Evidence map›Paper›PMID 31725154›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2020

The impact of biomarkers of acute kidney injury on individual patient care.

Jay L Koyner, Alexander Zarbock, Rajit K Basu, Claudio Ronco

Abstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Time Course of Kidney Injury Biomarkers in Children With Septic Shock: Nested Cohort Study Within the Pragmatic Pediatric Trial of Balanced Versus Normal Saline Fluid in Sepsis Trial.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
    Trial
  4. Article
  5. 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
  6. Article
  7. Plasma NGAL levels in stable kidney transplant recipients and the risk of allograft loss.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Observational
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Subclinical Acute Kidney Injury Is Acute Kidney Injury and Should Not Be Ignored.American journal of respiratory and critical care medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jay L KoynerSection of Nephrology, Department of Medicine, University of Chicago, Chicago, IL, USA.
Alexander ZarbockDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Rajit K BasuDivision of Critical Care Medicine, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Claudio RoncoDepartment of Medicine, University of Padova, International Renal Research Institute (IRRIV), San Bortolo Hospital, Vicenza, Italy.

Funding

An Early Real-Time Electronic Health Record Risk Algorithm for the Prevention and Treatment of Acute Kidney Injury: A Randomized Trial of an Early Standardized, Personalized Nephrology InterventionR21DK113420 · NIDDK · UNIVERSITY OF CHICAGO · PI KOYNER, JAY L · 2018 to 2019
$446k
NIDDK NIH HHS R21 DK113420
6 · The paper itself

Abstract

Acute kidney injury (AKI) remains a common clinical syndrome associated with increased morbidity and mortality. In the last several years there have been several advances in the identification of patients at increased risk for AKI through the use of traditional and newer functional and damage biomarkers of AKI. This article will specifically focus on the impact of biomarkers of AKI on individual patient care, focusing predominantly on the markers with the most expansive breadth of study in patients and reported literature evidence. Several studies have demonstrated that close monitoring of widely available biomarkers such as serum creatinine and urine output is strongly associated with improved patient outcomes. An integrated approach to these biomarkers used in context with patient risk factors (identifiable using electronic health record monitoring) and with tests of renal reserve may guide implementation and targeting of care bundles to optimize patient care. Besides traditional functional markers, biochemical injury biomarkers have been increasingly utilized in clinical trials both as a measure of kidney injury as well as a trigger to initiate other treatment options (e.g. care bundles and novel therapies). As the novel measures are becoming globally available, the clinical implementation of hospital-based real-time biomarker measurements involves a multidisciplinary approach. This literature review discusses the data evidence supporting both the strengths and limitations in the clinical implementation of biomarkers based on the authors' collective clinical experiences and opinions.

Indexed as

Precision MedicineAcute Kidney InjuryBiomarkersHumansPatient CareBiomarkersacute kidney injurybiomarkerpatient outcomerenal replacement therapy

Identifiers

PMID31725154
PMCPMC7828472

What OpenQuestion holds

Textmetadata
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.