Evidence map›Paper›PMID 32294894›Full record

ArticleJournal of clinical medicine2020

Diagnostics, Risk Factors, Treatment and Outcomes of Acute Kidney Injury in a New Paradigm.

Charat Thongprayoon, Panupong Hansrivijit, Karthik Kovvuru, Swetha R Kanduri, Aldo Torres-Ortiz, Prakrati Acharya, Maria L Gonzalez-Suarez, Wisit Kaewput, Tarun Bathini, Wisit Cheungpasitporn

Open access · goldAbstract readEditorial
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
7.5field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  3. Long-term risks of adverse kidney outcomes after acute kidney injury: a systematic review and meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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  7. Predictive Value of Anion Gap for Acute Kidney Injury Progression and Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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 7 institutions in 2 countries.

Charat ThongprayoonDivision of Nephrology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Panupong HansrivijitDepartment of Internal Medicine, University of Pittsburgh Medical Center Pinnacle, Harrisburg, PA 17105, USA.
Karthik KovvuruDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Swetha R KanduriDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Aldo Torres-OrtizDepartment of Medicine, Ochsner Medical Center, New Orleans, LA 70121, USA.
Prakrati AcharyaDivision of Nephrology, Department of Medicine, Texas Tech University Health Sciences Center, El Paso, TX 79905, USA.
Maria L Gonzalez-SuarezDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Wisit KaewputDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok 10400, Thailand.
Tarun BathiniDepartment of Internal Medicine, University of Arizona, Tucson, AZ 85724, USA.
Wisit CheungpasitpornDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
University of Mississippi Medical Center · USMayo Clinic in Arizona · USOchsner Medical Center · USPhramongkutklao Hospital · THTexas Tech University · USUniversity of Arizona · USUPMC Central Pa · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI GOMEZ-SANCHEZ, CELSO ENRIQUE · 2016 to 2025
$38.2M
NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common clinical condition among patients admitted in the hospitals. The condition is associated with both increased short-term and long-term mortality. With the development of a standardized definition for AKI and the acknowledgment of the impact of AKI on patient outcomes, there has been increased recognition of AKI. Two advances from past decades, the usage of computer decision support and the discovery of AKI biomarkers, have the ability to advance the diagnostic method to and further management of AKI. The increasingly widespread use of electronic health records across hospitals has substantially increased the amount of data available to investigators and has shown promise in advancing AKI research. In addition, progress in the finding and validation of different forms of biomarkers of AKI within diversified clinical environments and has provided information and insight on testing, etiology and further prognosis of AKI, leading to future of precision and personalized approach to AKI management. In this this article, we discussed the changing paradigms in AKI: from mechanisms to diagnostics, risk factors, and management of AKI.

Indexed as

acute kidney injuryacute renal failurebiomarkerscritical carepredictorsrenal replacement therapyrisk factors outcomes

Identifiers

PMID32294894
PMCPMC7230860
OpenAlexW3015744298

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.