Evidence map›Paper›PMID 35338048›Full record

ArticleBMJ open gastroenterology2022

Metabolic dysfunction-related liver disease as a risk factor for cancer.

Alasdair Taylor, Moneeza K Siddiqui, Philip Ambery, Javier Armisen, Benjamin G Challis, Carolina Haefliger, Ewan R Pearson, Alex S F Doney, John F Dillon, Colin N A Palmer

Open access · goldAbstract read
In one paragraph

Article in BMJ open gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Alasdair TaylorPopulation Health and Genomics, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0002-4078-217X
Moneeza K SiddiquiPopulation Health and Genomics, University of Dundee, Dundee, UK.
Philip AmberyLate Stage Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca PLC, Gothenburg, Sweden.
Javier ArmisenEarly Clinical Development, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca PLC, Cambridge, UK.
Benjamin G ChallisTranslational Science & Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Carolina HaefligerCentre for Genomics Research, Discovery Sciences, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Ewan R PearsonPopulation Health and Genomics, University of Dundee, Dundee, UK.
Alex S F DoneyPopulation Health and Genomics, University of Dundee, Dundee, UK.
John F DillonMolecular and Clinical Medicine, University of Dundee, Dundee, UK, University of Dundee, Dundee, UK.
Colin N A PalmerPopulation Health and Genomics, University of Dundee, Dundee, UK c.n.a.palmer@dundee.ac.uk.
University of Dundee · GBAstraZeneca (United Kingdom) · GBAstraZeneca (Sweden) · SE

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveThe aim of this study was to investigate the association between obesity, diabetes and metabolic related liver dysfunction and the incidence of cancer.

designThis study was conducted with health record data available from the National Health Service in Tayside and Fife. Genetics of Diabetes Audit and Research Tayside, Scotland (GoDARTS), Scottish Health Research Register (SHARE) and Tayside and Fife diabetics, three Scottish cohorts of 13 695, 62 438 and 16 312 patients, respectively, were analysed in this study. Participants in GoDARTS were a volunteer sample, with half having type 2 diabetes mellitus(T2DM). SHARE was a volunteer sample. Tayside and Fife diabetics was a population-level cohort. Metabolic dysfunction-related liver disease (MDLD) was defined using alanine transaminase measurements, and individuals with alternative causes of liver disease (alcohol abuse, viruses, etc) were excluded from the analysis.

resultsMDLD associated with increased cancer incidence with a HR of 1.31 in a Cox proportional hazards model adjusted for sex, type 2 diabetes, body mass index(BMI), and smoking status (95% CI 1.27 to 1.35, p<0.0001). This was replicated in two further cohorts, and similar associations with cancer incidence were found for Fatty Liver Index (FLI), Fibrosis-4 Index (FIB-4) and non-alcoholic steatohepatitis (NASH). Homozygous carriers of the common non-alcoholic fatty liver disease (NAFLD) risk-variant PNPLA3 rs738409 had increased risk of cancer. (HR=1.27 (1.02 to 1.58), p=3.1×10

conclusionMDLD, FLI, FIB-4 and NASH associated with increased risk of cancer incidence and death. NAFLD may be a major component of the relationship between obesity and cancer incidence.

Indexed as

Diabetes Mellitus, Type 2Metabolic DiseasesNeoplasmsNon-alcoholic Fatty Liver DiseaseHumansObesityRisk FactorsState Medicinecancerepidemiologyfatty livergeneticsobesity

Identifiers

PMID35338048
PMCPMC8961105
OpenAlexW4220861017

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.