SynthesisLipids in health and disease2022
Association between the severity of metabolic dysfunction-associated fatty liver disease and the risk of colorectal neoplasm: a systematic review and meta-analysis.
Synthesis in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Association between metabolic dysfunction-associated steatotic liver disease and risk of colorectal cancer or colorectal adenoma: an updated meta-analysis of cohort studies.Frontiers in oncology · 2024Pooled it
- Metabolic factors associated with colorectal neoplasms: a single center retrospective cross-sectional analysis of colonoscopy patients.BMC gastroenterology · 2026Article
- Therapeutic Potential of Saikosaponins in MASLD and Cross-Organ Protection: A Research Update.Food science & nutrition · 2026Review
- Article
- Metabolic-associated fatty liver disease: a selective review of pathogenesis, diagnostic approaches, and therapeutic strategies.Frontiers in medicine · 2024Review
- Metabolic-associated fatty liver disease and pregnancy complications: new challenges and clinical perspectives.Therapeutic advances in endocrinology and metabolism · 2024Review
- Increased detection rates of advanced colorectal adenoma in women with metabolic dysfunction-associated fatty liver disease.Heliyon · 2023Article
- Article
- High-fat diet plus HNF1A variant promotes polyps by activating β-catenin in early-onset colorectal cancer.JCI insight · 2023Article
- Epidemiology, natural history, and diagnosis of metabolic dysfunction-associated fatty liver disease: a comparative review with nonalcoholic fatty liver disease.Therapeutic advances in endocrinology and metabolism · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe severity of metabolic dysfunction-associated fatty liver disease (MAFLD) reportedly plays a part in the etiology of colorectal tumors. However, there is no consensus.
methodsStudies relevant with the impact of MAFLD severity on the risk of colorectal neoplasms published before 24th April 2022 were screened. The pooled odds ratio (OR) with corresponding 95% confidence intervals (95% CI) was obtained using standard and cumulative meta-analyses. Subgroup, meta-regression, and sensitivity analyses were carried out to identify heterogeneity.
resultsFourteen studies with data from 37,824 MAFLD patients were included. The prevalence of colorectal neoplasms escalated with the progression of MAFLD compared to simple steatosis (OR = 1.93; 95% CI = 1.42-2.62). The magnitude and direction of the effect on these outcomes remained largely constant over time. Even after limiting the meta-analysis to 8 studies with available adjusted OR (aOR), the findings still suggested that MAFLD severity was positively related to colorectal neoplasms (aOR = 3.03; 95% CI = 2.02-4.53). Severe MAFLD was more likely to cause left colon tumors (OR = 3.86, 95% CI = 2.16-6.91) than right colon neoplasms (OR = 1.94, 95% CI = 1.15-3.28).
conclusionThe severity of MAFLD was independently related to colorectal neoplasms and severe MAFLD was more likely to cause left colon tumors.
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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.