ArticleWorld journal of diabetes2025
Association between Zhejiang University index and metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus.
Article in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Association between ZJU index and glycemic outcomes in individuals with impaired fasting glucose: a retrospective multicenter Chinese cohort study.Frontiers in endocrinology · 2026Article
- Zhejiang University index predicts metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients.World journal of diabetes · 2025Article
- From fatty liver indices to the Zhejiang University index: Re-shaping risk stratification of metabolic liver disease in diabetes.World journal of diabetes · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Zhejiang University (ZJU) index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease (MASLD) within Chinese populations. However, the correlation between the ZJU index and MASLD in type 2 diabetes mellitus (T2DM) patients remains to be elucidated.
aimTo investigate the association between the ZJU index and MASLD among patients with T2DM.
methodsThis cross-sectional study was conducted on hospitalised patients diagnosed with T2DM. Anthropometric measurements, laboratory data, and ultrasound results were initially collected from all patients. The ZJU index was subsequently calculated. Regression analysis was then used to explore risk factors affecting MASLD, and the optimal ZJU index cut-off value for diagnosing MASLD was determined using restricted cubic spline analysis. Finally, a new model for predicting MASLD in T2DM patients based on the ZJU index was constructed. This model was based on the risk factors identified by regression analysis, and the area under curve values were calculated. The validity and reliability of the models were then compared with each other.
resultsA total of 688 patients with T2DM were included in this study. A significant positive correlation was identified between the ZJU index and the development of MASLD. Furthermore, the results of the restricted cubic spline analysis showed a non-linear association between ZJU index and MASLD. The ZJU value of 38.87 was identified as the key threshold for diagnosing MASLD. The new predictive model, which was developed by regression analysis, demonstrated a higher diagnostic value for MASLD and exhibited good accuracy in comparison with metabolic indices alone (area under curve = 0.76, 95% confidence interval: 0.72-0.80).
conclusionThe ZJU index has been shown to be linked to the risk of developing MASLD, and the new model constructed has been shown to possess good predictive value.
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.