Evidence map›Paper›PMID 34953761›Full record

ArticleDigestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver2022

Association of metabolic health phenotypes, obesity, and hepatocellular carcinoma risk.

Duaa S Nasereldin, Launia J White, David O Hodge, Lewis R Roberts, Tushar Patel, Samuel O Antwi

Abstract read
In one paragraph

Article in Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Chemoprevention of hepatocellular carcinoma.Hepatology communications · 2025
    Review
  11. The Changing Pathogenesis of Liver Cancer in Hawaii over Three Decades.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  12. Liver diseases: epidemiology, causes, trends and predictions.Signal transduction and targeted therapy · 2025
    Review
  13. Review
  14. Article
  15. Article
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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.

Duaa S NasereldinDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Launia J WhiteDivision of Biomedical Statistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
David O HodgeDivision of Biomedical Statistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Lewis R RobertsDepartment of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
Tushar PatelDepartment of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
Samuel O AntwiDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA. Electronic address: Antwi.samuel@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Integrated molecular epidemiologic analysis of the one-carbon metabolism pathway and risk of HCCK01CA237875 · NCI · MAYO CLINIC JACKSONVILLE · PI ANTWI, SAMUEL O. · 2020 to 2024
$829k
NCI NIH HHS K01 CA237875NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

backgroundThe obesity and hepatocellular carcinoma (HCC) risk association may differ by individuals' metabolic health status.

aimTo investigate the association between obesity categories and HCC risk among individuals with different metabolic health phenotypes.

methodsA case-control study among 518 HCC cases and 1,036 frequency-matched controls was conducted. Body mass index (BMI) was assessed before diagnosis. Pre-diagnosis data on dyslipidemia, hypertension, and diabetes were used to categorize participants as metabolically healthy or metabolically unhealthy. Participants were further categorized into metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW), metabolically unhealthy overweight (MUOW), and metabolically unhealthy obese (MHO). We used logistic regression to calculate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs).

resultsBeing overweight (OR=1.68, 95%CI=1.21-2.34) or obese (OR=1.49, 95%CI=1.11-1.89) was associated with higher HCC risk. Among metabolically healthy participants, no association was found between being overweight or obese and HCC risk. However, among the metabolically unhealthy participants, being overweight (OR=1.89, 95%CI=1.31-2.72) or obese (OR=1.50, 95%CI=1.07-2.09) was associated with higher HCC risk. Compared to the MHNW phenotype, no association was found between the MHOW and MHO phenotypes and HCC risk, but the MUNW (OR=1.94, 95%CI=1.09-3.43), MUOW (OR=3.78, 95%CI=2.15-6.65), and MUO (OR=2.93, 95%CI=1.70-5.05) phenotypes were associated with higher HCC risk.

conclusionThe association between BMI and HCC appears to be restricted to individuals with underlying metabolic abnormalities.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMetabolic SyndromeObesity, Metabolically BenignBody Mass IndexCase-Control StudiesHumansObesityOverweightPhenotypeRisk FactorsBMIHCCHepatocellular carcinomaLiver cancerMetabolicobesity

Identifiers

PMID34953761
PMCPMC9213572

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Registered trials

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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.