ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2020
Machine Learning to Predict Acute Kidney Injury.
Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy.BMC nephrology · 2022Pooled it
- Multicenter validation of a machine learning model for predicting intrapartum high fever in parturients receiving labor analgesia.Frontiers in medicine · 2026Article
- Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification.Journal of the American Society of Nephrology : JASN · 2025Article
- Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes.NPJ digital medicine · 2025Article
- Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.Scientific reports · 2025Article
- Article
- Predicting in-hospital outcomes of patients with acute kidney injury.Nature communications · 2023Article
- Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.Renal failure · 2022Article
- A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients.Journal of clinical medicine · 2022Article
- Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry.Metabolites · 2021Article
- Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation.Journal of medical Internet research · 2021Article
- Artificial intelligence in the management and treatment of burns: a systematic review.Burns & trauma · 2021Article
- Artificial Intelligence in Acute Kidney Injury Risk Prediction.Journal of clinical medicine · 2020Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
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.