Evidence map›Paper›PMID 28683730›Full record

ArticleBMC nephrology2017

Urinalysis findings and urinary kidney injury biomarker concentrations.

Girish N Nadkarni, Steven G Coca, Allison Meisner, Shanti Patel, Kathleen F Kerr, Uptal D Patel, Jay L Koyner, Amit X Garg, Heather Thiessen Philbrook, Charles L Edelstein and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
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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

14 authors.

Girish N NadkarniDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1243, New York, NY, 10029, USA.
Steven G CocaDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1243, New York, NY, 10029, USA. steven.coca@mssm.edu.
Allison MeisnerDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Shanti PatelDivision of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Box 1243, New York, NY, 10029, USA.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Uptal D PatelDivision of Nephrology, Department of Medicine, Duke University, Durham, NC, USA.
Jay L KoynerDivision of Nephrology, Department of Medicine, University of Chicago, Pritzker School of Medicine, Chicago, IL, USA.
Amit X GargDivision of Nephrology, Department of Medicine, Western University, London, ON, Canada.
Heather Thiessen PhilbrookProgram of Applied Translational Research, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Charles L EdelsteinDivision of Nephrology, Department of Medicine, University of Colorado, Denver, CO, USA.
Michael ShlipakDivision of General Internal Medicine, San Francisco VA Medical Center, University of California, San Francisco, USA.
Joe El-KhouryDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
Chirag R ParikhProgram of Applied Translational Research, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
TRIBE-AKI Consortium Investigators

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
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Risk Clustering and Stratification in Genetically High-Risk Individuals Using Electronic Medical Records and BiomarkersK23DK107908 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NADKARNI, GIRISH NITIN · 2016 to 2020
$930k
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL085757NIDDK NIH HHS K23 DK107908NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

introductionUrinary biomarkers of kidney injury are presumed to reflect renal tubular damage. However, their concentrations may be influenced by other factors, such as hematuria or pyuria. We sought to examine what non-injury related urinalysis factors are associated with urinary biomarker levels.

methodsWe examined 714 adults who underwent cardiac surgery in the TRIBE-AKI cohort that did not experience post-operative clinical AKI (patients with serum creatinine change of ≥ 20% were excluded). We examined the association between urinalysis findings and the pre- and first post-operative urinary concentrations of 4 urinary biomarkers: neutrophil gelatinase-associated lipocalin (NGAL), interleukin-18 (IL-18), kidney injury molecule-1 (KIM-1), and liver fatty acid binding protein (L-FABP).

resultsThe presence of leukocyte esterase and nitrites on urinalysis was associated with increased urinary NGAL (R

conclusionsSeveral factors available through urine dipstick testing are associated with increased urinary biomarker concentrations that are independent of clinical kidney injury. Future studies should explore the impact of these factors on the prognostic and diagnostic performance of these AKI biomarkers.

Indexed as

UrinalysisAcute Kidney InjuryAgedAged, 80 and overBiomarkersCohort StudiesFemaleHumansInternationalityMaleMiddle AgedProspective StudiesProteinuriaBiomarkersAcute kidney injuryBiomarkersUrinalysisUrine dipstickVariability

Identifiers

PMID28683730
PMCPMC5499057

What OpenQuestion holds

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LicenceCC BY
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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.