ArticleFrontiers in surgery2026
The association between inflammatory indices and acute pancreatitis severity: a retrospective cohort study.
Article in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Diagnostic Performance of the Uric Acid-To-Albumin Ratio in Predicting Severity of Acute Pancreatitis.JGH open : an open access journal of gastroenterology and hepatology · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute pancreatitis (AP) is a heterogeneous inflammatory disease, with ∼20% of patients progressing to moderate-to-severe (MSAP) or severe AP (SAP), conditions associated with high mortality. Early risk stratification is therefore critical. This study systematically evaluated and compared 12 inflammatory biomarkers for predicting AP severity. Methods: This retrospective cohort included 1,981 hospitalized AP patients (January 2018-December 2023). According to the revised Atlanta criteria, patients were classified into mild AP (MAP, Results: In the fully adjusted model, nine biomarkers were significantly associated with MSAP/SAP risk: MLR (OR = 1.29, 95%CI: 1.15-1.45), LMR (OR = 0.75, 95%CI: 0.66-0.85), CAR (OR = 3.82, 95%CI: 3.18-4.64), CALLY (OR = 0.56, 95%CI: 0.49-0.64), CCR (OR = 4.84, 95%CI: 3.98-5.96), CLR (OR = 2.12, 95%CI: 1.84-2.46), RDW/Alb (OR = 1.74, 95%CI: 1.54-1.99), NAR (OR = 1.44, 95%CI: 1.27-1.64), and SIRI (OR = 1.29, 95%CI: 1.15-1.46). CCR demonstrated the highest observed accuracy (AUC = 0.768, 95%CI: 0.737-0.799). Threshold effect analysis revealed a nonlinear association, with an inflection point at 15: no significant association was observed below this threshold (OR = 1.015, Conclusion: Among 12 inflammatory biomarkers, CCR showed the strongest predictive value for MSAP/SAP, with a critical threshold of 15. As an easily obtainable marker, CCR may serve as a practical early warning tool to guide clinical management and risk stratification in AP.
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