ArticleBMC infectious diseases2025
Evaluation of ten diagnostic models for metabolic dysfunction-associated fatty liver disease in lean people living with HIV.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04215926 (The Epidemiological Investigation and Pathogenesis of NAFLD in HIV-infected Patients), which is not on this map. Cited by 1 paper.
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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.
The Epidemiological Investigation and Pathogenesis of NAFLD in HIV-infected Patients: a Cross-sectional Study
Who cites it
1 citing paper in PubMed.
- Establishment of a Risk Prediction Model for Metabolic Dysfunction-Associated Steatotic Liver Disease in People Living with HIV in China.Infection and drug resistance · 2026Article
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5 authors.
Funding
Abstract
backgroundThis study aimed to investigate the prevalence of lean metabolic dysfunction-associated fatty liver disease (lean MAFLD) in people living with HIV (PLWH) and to evaluate the performance of ten diagnostic models in identifying MAFLD in this population.
methodsLean MAFLD was defined as MAFLD occurring in patients with a body mass index (BMI) < 24 kg/m². Ten models, including fatty liver index (FLI), non-alcoholic fatty liver disease-liver fat score (NAFLD-LFS), hepatic steatosis index (HSI), Simple Index (SI), index of non-alcoholic fatty liver disease (ION), ZJU index, non-alcoholic fatty liver screening score (NSS), K-non-alcoholic fatty liver disease (K-NAFLD), visceral adiposity index (VAI), and lipid accumulation product (LAP), were evaluated for their ability to diagnose MAFLD. The diagnostic performance of these models was assessed using the area under the receiver operating characteristic curve (AUROC).
resultsAmong the 361 PLWH, 141 were diagnosed with MAFLD, resulting in a prevalence of 39.06%. MAFLD affected 58 (23.20%) of the 250 lean PLWH. For lean PLWH, the results generally matched those of the overall population. The NSS had the highest AUROC of 0.87, followed by the FLI (AUROC = 0.86), ZJU (AUROC = 0.85), and LAP (AUROC = 0.85). There was no statistically significant difference in diagnostic efficacy between NSS and these three indicators. The NSS performed significantly better than VAI, SI, NAFLD-LFS, K-NAFLD, ION, and HSI, with AUROC values of 0.80, 0.80, 0.80, 0.79, 0.79, and 0.77, respectively (all p < 0.05). Interestingly, for PLWH who are overweight, the diagnostic value of these models was low, ranging from 0.64 to 0.77. The FLI achieved a higher AUROC of 0.77, while the ION had the lowest value of 0.64.
conclusionOur study found a significant prevalence of MAFLD among lean PLWH. While general population-based diagnostic models show moderate accuracy in diagnosing MAFLD in this subgroup, they perform poorly in overweight PLWH, indicating the need for more specialized approaches.
trial registrationThis study was registered with the U.S. National Library of Medicine’s ClinicalTrials.gov platform under the code NCT04215926 on December 29, 2019.
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