ArticlePancreas
Identification of a Risk Profile for New-Onset Diabetes After Acute Pancreatitis.
Article in Pancreas. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Risk factors for diabetes mellitus after acute pancreatitis: a systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Approach to the Patient With Pancreatogenic Diabetes.The Journal of clinical endocrinology and metabolism · 2026Review
- Differences in clinical features and prognosis between hypertriglyceridemia and other causes of acute pancreatitis: a dual perspective based on metabolic disorders and inflammatory response.Frontiers in endocrinology · 2026Article
- The Metabolic Legacy of Acute Pancreatitis: Post-Pancreatitis Diabetes Mellitus.Clinical and experimental gastroenterology · 2026Review
- Machine learning models for predicting new-onset diabetes following acute pancreatitis using real-world data.BMJ public health · 2026Article
- Individualized prediction of post-acute pancreatitis diabetes mellitus by combining lipid metabolism and anatomical features.Insights into imaging · 2025Article
- Use of hybrid closed-loop insulin pump in pancreatogenic diabetes following necrotizing hemorrhagic pancreatitis: a case report.Frontiers in clinical diabetes and healthcare · 2025Article
- Diabetes as a consequence of acute pancreatitis.World journal of gastroenterology · 2023Review
- How to Identify the Indications for Early Intervention in Acute Necrotizing Pancreatitis Patients: A Long-Term Follow-Up Study.Frontiers in surgery · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThere is a paucity of studies evaluating predictors of new-onset diabetes mellitus (DM) after acute pancreatitis (AP-related DM). We used a population-based database to evaluate predictors of AP-related DM.
methodsThe Nationwide Readmissions Database (2010-2014) was used to identify all nondiabetic adults with an index primary diagnosis of AP. Multiple exclusions were applied to identify cohorts with and without AP-related DM. A case-control study was conducted to identify risk factors for developing AP-related DM within the calendar year.
resultsWe identified 2510 subjects with AP-related DM and 40,308 controls with AP who did not develop DM. Multivariable analysis revealed that increasing age (50-64 years; adjusted odds ratio [aOR], 1.35; 95% confidence interval [CI], 1.14-1.60), male sex (aOR, 1.2; 95% CI, 1.03-1.40), lowest income quartile (aOR, 1.48; 95% CI, 1.18-1.84), Elixhauser comorbidity index of 3 or higher (aOR, 1.47; 95% CI, 1.23-1.75), components of metabolic syndrome (aOR, 2.12; 95% CI, 1.21-3.70), severe AP (aOR, 1.60; 95% CI, 1.34-1.90), and recurrent AP (aOR, 1.46; 95% CI, 1.24-1.72) were independently associated with increased risk of AP-related DM.
conclusionsThese population-level variables predictive of developing AP-related DM can potentially identify patients who may benefit from closer follow-up, intensive education, and implementation of preventative strategies.
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