Trial reportNature communications2023
A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes.
Trial report in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02771977 (Drug-Targeted Alerts for Acute Kidney Injury), which is not on this map. Cited by 27 papers, 3 of them syntheses 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.
Drug-Targeted Alerts for Acute Kidney Injury
Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The influence of electronic AKI alert on prognosis of adult hospitalized patients: a systematic review and meta-analysis.Critical care (London, England) · 2025Pooled it
- Effect of electronic alerts on the care and outcomes in patients with acute kidney injury: a meta-analysis and trial sequential analysis.BMC medicine · 2024Pooled it
- Electronic Alert Systems for Patients With Acute Kidney Injury: A Systematic Review and Meta-Analysis.JAMA network open · 2024Pooled it
- Early Nephrology Consultation and Acute Kidney Injury in Hospitalized Patients: A Randomized Clinical Trial.JAMA network open · 2026Trial
- Effect of opt-in versus opt-out framing on trial recruitment: a study within a trial of the GAMEPAD randomized trial.American heart journal · 2026Trial
- Non-linear association between AKI alert detection rate by physicians and medical costs.PloS one · 2025Trial
- Trial
- Underdocumentation of laboratory-defined acute kidney injury in internal medicine wards: a retrospective cohort study.Renal failure · 2026Article
- Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.Journal of the American College of Emergency Physicians open · 2026Article
- The impacts of angiotensin converting enzyme inhibitors and angiotensin receptor blockers on rates of acute kidney injury in hospitalized adults receiving multiple nephrotoxins.BMC nephrology · 2026Article
- The global epidemiology of acute kidney injury: challenges and opportunities.Nature reviews. Nephrology · 2026Review
- Artificial Intelligence in Critical Care Nephrology: Current Applications, Emerging Techniques, and Challenges to Clinical Integration.Kidney360 · 2026Review
- Transforming nephrology through artificial intelligence: a state-of-the-art roadmap for clinical integration.Clinical kidney journal · 2026Review
- How to Leverage Implementation Science to Achieve Equity in Nephrology Care Delivery.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025Article
- A qualitative study of nephrologists' perspectives on implementing a nephrology rapid response model for acute kidney injury.BMC nephrology · 2025Article
- Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Acute Kidney Injury Provider and Survivor Education: Current and Emerging Tools.Advances in kidney disease and health · 2025Review
- The early warning paradox.NPJ digital medicine · 2025Article
- Effect of Tiered Implementation of Clinical Decision Support System for Acute Kidney Injury and Nephrotoxin Exposure in Cardiac Surgery Patients.Applied clinical informatics · 2025Article
- Assessments of Generative Artificial Intelligence as Clinical Decision Support Ought to be Incorporated Into Randomized Controlled Trials of Electronic Alerts for Acute Kidney Injury.Mayo Clinic proceedings. Digital health · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Acute kidney injury is common among hospitalized individuals, particularly those exposed to certain medications, and is associated with substantial morbidity and mortality. In a pragmatic, open-label, National Institutes of Health-funded, parallel group randomized controlled trial (clinicaltrials.gov NCT02771977), we investigate whether an automated clinical decision support system affects discontinuation rates of potentially nephrotoxic medications and improves outcomes in patients with AKI. Participants included 5060 hospitalized adults with AKI and an active order for any of three classes of medications of interest: non-steroidal anti-inflammatory drugs, renin-angiotensin-aldosterone system inhibitors, or proton pump inhibitors. Within 24 hours of randomization, a medication of interest was discontinued in 61.1% of the alert group versus 55.9% of the usual care group (relative risk 1.08, 1.04 - 1.14, p = 0.0003). The primary outcome - a composite of progression of acute kidney injury, dialysis, or death within 14 days - occurred in 585 (23.1%) of individuals in the alert group and 639 (25.3%) of patients in the usual care group (RR 0.92, 0.83 - 1.01, p = 0.09). Trial Registration Clinicaltrials.gov NCT02771977.
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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.