Evidence map›Paper›PMID 27165835›Full record

ArticleKidney international2016

Application of new acute kidney injury biomarkers in human randomized controlled trials.

Chirag R Parikh, Dennis G Moledina, Steven G Coca, Heather R Thiessen-Philbrook, Amit X Garg

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Kidney international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Kidney Biomarkers of Injury and Repair as Predictors of Contrast-Associated AKI: A Substudy of the PRESERVE Trial.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020
    Trial
  4. Trial
  5. Trial
  6. Article
  7. COVID-19 associated acute kidney injury.Infectious diseases & immunity · 2025
    Review
  8. Review
  9. Biomarker Panels for Predicting Progression of Kidney Disease in Acute Kidney Injury Survivors.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  10. Review
  11. Rodent models of AKI and AKI-CKD transition: an update in 2024.American journal of physiology. Renal physiology · 2024
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Trajectory of Kidney Function: The Canary in Sepsis.American journal of respiratory and critical care medicine · 2020
    Article
  18. Observational
  19. Article
  20. 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

5 authors at 3 institutions in 2 countries.

Chirag R ParikhProgram of Applied Translational Research, Department of Medicine, Yale University, New Haven, Connecticut, USA; Veterans Affairs Medical Center, West Haven, Connecticut, USA. Electronic address: Chirag.Parikh@Yale.edu.
Dennis G MoledinaProgram of Applied Translational Research, Department of Medicine, Yale University, New Haven, Connecticut, USA.
Steven G CocaSection of Nephrology, Mount Sinai School of Medicine, New York, New York, USA.
Heather R Thiessen-PhilbrookProgram of Applied Translational Research, Department of Medicine, Yale University, New Haven, Connecticut, USA.
Amit X GargDepartment of Medicine, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Yale University · USIcahn School of Medicine at Mount Sinai · USWestern University · CA

Funding

Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI SOMLO, STEFAN · 2008 to 2022
$16.8M
Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
PATHOPHYSIOLOGY OF ACUTE AND CHRONIC RENAL DISEASET32DK007276 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S., CANTLEY, LLOYD G · 1986 to 2022
$9.3M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS T32 DK007276NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

The use of novel biomarkers of acute kidney injury (AKI) in clinical trials may help evaluate treatments for AKI. Here we explore potential applications of biomarkers in simulated clinical trials of AKI using data from the TRIBE-AKI multicenter, prospective cohort study of patients undergoing cardiac surgery. First, in a hypothetical trial of an effective therapy at the time of acute tubular necrosis to prevent kidney injury progression, use of an indirect kidney injury marker such as creatinine compared to a new direct biomarker of kidney injury reduces the proportion of true acute tubular necrosis cases enrolled. The result is a lower observed relative risk reduction with the therapy, and lower statistical power to detect a therapy effect at a given sample size. Second, the addition of AKI biomarkers (interleukin-18 and NGAL) to clinical risk factors as eligibility criteria for trial enrollment in early AKI has the potential to increase the proportion of patients who will experience AKI progression and reduce trial cost. Third, we examine AKI biomarkers as outcome measures for the purposes of identifying therapies that warrant further testing in larger, multicenter, multi-country trials. In the hypothetical trial of lower cardiopulmonary bypass time to reduce the risk of postoperative AKI, the sample size required to detect a reduction in AKI is lower if new biomarkers are used to define AKI rather than serum creatinine. Thus, incorporation of new biomarkers of AKI has the potential to increase statistical power, decrease the sample size, and lower the cost of AKI trials.

Indexed as

Acute Kidney InjuryBiomarkersCardiopulmonary BypassCreatinineDisease ProgressionHumansInterleukin-18Kidney Function TestsKidney Tubular Necrosis, AcuteLipocalin-2Prospective StudiesRandomized Controlled Trials as TopicRisk FactorsBiomarkersCreatinineInterleukin-18LCN2 protein, humanLipocalin-2acute kidney injurycardiovascular diseaseproteomic analysis

Identifiers

PMID27165835
PMCPMC4869991
OpenAlexW2342132835

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.