Evidence map›Paper›PMID 36969883›Full record

ArticleJournal of clinical and translational hepatology2023

Investigating the Effect of Metabolic Phenotypes on Health Events in Alcoholic and Nonalcoholic Fatty Liver Disease.

Hong Fan, Pengyan Zhang, Zhenqiu Liu, Renjia Zhao, Chen Suo, Xingdong Chen, Tiejun Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Metabolic Phenotypes: Drivers of Health Outcomes in Fatty Liver Diseases.Journal of clinical and translational hepatology · 2023
    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

7 authors at 1 institution in 2 countries.

Hong FanDepartment of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Pengyan ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Zhenqiu LiuState Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.
Renjia ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Chen SuoDepartment of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
Xingdong ChenState Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-3763-160X
Tiejun ZhangDepartment of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.ORCID https://orcid.org/0000-0002-5187-7393
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Metabolic dysfunction and obesity commonly coexist with both alcoholic and nonalcoholic fatty liver disease (AFLD and NAFLD). The association of AFLD and NAFLD with incident diseases in individuals with different metabolic phenotypes are unclear. Methods: UK Biobank study participants were screened for the presence of fatty liver at baseline. Body mass index and metabolic dysfunction were used to define metabolic phenotypes. Cox regression model was performed to examine the associations of AFLD and NAFLD with incident significant liver diseases (SLDs), cardiovascular diseases (CVDs), chronic kidney diseases (CKDs), and cancers, respectively. Results: A total of 43,974 AFLD and 103,248 NAFLD cases were identified. Both AFLD and NAFLD were associated with an increased risk of diseases of interest. The effects were amplified by obesity and metabolic abnormalities and modified by metabolic phenotypes. Compared to individuals free of fatty liver and with phenotype of metabolically healthy-normal weight, AFLD [hazard ratio (HR) 3.27; 95% CI: 1.95-5.47)] and NAFLD (HR 2.25; 95% CI: 1.28-3.94) cases with phenotype of metabolically obese-normal weight had the greatest risk of SLDs. For CVDs, CKDs, and cancer, the greatest risks were detected in AFLD and NAFLD cases with phenotype of metabolically obese-overweight/obesity. In this subpopulation, AFLD and NAFLD conferred a 2.75-fold (95% CI: 2.32-3.25) and 4.02-fold 95% CI: (3.64-4.43) increased risk of CVDs, 4.37-fold 95% CI: (3.38-5.64) and 6.55-fold 95% CI: (5.73-7.48) increased risk of CKDs, and 1.19-fold 95% CI: (1.08-1.27) and 1.21-fold 95% CI: (1.14-1.28) increased risk of cancers, respectively. Conclusions: Metabolic phenotypes modified the association of AFLD and NAFLD with intrahepatic and extrahepatic diseases.

Indexed as

AFLDMetabolic dysfunctionMetabolic phenotypeNAFLDObesity

Identifiers

PMID36969883
PMCPMC10037522
OpenAlexW4313589625

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.