Evidence map›Paper›PMID 30742783›Full record

ReviewAnnual review of physiology2019

Biomarkers of Acute and Chronic Kidney Disease.

William R Zhang, Chirag R Parikh

Abstract readReview
In one paragraph

Review in Annual review of physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 3 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

165 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Urinary Biomarkers and Kidney Injury in VA NEPHRON-D: Phenotyping Acute Kidney Injury in Clinical Trials.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Pooled it
  3. Pooled it
  4. Association of Urine Biomarkers of Kidney Tubule Injury and Dysfunction With Frailty Index and Cognitive Function in Persons With CKD in SPRINT.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Trial
  5. Article
  6. A Facial Foundation Model for Clinical Biomarker Prediction and Real-World Mobile Deployment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

105 more citing papers are in PubMed but not listed here.

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.

William R ZhangKidney Health Research Collaborative, University of California San Francisco School of Medicine, San Francisco, California 94121, USA.
Chirag R ParikhDivision of Nephrology, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA; email: chirag.parikh@jhmi.edu.

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Leveraging Clinical Trials of Diabetic Kidney Disease to Advance BiomarkersU01DK106962 · NIDDK · YALE UNIVERSITY · PI COCA, STEVEN G, PARIKH, CHIRAG R · 2015 to 2019
$1.3M
AKI Matched Phenotype Linked Evaluation with Tissue (AMPLE-Tissue)UG3DK114866 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2017 to 2018
$710k
NHLBI NIH HHS R01 HL085757NIDDK NIH HHS U01 DK082185NIDDK NIH HHS U01 DK106962NIDDK NIH HHS UG3 DK114866
6 · The paper itself

Abstract

The current unidimensional paradigm of kidney disease detection is incompatible with the complexity and heterogeneity of renal pathology. The diagnosis of kidney disease has largely focused on glomerular filtration, while assessment of kidney tubular health has notably been absent. Following insult, the kidney tubular cells undergo a cascade of cellular responses that result in the production and accumulation of low-molecular-weight proteins in the urine and systemic circulation. Modern advancements in molecular analysis and proteomics have allowed the identification and quantification of these proteins as biomarkers for assessing and characterizing kidney diseases. In this review, we highlight promising biomarkers of kidney tubular health that have strong underpinnings in the pathophysiology of kidney disease. These biomarkers have been applied to various specific clinical settings from the spectrum of acute to chronic kidney diseases, demonstrating the potential to improve patient care.

Indexed as

Acute Kidney InjuryAnimalsBiomarkersHumansKidneyRenal Insufficiency, ChronicBiomarkersacute kidney injuryAKIbiomarkerschronic kidney diseaseCKDkidney

Identifiers

PMID30742783
PMCPMC7879424

What OpenQuestion holds

Textmetadata
LicenceTDM
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.