ArticleFrontiers in bioengineering and biotechnology2020
Classification of Infected Necrotizing Pancreatitis for Surgery Within or Beyond 4 Weeks Using Machine Learning.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
- Using machine learning models to predict acute pancreatitis in children with pancreaticobiliary maljunction.Surgery today · 2023Trial
- Artificial intelligence in pancreatitis: A narrative review on advancing precision diagnosis, prognosis, and therapeutic strategies.World journal of gastroenterology · 2025Review
- Prediction of infected pancreatic necrosis in patients with acute necrotizing pancreatitis based on ensemble machine learning model.World journal of emergency surgery : WJES · 2025Article
- Endoscopic management of infected necrotizing pancreatitis: Advancing through standardization.World journal of gastroenterology · 2025Review
- AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review.Medicina (Kaunas, Lithuania) · 2025Review
- Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis.European journal of medical research · 2025Article
- Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosis.EClinicalMedicine · 2025Article
- A deep learning-powered diagnostic model for acute pancreatitis.BMC medical imaging · 2024Article
- Advances in the clinical application of machine learning in acute pancreatitis: a review.Frontiers in medicine · 2024Review
- Machine learning perioperative applications in visceral surgery: a narrative review.Frontiers in surgery · 2024Review
- Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study.Journal of medical Internet research · 2023Article
- Machine learning improves prediction of severity and outcomes of acute pancreatitis: a prospective multi-center cohort study.Science China. Life sciences · 2023Article
- Prediction of post-operative acute pancreatitis in children with pancreaticobiliary maljunction using machine learning model.Pediatric surgery international · 2023Article
- Machine learning in pancreas surgery, what is new? literature review.Frontiers in surgery · 2023Review
- Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning.Journal of personalized medicine · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.