = 1.24, 95% CI = 1.16-1.31, n = 6, moderate certainty), endometrium (SRR = 2.31, 95% CI = 2.08-2.57, n = 4, high certainty), thyroid (SRR = 1.42, 95% CI = 1.29-1.57, n = 4, moderate certainty), kidney (SRR = 1.71, 95% CI = 1.40-2.10, n = 3, low certainty), pancreas (SRR = 1.35, 95% CI = 1.24-1.47, n = 3, high certainty), liver (SRR = 1.81, 95% CI = 1.36-2.42, n = 2, moderate certainty), gallbladder (SRR = 1.42, 95% CI = 1.17-1.73, n = 2, high certainty), bladder (SRR = 1.36, 95% CI = 1.19-1.56, n = 2, moderate certainty), and stomach (SRR = 1.50, 95% CI = 1.12-2.01, n = 2, high certainty). In addition, we found elevated risks of most of these cancers among individuals classified as MUNW and MHOW/OB phenotypes compared to those with MHNW phenotype. Our stratified analyses according to metabolic obesity phenotypes suggested that the elevated risks of some cancers were stronger in individuals with MUOW/OB versus those with MHOW/OB or MUNW phenotypes.

conclusionThese findings suggest that both higher adiposity and metabolic dysfunction were independently associated with increased risk of several cancers, with the strongest associations generally observed among those with both metabolic dysfunction and obesity.

Indexed as

NeoplasmsObesityAdiposityCohort StudiesFemaleHumansMalePhenotypeRisk Factors

Identifiers

PMID39317703
PMCPMC11519895

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.