Evidence map›Paper›PMID 33799741›Full record

ReviewJournal of clinical medicine2021

Determinants of Outcomes of Acute Kidney Injury: Clinical Predictors and Beyond.

Emaad M Abdel-Rahman, Faruk Turgut, Jitendra K Gautam, Samir C Gautam

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. 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. Observational
  2. Article
  3. Temporal Recurrent Neural Networks for Predicting Acute Kidney Injury Recovery by Time of Discharge.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. Article
  5. Article
  6. Acute Kidney Injury in Autoimmune-Mediated Rheumatic Diseases.Journal of clinical medicine research · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

4 authors.

Emaad M Abdel-RahmanDivision of Nephrology, University of Virginia, Charlottesville, VA 22908, USA.
Faruk TurgutInternal Medicine/Nephrology, Faculty of Medicine, Mustafa Kemal University, Antakya/Hatay 31100, Turkey.ORCID 0000-0003-1910-7433
Jitendra K GautamDivision of Nephrology, University of Virginia, Charlottesville, VA 22908, USA.ORCID 0000-0001-8321-6410
Samir C GautamJohns Hopkins School of Medicine, Baltimore, MD 21218, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common clinical syndrome characterized by rapid impairment of kidney function. The incidence of AKI and its severe form AKI requiring dialysis (AKI-D) has been increasing over the years. AKI etiology may be multifactorial and is substantially associated with increased morbidity and mortality. The outcome of AKI-D can vary from partial or complete recovery to transitioning to chronic kidney disease, end stage kidney disease, or even death. Predicting outcomes of patients with AKI is crucial as it may allow clinicians to guide policy regarding adequate management of this problem and offer the best long-term options to their patients in advance. In this manuscript, we will review the current evidence regarding the determinants of AKI outcomes, focusing on AKI-D.

Indexed as

acute kidney injurybiomarkersmortalityrecovery

Identifiers

PMID33799741
PMCPMC7999959

What Socratic 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 Socratic graph.