ArticleScientific reports2021
Blood glucose-related indicators are associated with in-hospital mortality in critically ill patients with acute pancreatitis.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07233551 (Utilization of CBC-Derived Inflammatory Indices in Assessing Severity and Prognosis of Acute Pancreatitis.), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
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.
Utilization of CBC-Derived Inflammatory Indices in Assessing Severity and Prognosis of Acute Pancreatitis.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Predictive value of different glycemic variability indicators for prognosis in critically ill patients: a meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis.Frontiers in cellular and infection microbiology · 2022Trial
- Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts.BMC medical informatics and decision making · 2025Article
- Association Between Glycemic Variability and All-Cause Mortality in Patients with Acute Pancreatitis in the Intensive Care Unit: A Retrospective Analysis.Digestive diseases and sciences · 2025Article
- Propofol, Triglycerides, and Acute Pancreatitis: A Multicenter Epidemiologic Analysis.Annals of the American Thoracic Society · 2025Observational
- Prediction Models of Severity in Acute Biliary Pancreatitis.Diagnostics (Basel, Switzerland) · 2025Article
- Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis.Critical care explorations · 2024Review
- Clinical Outcomes of Diabetes Mellitus on Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis.Journal of inflammation research · 2024Article
- Ginsenoside RbPharmaceuticals (Basel, Switzerland) · 2023Article
- Predictive value of hyperglycemia on infection in critically ill patients with acute pancreatitis.Scientific reports · 2023Article
- Relationship between blood glucose levels and length of hospital stay in patients with acute pancreatitis: An analysis of MIMIC-III database.Clinical and translational science · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute pancreatitis (AP) results in potentially harmful blood glucose fluctuations, affecting patient prognosis. This study aimed to explore the relationship between blood glucose-related indicators and in-hospital mortality in critically ill patients with AP. We extracted data on AP patients from the Multiparameter Intelligent Monitoring in Intensive Care III database. Initial glucose (Glucose_initial), maximum glucose (Glucose_max), minimum glucose (Glucose_min), mean glucose (Glucose_mean), and glucose variability (glucose standard deviation [Glucose_SD] and glucose coefficient of variation [Glucose_CV]) were selected as blood glucose-related indicators. Logistic regression models and the Lowess smoothing curves were used to display the association between significant blood glucose-related indicators and in-hospital mortality. Survivors and non-survivors showed significant differences in Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV (P < 0.05). Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV were risk factors for in-hospital mortality in AP patients (OR > 1; P < 0.05). According to the Lowess smoothing curve, the overall trends of blood glucose-related indicators showed a non-linear correlation with in-hospital mortality. Glucose_max, Glucose_mean, Glucose_SD, and Glucose_CV were associated with in-hospital mortality in critically ill patients with AP.
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