ArticleJournal of inflammation research2021
Dynamic Nomogram for Predicting Thrombocytopenia in Adults with Acute Pancreatitis.
Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Application and impact of Lasso regression in gastroenterology: A systematic review.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023Pooled it
- Development and Validation of a Nomogram Model for Severe Acute Pancreatitis Risk Stratification: A Retrospective Cohort Study.Current medical science · 2026Article
- Dynamic Assessment of Modified EASIX (m-EASIX) at 48 Hours Predicts Adverse Outcomes in Acute Pancreatitis: A Propensity Score-Matched Study.Medicina (Kaunas, Lithuania) · 2026Article
- Characteristics and risk factors for thrombocytopenia in malignancy patients with pulmonary embolism: a case control study.BMC pulmonary medicine · 2025Article
- A risk nomogram for 30-day mortality in Chinese patients with acute pancreatitis using LASSO-logistic regression.Scientific reports · 2025Article
- Molecular mechanisms and therapeutic targets in glioblastoma multiforme: network and single-cell analyses.Scientific reports · 2025Article
- Clinical significance of reactive thrombocytosis in the course of acute pancreatitis.BMC gastroenterology · 2023Article
- Dynamic Nomogram for Predicting Long-Term Survival in Terms of Preoperative and Postoperative Radiotherapy Benefits for Advanced Gastric Cancer.International journal of environmental research and public health · 2023Article
- Dynamic Nomogram for Subsyndromal Delirium in Adult Intensive Care Unit: A Prospective Cohort Study.Neuropsychiatric disease and treatment · 2023Article
- Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study.Frontiers in neurology · 2022Article
- A prediction model for acute respiratory distress syndrome among patients with severe acute pancreatitis: a retrospective analysis.Therapeutic advances in respiratory diseaseArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThrombocytopenia increases the risk of hemorrhage in patients with acute pancreatitis (AP), leading to poor clinical outcomes. Currently, there is no reliable tool for the early assessment of thrombocytopenia in these patients. We aimed to develop a nomogram based on available clinical parameters and validate its efficacy in predicting thrombocytopenia.
methodsThis was a retrospective study. All the data were extracted from an electronic database from May 2018 to May 2019. Patients with a diagnosis of AP and staying in the intensive care unit for more than 3 days were retrospectively analyzed. A clinical signature was built based on reproducible features, using the least absolute shrinkage and selection operator method (LASSO), and logistic regression established the model (P < 0.05). Nomogram performance was determined by its discrimination, calibration, and clinical usefulness.
resultsA total of 594 eligible patients were enrolled, of whom 399 were allocated to the training sets and the 195 in the test sets. The clinical features, including blood urea nitrogen (BUN), fibrinogen (FIB), and antithrombase III, were significantly associated with the incidence of thrombocytopenia after acute pancreatitis (p < 0.05) in training sets. The individualized nomogram showed good discrimination in the training sample (area under the receiver operating characteristic curve [AUC], 0.881) and in the validation sample (AUC, 0.883) with good calibration.
conclusionThe proposed nomogram has good performance for predicting thrombocytopenia in patients with acute pancreatitis and may facilitate clinical decision-making.
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