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.
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.
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.
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.
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Citrulline or Watermelon Supplementation on Body Composition: A Systematic Review and Dose-Response Meta-Analysis.Nutrients · 2025Pooled it
- Cardiovascular-Kidney-Metabolic Syndrome, Healthy Lifestyles, and Risk of Cancer Incidence and Mortality: A Prospective Cohort Study.International journal of cancer · 2026Article
- Article
- Obesity-related Metabolic Dysfunction and Triple-negative Breast Cancer: Epidemiologic Signals, Mechanistic Pathways, and Opportunities for Prevention.Current obesity reports · 2026Review
- Hepatic fibro-inflammation measured by magnetic resonance imaging iron-corrected T1 predicts extrahepatic cancer risk: a UK Biobank study.Clinical and molecular hepatology · 2026Article
- Chronic High-Fat Diet Does Not Alter Overall Cancer Incidence in Trp53R270H/+ Mice.Cancer research communications · 2026Article
- Glucagon-like peptide 1 receptor agonists and cancer risk: the good, the bad and the unknown.Nature reviews. Clinical oncology · 2026Review
- The predictive value of abdominal fat area and volume for early recurrence of after resection hepatocellular carcinoma.BMC gastroenterology · 2026Article
- Association between remnant cholesterol and colorectal cancer risk in Korea: a nationwide population-based study.The Korean journal of internal medicine · 2026Article
- Metabolic Health Matters More than Weight in Cancer Prevention.Journal of obesity & metabolic syndrome · 2026Article
- Metabolic Phenotypes and the Risk of Cancer Occurrence: A Prospective Cohort Study with 18-Year Follow-up.Journal of obesity & metabolic syndrome · 2026Article
- The Insulin-Urothelial Axis: Evaluating Insulin Resistance as a Convergent Driver of Bladder Cancer Across Diverse Risk Factor Profiles.International journal of molecular sciences · 2026Review
- Evaluating the causal role of LEPR signaling in 16 cancers: A drug-target Mendelian randomization study.Medicine · 2026Article
- Obesity and Tolerance to Neoadjuvant Chemotherapy in Breast Cancer: A Retrospective Cohort Study.Cancers · 2026Article
- Pathophysiological Roles of Obesity-Induced Alterations in Extracellular Vesicles Derived from Adipose Tissue and Adipocytes.Current obesity reports · 2026Review
- Article
- Temporal trends in behavioural risk factors for cancers with rising incidence in younger adults: an analysis of population-based data in England.BMJ oncology · 2026Article
- Editorial: Mechanisms and management of inflammation-driven cardiovascular risk-from obesity and diabetes to autoimmunity and cancer.Frontiers in cardiovascular medicine · 2026Article
- Breaking the obesity-cancer link: assessing European school-based and complementary obesity-prevention strategies and their implementation obstacles.Frontiers in public health · 2026Article
- Exploring the potential relationship between serum biomarkers in obese individuals and cancer using FTIR, metabolomics, and lipidomics.Metabolomics : Official journal of the Metabolomic Society · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.