Evidence map›Paper›PMID 33044239›Full record

ReviewCurrent opinion in critical care2020

Identification of acute kidney injury subphenotypes.

Zoltan H Endre, Ravindra L Mehta

Abstract readReview
In one paragraph

Review in Current opinion in critical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. 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
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Acute kidney injury.Intensive care medicine · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Interpretable Sub-phenotype Identification in Acute Kidney Injury.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  12. Article
  13. Biomarkers of acute kidney injury: time to learn from implementations.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
    Article
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

2 authors.

Zoltan H EndreDepartment of Nephrology, Prince of Wales Hospital and Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Ravindra L MehtaDivision of Nephrology, Department of Medicine, University of California San Diego, San Diego, California, USA.

Funding

UAB-UCSD O'Brien Core Center for Acute Kidney Injury ResearchP30DK079337 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AGARWAL, ANUPAM · 2008 to 2022
$18.3M
NIDDK NIH HHS P30 DK079337
6 · The paper itself

Abstract

purpose of reviewAKI is a complex clinical syndrome with many causes and there is a broad range of clinical presentations that vary according to duration, severity and context. Established consensus definitions of AKI are nonspecific and limited to kidney function. This reduces treatment options to generic approaches rather than individualized, cause-based strategies that have limited both understanding and management of AKI. RECENT

findingsThe context and the temporal phase of kidney injury are critical features in the course of AKI and critical to timing-relevant intervention. These features are missing in generic definitions and terms used to describe AKI. Subphenotypes of AKI can be identified from novel damage biomarkers, from functional changes including creatinine trajectories, from the duration of change and from associated clinical characteristics and comorbidities. Subphenotype parameters can be combined in risk scores, or by association strategies ranging from a simple function-damage matrix to complex methods, such as machine learning. Examples of such strategies are reviewed along with tentative proposals for a revised nomenclature to facilitate description of AKI subphenotypes. SUMMARY: Appropriate intervention requires refinement of the nomenclature of AKI to identify subphenotypes that facilitate correctly timed and selectively targeted intervention.

Indexed as

Acute Kidney InjuryBiomarkersCreatinineHumansBiomarkersCreatinine

Identifiers

PMID33044239
PMCPMC8168924

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.