Evidence map›Paper›PMID 36370326›Full record

ReviewNephrology (Carlton, Vic.)2023

Definitions, phenotypes, and subphenotypes in acute kidney injury-Moving towards precision medicine.

Camila Eleuterio Rodrigues, Zoltán H Endre

Abstract readReview
In one paragraph

Review in Nephrology (Carlton, Vic.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Persistent severe AKI is bad-where to go now?Intensive care medicine · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
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.

Camila Eleuterio RodriguesNephrology Department, Prince of Wales Clinical School - UNSW Medicine, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0562-0893
Zoltán H EndreNephrology Department, Prince of Wales Clinical School - UNSW Medicine, Sydney, New South Wales, Australia.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2019/19631-7Prince of Wales Hospital and Lewis Foundations
6 · The paper itself

Abstract

The current definition of acute kidney injury (AKI) is generic and, based only on markers of function, is unsuitable for guiding individualized treatment. AKI is a complex syndrome with multiple presentations and causes. Targeted AKI management will only be possible if different phenotypes and subphenotypes of AKI are recognised, based on causation and related pathophysiology. Molecular signatures to identify subphenotypes are being recognised, as specific biomarkers reveal activated pathways. Assessment of individual clinical risk needs wider dissemination to allow identification of patients at high risk of AKI. New and more timely markers for glomerular filtration rate (GFR) are available. However, AKI diagnosis and classification should not be limited to GFR, but include tubular function and damage. Combining damage and stress biomarkers with functional markers enhances risk prediction, and identifies a population enriched for clinical trials targeting AKI. We review novel developments and aim to encourage implementation of these new techniques into clinical practice as a strategy for individualizing AKI treatment akin to a precision medicine-based approach.

Indexed as

Acute Kidney InjuryPrecision MedicineBiomarkersCreatinineHumansPhenotypeBiomarkersCreatinineacute renal failurecausesclassificationpathophysiologyphenotype

Identifiers

PMID36370326
PMCPMC10100386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.