ArticleMilitary Medical Research2024
A prediction model for moderate to severe acute kidney injury in people with heart failure.
Article in Military Medical Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Identification of Risk Factors and Prediction Models for Acute Kidney Injury in Hospitalized Elderly Patients with Heart Failure.Clinical interventions in aging · 2026Article
- Application of machine learning models for predicting risk factors of acute exacerbations in chronic obstructive pulmonary disease.Frontiers in medicine · 2026Article
- Development of a machine learning-based prediction model for acute kidney injury associated with respiratory failure in the intensive care unit.Clinical and experimental medicine · 2025Article
- TyG-BMI index as a valuable risk of acute kidney injury in patients with heart failure: Insights from the MIMIC-IV and eICU cohorts.Journal of diabetes investigation · 2025Article
- A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database.BMC cardiovascular disorders · 2025Article
Corrections and comments
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Authors and funding
22 authors.
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Abstract
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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.