Evidence map›Paper›PMID 31547939›Full record

Trial reportAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2020

Kidney Biomarkers of Injury and Repair as Predictors of Contrast-Associated AKI: A Substudy of the PRESERVE Trial.

Chirag R Parikh, Caroline Liu, Maria K Mor, Paul M Palevsky, James S Kaufman, Heather Thiessen Philbrook, Steven D Weisbord

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  4. Observational
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  6. Review
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  11. Review
  12. Article
  13. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  14. Article
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  16. Review
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  20. Observational
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

7 authors at 5 institutions in 1 country.

Chirag R ParikhDivision of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: chirag.parikh@jhmi.edu.
Caroline LiuDivision of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD.
Maria K MorVA Pittsburgh Healthcare System, Pittsburgh, PA; Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
Paul M PalevskyVA Pittsburgh Healthcare System, Pittsburgh, PA; University of Pittsburgh School of Medicine, Pittsburgh, PA.
James S KaufmanDivision of Nephrology, VA New York Harbor Healthcare System and New York University School of Medicine, New York, NY.
Heather Thiessen PhilbrookDivision of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD.
Steven D WeisbordVA Pittsburgh Healthcare System, Pittsburgh, PA; University of Pittsburgh School of Medicine, Pittsburgh, PA.
Johns Hopkins University · USUniversity of Pittsburgh · USJohns Hopkins Medicine · USVA NY Harbor Healthcare System · USVA Pittsburgh Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S. · 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
Biomarker Collection and Analysis in the PRESERVE Trial CohortR01DK098214 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PALEVSKY, PAUL M, PARIKH, CHIRAG R · 2013 to 2013
$773k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK098214
6 · The paper itself

Abstract

RATIONALE &

objectiveThe PRESERVE trial used a 2 × 2 factorial design to compare intravenous saline solution with intravenous sodium bicarbonate solution and oral N-acetylcysteine with placebo for the prevention of 90-day major adverse kidney events and death (MAKE-D) and contrast-associated acute kidney injury (CA-AKI) among patients with chronic kidney disease undergoing angiography. In this ancillary study, we evaluated the predictive capacities of preangiography injury and repair proteins in urine and plasma for MAKE-D, CA-AKI, and their impact on trial design. STUDY

designLongitudinal analysis. SETTING &

participantsA subset of participants from the PRESERVE trial. EXPOSURES: Injury (KIM-1, NGAL, and IL-18) and repair (MCP-1, UMOD, and YKL-40) proteins in urine and plasma 1 to 2 hours preangiography. OUTCOMES: MAKE-D and CA-AKI. ANALYTICAL APPROACH: We analyzed the associations of preangiography biomarkers with MAKE-D and with CA-AKI. We evaluated whether the biomarker levels could enrich the MAKE-D event rate and improve future clinical trial efficiency through an online biomarker prognostic enrichment tool available at prognosticenrichment.com.

resultsWe measured plasma biomarkers in 916 participants and urine biomarkers in 797 participants. After adjusting for urinary albumin-creatinine ratio and baseline estimated glomerular filtration rate, preangiography levels of 4 plasma (KIM-1, NGAL, UMOD, and YKL-40) and 3 urine (NGAL, IL-18, and YKL-40) biomarkers were associated with MAKE-D. Only plasma KIM-1 level was significantly associated with CA-AKI after adjustment. Biomarker levels provided modest discriminatory capacity for MAKE-D. Screening patients using the 50th percentile of preangiography plasma KIM-1 or YKL-40 levels would have reduced the required sample size by 30% (∼2,000 participants). LIMITATIONS: Evaluation of prognostic enrichment does not account for changing trial costs, time needed to screen patients, or loss to follow-up. Most participants were male, limiting the generalizability of our findings.

conclusionsPreangiography levels of injury and repair biomarkers modestly predict the development of MAKE-D and can be used to improve the efficiency of future CA-AKI trials.

Indexed as

AcetylcysteineAcute Kidney InjuryAcute-Phase ProteinsAdministration, OralAgedAngiographyBiomarkersContrast MediaCytokinesFemaleFollow-Up StudiesFree Radical ScavengersGlomerular Filtration RateHumansInfusions, IntravenousKidney Function TestsAcetylcysteineAcute-Phase ProteinsBiomarkersContrast MediaCytokinesFree Radical ScavengersSodium BicarbonateAcute kidney injury (AKI)angiographyclinical trial designcontrast-associated acute kidney injury (CA-AKI)contrast-induced acute kidney injury (CI-AKI)contrast mediaenrollment criteriaevent rateMAKE-Dplasma biomarkersprognostic biomarkertubular injuryurinary biomarkers

Identifiers

PMID31547939
PMCPMC7012712
OpenAlexW2974521425

What Socratic 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 Socratic graph.