ArticlePancreas2016
Preoperative Computerized Tomography and Magnetic Resonance Imaging of the Pancreas Predicts Pancreatic Mass and Functional Outcomes After Total Pancreatectomy and Islet Autotransplant.
Article in Pancreas, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
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Who cites it
11 citing papers in PubMed, 32 citations in OpenAlex.
- Body Composition is Associated With Islet Function After Pancreatectomy and Islet Autotransplantation for Pancreatitis.The Journal of clinical endocrinology and metabolism · 2021Trial
- Article
- Predictors of Diabetes Outcomes at 1 Year After Islet Autotransplantation: Data From a Multicenter Cohort Study.Diabetes care · 2025Observational
- Relationship between imaging changes of the pancreas and islet beta-cell function.World journal of radiology · 2024Article
- Simplified technique in total pancreatectomy with islet cell autotransplantation after Frey's procedure: a case report.Surgical case reports · 2024Article
- Cross-sectional imaging of the pancreas in diabetes.Abdominal radiology (New York) · 2024Review
- Preoperative ERCP has no impact on islet yield following total pancreatectomy and islet autotransplantation (TPIAT): Results from the Prospective Observational Study of TPIAT (POST) cohort.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2021Observational
- Pancreatic Islet Transplantation in Humans: Recent Progress and Future Directions.Endocrine reviews · 2019Review
- Total pancreatectomy and islet autotransplantion for chronic and recurrent acute pancreatitis.Current opinion in gastroenterology · 2018Review
- Total Pancreatectomy With Islet Autotransplantation for Acute Recurrent and Chronic Pancreatitis.Current treatment options in gastroenterology · 2017Review
- Glycemic Predictors of Insulin Independence After Total Pancreatectomy With Islet Autotransplantation.The Journal of clinical endocrinology and metabolism · 2017Article
Corrections and comments
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Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
objectivesApproximately two thirds of patients will remain on insulin therapy after total pancreatectomy with islet autotransplant (TPIAT) for chronic pancreatitis. We investigated the relationship between measured pancreas volume on computerized tomography or magnetic resonance imaging and features of chronic pancreatitis on imaging, with subsequent islet isolation and diabetes outcomes.
methodsComputerized tomography or magnetic resonance imaging was reviewed for pancreas volume (Vitrea software) and presence or absence of calcifications, atrophy, and dilated pancreatic duct in 97 patients undergoing TPIAT. Relationship between these features and (1) islet mass isolated and (2) diabetes status at 1-year post-TPIAT were evaluated.
resultsPancreas volume correlated with islet mass measured as total islet equivalents (r = 0.50, P < 0.0001). Mean islet equivalents were reduced by more than half if any one of calcifications, atrophy, or ductal dilatation were observed. Pancreatic calcifications increased the odds of insulin dependence 4.0 fold (1.1, 15). Collectively, the pancreas volume and 3 imaging features strongly associated with 1-year insulin use (P = 0.07), islet graft failure (P = 0.003), hemoglobin A1c (P = 0.0004), fasting glucose (P = 0.027), and fasting C-peptide level (P = 0.008).
conclusionsMeasures of pancreatic parenchymal destruction on imaging, including smaller pancreas volume and calcifications, associate strongly with impaired islet mass and 1-year diabetes outcomes.
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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 OpenQuestion graph.