Evidence map›Paper›PMID 26925245›Full record

ReviewCanadian journal of kidney health and disease2016

Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.

Matthew T James, Charles E Hobson, Michael Darmon, Sumit Mohan, Darren Hudson, Stuart L Goldstein, Claudio Ronco, John A Kellum, Sean M Bagshaw, Acute Dialysis Quality Initiative (ADQI) Consensus Group

Open access · goldAbstract readReview
In one paragraph

Review in Canadian journal of kidney health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 3% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
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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

10 authors at 8 institutions in 4 countries.

Matthew T JamesDepartments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Charles E HobsonDepartment of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida.
Michael DarmonDepartment of Intensive Care Medicine, Saint-Etienne University Hospital, Saint-Priest-En-Jarez, France.
Sumit MohanDepartment of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY USA.
Darren HudsonDivision of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Stuart L GoldsteinDepartment of Pediatrics, Division of Pediatric Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA.
Claudio RoncoDepartment of Nephrology, Dialysis and Transplantation, International Renal Research Institute of Vicenza, San Bortolo Hospital, Vicenza, Italy.
John A KellumCenter for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA USA.
Sean M BagshawDivision of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Acute Dialysis Quality Initiative (ADQI) Consensus Group
University of Alberta · CACincinnati Children's Hospital Medical Center · USColumbia University Irving Medical Center · USInstitute Cancer De La Loire Lucien Neuwirth · FRInternational Renal Research Institute of Vicenza · ITUniversity of Calgary · CAUniversity of Florida · USUniversity of Pittsburgh · US

Funding

Mediators & prognostic value of muscle mass & function in chronic kidney diseaseK23DK097201 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2013 to 2017
$916k
NIDDK NIH HHS K23 DK097201
6 · The paper itself

Abstract

Electronic medical records and clinical information systems are increasingly used in hospitals and can be leveraged to improve recognition and care for acute kidney injury. This Acute Dialysis Quality Initiative (ADQI) workgroup was convened to develop consensus around principles for the design of automated AKI detection systems to produce real-time AKI alerts using electronic systems. AKI alerts were recognized by the workgroup as an opportunity to prompt earlier clinical evaluation, further testing and ultimately intervention, rather than as a diagnostic label. Workgroup members agreed with designing AKI alert systems to align with the existing KDIGO classification system, but recommended future work to further refine the appropriateness of AKI alerts and to link these alerts to actionable recommendations for AKI care. The consensus statements developed in this review can be used as a roadmap for development of future electronic applications for automated detection and reporting of AKI.

Indexed as

Acute kidney injuryClinical decision supportClinical informaticsDetection

Identifiers

PMID26925245
PMCPMC4768328
OpenAlexW2273979327

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.