ArticleFrontiers in medicine2025
Visceral obesity anthropometric indicators as predictors of acute pancreatitis severity.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Investigating the role of lncRNA SNHG14 in early diagnosis and prognosis of acute pancreatitis: a bioinformatics exploration.Hereditas · 2026Article
- The association between inflammatory indices and acute pancreatitis severity: a retrospective cohort study.Frontiers in surgery · 2026Article
- Construction of a nomogram for hypertriglyceridemic severe acute pancreatitis that includes metabolic indexes.Lipids in health and disease · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute pancreatitis (AP) severity assessment upon admission is crucial for prognosis, yet existing clinical scoring systems have limitations like delayed results, complexity, or low sensitivity. Obesity correlates with AP severity, but traditional body mass index (BMI) fails to accurately reflect visceral fat distribution. Although anthropometric indicators for visceral obesity offer alternatives, their predictive value for AP severity across all etiologies is poorly studied. Methods: This retrospective cohort study analyzed 629 AP patients admitted to a tertiary hospital (2016-2023). Patients were classified as mild AP (MAP, Results: Nine anthropometric indicators [waist circumference, body roundness index, BMI, conicity index, lipid accumulation products (LAP), waist triglyceride index (WTI), cardiometabolic index (CMI), visceral adiposity index (VAI), chinese visceral adiposity index] and all clinical scoring systems (Ranson score, Glasgow score, SIRS, BISAP, APACHE II, JSS) significantly differed between MAP and MSAP/SAP groups ( Conclusion: VAI, CMI, LAP, and WTI are independent predictors of AP severity, with VAI showing the highest individual predictive capability among them. The XGBoost model, incorporating VAI and routinely available clinical variables, achieved excellent performance (AUC = 0.878) for early severity assessment, offering a potentially rapid and cost-effective clinical tool. This supports the utility of visceral obesity anthropometric indicators and ML models for improving early risk stratification in AP.
Indexed as
Identifiers
What Socratic 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 Socratic graph.