ArticleLipids in health and disease2018
Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype.
Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 16 citations in OpenAlex.
- Association of general obesity, metabolically healthy obesity, and abdominal adiposity markers with elevated liver enzymes: a population-based study.Scientific reports · 2026Article
- Role of ChREBP-PPARα-FGF21 Axis in Metabolic Dysfunction of MASLD.International journal of molecular sciences · 2025Article
- Associations of ALT, AST and ALT/AST ratio with metabolically unhealthy obesity in the elderly.Frontiers in nutrition · 2025Article
- Association between Urinary Haloacetic Acid Concentrations and Liver Injury among Women: Results from the Tongji Reproductive and Environmental (TREE) Study.Environmental health perspectives · 2024Article
- Prevalence and predictors of metabolically healthy obesity in severely obese Asian children.Pediatric research · 2022Article
- Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Association of Alanine Aminotransferase With Different Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study.Frontiers in endocrinology · 2020Article
- Prevalence and clinical characteristics of metabolically unhealthy obesity in an Iranian adult population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundObesity could be classified into two phenotypes: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). This study investigated the ability of liver enzymes to identify obesity phenotype.
methodsWe conducted a cross-sectional study in 2197 obese adults (age > 40 years and BMI ≥25 kg/m
resultsIn this population, 75% of the participants have more than one cardiometabolic risk factor. Both GGT and ALT were strongly related to the MUHO phenotype. The association between the fourth quartile of GGT and MUHO risk was strong and independent of confounder risk factors in both genders (adjusted ORs, 1.73 (95%CI 1.03-2.92) for male and 1.82 (95%CI 1.29-2.57) for female). The association between the fourth quartile of ALT and MUHO risk was strong and independent in female, but not in male (adjusted ORs, 1.65 (95%CI 0.86-3.19) for male and 1.88 (95%CI 1.29-2.75) for female). Additionally, AST was not associated with MUHO phenotype.
conclusionsBoth GGT and ALT are effective markers for identifying MUHO in this population. Furthermore, the ability of GGT may be superior to ALT in male.
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.