Evidence map›Paper›PMID 33461986›Full record

Trial reportBMJ (Clinical research ed.)2021

Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial.

F Perry Wilson, Melissa Martin, Yu Yamamoto, Caitlin Partridge, Erica Moreira, Tanima Arora, Aditya Biswas, Harold Feldman, Amit X Garg, Jason H Greenberg and 11 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ (Clinical research ed.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02753751 (Optimizing Electronic Alerts for Acute Kidney Injury), which is not on this map. Cited by 100 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT02753751 nacompletednot on this map

Optimizing Electronic Alerts for Acute Kidney Injury

TypeinterventionalSponsorYale UniversityRan2018 to 2020Enrolled6,030ConditionsAcute Kidney InjuryArmsAKI Alert
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  9. Predictive Value of Anion Gap for Acute Kidney Injury Progression and Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025
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40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

F Perry WilsonDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA francis.p.wilson@yale.edu.ORCID 0000-0002-2633-2412
Melissa MartinDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Yu YamamotoDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Caitlin PartridgeJoint Data Analytics Team, Yale School of Medicine, New Haven, CT, USA.
Erica MoreiraJoint Data Analytics Team, Yale School of Medicine, New Haven, CT, USA.
Tanima AroraDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Aditya BiswasDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Harold FeldmanDepartment of Epidemiology and Biostatistics and the Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Amit X GargDepartment of Epidemiology and Biostatistics and Department of Medicine, Division of Nephrology, Schulich School of Medicine & Dentistry, Western University, ON, Canada.
Jason H GreenbergClinical and Translational Research Accelerator, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Monique HinchcliffDepartment of Medicine, Section of Rheumatology, Allergy and Immunology, Yale University School of Medicine, New Haven, CT, USA.
Stephen LathamYale Interdisciplinary Center for Bioethics, Yale Law School, New Haven, CT, USA.
Fan LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Haiqun LinRutgers University Biomedical and Health Sciences, Newark, NJ, USA.
Sherry G MansourDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Dennis G MoledinaDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.
Paul M PalevskyMedicine and Clinical & Translational Science, University of Pittsburgh School of Medicine and Renal Section, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Chirag R ParikhDepartment of Medicine, Division of Nephrology, John Hopkins Medicine, Baltimore, MD, USA.
Michael SimonovClinical and Translational Research Accelerator, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
Jeffrey TestaniDepartment of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.
Ugochukwu UgwuowoDepartment of Medicine, Section of Nephrology, Yale University School of Medicine, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 2008 to 2022
$16.8M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Identification of Non-Invasive Biomarkers and Indices for Diagnosis of Drug-Induced Acute Interstitial NephritisK23DK117065 · NIDDK · YALE UNIVERSITY · PI MOLEDINA, DENNIS G. · 2018 to 2022
$920k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK117065NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK113191NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

objectiveTo determine whether electronic health record alerts for acute kidney injury would improve patient outcomes of mortality, dialysis, and progression of acute kidney injury.

designDouble blinded, multicenter, parallel, randomized controlled trial.

settingSix hospitals (four teaching and two non-teaching) in the Yale New Haven Health System in Connecticut and Rhode Island, US, ranging from small community hospitals to large tertiary care centers.

participants6030 adult inpatients with acute kidney injury, as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) creatinine criteria.

interventionsAn electronic health record based "pop-up" alert for acute kidney injury with an associated acute kidney injury order set upon provider opening of the patient's medical record.

main outcome measuresA composite of progression of acute kidney injury, receipt of dialysis, or death within 14 days of randomization. Prespecified secondary outcomes included outcomes at each hospital and frequency of various care practices for acute kidney injury.

results6030 patients were randomized over 22 months. The primary outcome occurred in 653 (21.3%) of 3059 patients with an alert and in 622 (20.9%) of 2971 patients receiving usual care (relative risk 1.02, 95% confidence interval 0.93 to 1.13, P=0.67). Analysis by each hospital showed worse outcomes in the two non-teaching hospitals (n=765, 13%), where alerts were associated with a higher risk of the primary outcome (relative risk 1.49, 95% confidence interval 1.12 to 1.98, P=0.006). More deaths occurred at these centers (15.6% in the alert group

conclusionsAlerts did not reduce the risk of our primary outcome among patients in hospital with acute kidney injury. The heterogeneity of effect across clinical centers should lead to a re-evaluation of existing alerting systems for acute kidney injury.

trial registrationClinicalTrials.gov NCT02753751.

Indexed as

Acute Kidney InjuryAgedAged, 80 and overDisease ProgressionDouble-Blind MethodElectronic Health RecordsFemaleHumansMaleMedical Records Systems, ComputerizedMiddle AgedRenal DialysisTreatment Outcome

Identifiers

PMID33461986
PMCPMC8034420

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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.