ArticleFrontiers in nutrition2026
Association of the cholesterol-HDL-glucose index with prevalent metabolic dysfunction-associated steatotic liver disease and its incremental metabolic-hepatic assessment value: a hospital-based cross-sectional study.
Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly encountered in routine health examinations, where simple metabolic indices may help contextualize hepatic steatosis within broader cardiometabolic risk. The cholesterol-HDL-glucose (CHG) index integrates fasting glycemia and cholesterol-related information, but its association with prevalent MASLD and its incremental metabolic-hepatic assessment value in real-world health examination settings remain incompletely defined. Methods: We performed a cross-sectional analysis of an independent hospital-based analytic cohort comprising adults who underwent routine health examinations at the Health Examination Center of the Second Affiliated Hospital of Shandong First Medical University between 2024 and 2025. The final de-identified analytic dataset included 977 participants with complete questionnaire, anthropometric, laboratory, and abdominal ultrasonography data. The primary outcome was prevalent MASLD, operationally defined as ultrasonographic steatosis plus at least 1 cardiometabolic risk factor. We evaluated the association between CHG and prevalent MASLD using multivariable logistic regression, dose-response analyses, ROC comparisons with metabolic and steatosis-related indices, incremental model assessment, and sensitivity analyses. Results: The mean (SD) age was 44.13 (11.11) years, and 524 participants (53.6%) were men. MASLD was present in 343 participants (35.1%). Mean CHG was significantly higher in participants with MASLD than in those without MASLD [5.35 (0.22) vs 5.07 (0.25); Conclusions: Higher CHG was independently and dose-dependently associated with prevalent MASLD in adults undergoing hospital-based health examinations. CHG appears to capture a clinically relevant metabolic-hepatic signal, but the incremental gain beyond already strong clinical models is modest. Given the limited evidence supporting population-wide screening for steatosis alone, CHG should be interpreted as a low-cost adjunct for opportunistic metabolic-hepatic risk assessment rather than as a stand-alone diagnostic test or evidence sufficient for broad community MASLD screening. Prospective multicenter validation with longitudinal hepatic and cardiometabolic endpoints is warranted before CHG is adopted for risk-guided pathways.
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.