Evidence map›Paper›PMID 35986336›Full record

ReviewCritical care (London, England)2022

Subphenotypes in acute kidney injury: a narrative review.

Suvi T Vaara, Pavan K Bhatraju, Natalja L Stanski, Blaithin A McMahon, Kathleen Liu, Michael Joannidis, Sean M Bagshaw

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 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.

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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Electronic Phenotype for Detection, Staging, and Subtyping of Acute Kidney Injury.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Suvi T VaaraDivision of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, Meilahti Hospital, University of Helsinki and Helsinki University Hospital, PO Box 340, 00290, Helsinki, Finland. suvi.vaara@helsinki.fi.ORCID 0000-0002-6851-3828
Pavan K BhatrajuDivision of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, USA.
Natalja L StanskiDivision of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA.
Blaithin A McMahonDivision of Nephrology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Kathleen LiuDivisions of Nephrology and Critical Care, Departments of Medicine and Anesthesia, University of California, San Francisco, USA.
Michael JoannidisDivision of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
The Assessment of Acute Kidney Injury Sub-phenotypes in the Intensive Care UnitK23DK116967 · NIDDK · UNIVERSITY OF WASHINGTON · PI BHATRAJU, PAVAN KUMAR · 2019 to 2023
$938k
National center for Advancing Translation Sciences of the National Institutes of Health UL1TR001425NCATS NIH HHS UL1 TR001425NIDDK NIH HHS K23 DK116967
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a frequently encountered syndrome especially among the critically ill. Current diagnosis of AKI is based on acute deterioration of kidney function, indicated by an increase in creatinine and/or reduced urine output. However, this syndromic definition encompasses a wide variety of distinct clinical features, varying pathophysiology, etiology and risk factors, and finally very different short- and long-term outcomes. Lumping all AKI together may conceal unique pathophysiologic processes specific to certain AKI populations, and discovering these AKI subphenotypes might help to develop targeted therapies tackling unique pathophysiological processes. In this review, we discuss the concept of AKI subphenotypes, current knowledge regarding both clinical and biomarker-driven subphenotypes, interplay with AKI subphenotypes and other ICU syndromes, and potential future and clinical implications.

Indexed as

Acute Kidney InjuryBiomarkersCreatinineCritical IllnessHumansRisk FactorsBiomarkersCreatinineAcute kidney injuryBiomarkersCritically illHeterogeneityLatent class analysisSubphenotypes

Identifiers

PMID35986336
PMCPMC9389711

What OpenQuestion holds

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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.