Evidence map›Paper›PMID 26336912›Full record

Observational studyClinical journal of the American Society of Nephrology : CJASN2015

False-Positive Rate of AKI Using Consensus Creatinine-Based Criteria.

Jennie Lin, Hilda Fernandez, Michael G S Shashaty, Dan Negoianu, Jeffrey M Testani, Jeffrey S Berns, Chirag R Parikh, F Perry Wilson

Abstract readObservational Study
In one paragraph

Observational study in Clinical journal of the American Society of Nephrology : CJASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 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. 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
  5. Article
  6. Urinary UDP-sugars provide actionable prediction of acute kidney injury in cardiac surgery patients.American journal of physiology. Heart and circulatory physiology · 2026
    Article
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  19. Black and White Adults With CKD Hospitalized With Acute Kidney Injury: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Article
  20. Article

8 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

8 authors.

Jennie LinRenal Electrolyte and Hypertension Division, Department of Medicine and.
Hilda FernandezDivision of Nephrology, Department of Medicine, Columbia University Medical Center, New York, New York; and.
Michael G S ShashatyPulmonary, Allergy, and Critical Care Division, Department of Medicine and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
Dan NegoianuRenal Electrolyte and Hypertension Division, Department of Medicine and.
Jeffrey M TestaniSections of Cardiology and.
Jeffrey S BernsRenal Electrolyte and Hypertension Division, Department of Medicine and.
Chirag R ParikhNephrology and Program of Applied Translational Research, Department of Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut.
F Perry WilsonNephrology and Program of Applied Translational Research, Department of Medicine, Yale School of Medicine, Yale University, New Haven, Connecticut francis.p.wilson@yale.edu.

Funding

Training in Renal ResearchT32DK007006 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HOLZMAN, LAWRENCE B. · 1986 to 2023
$8.5M
CLINICAL RESEARCH TRAINING IN KIDNEY DISEASET32DK007785 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 2000 to 2019
$3.9M
Mediators & prognostic value of muscle mass & function in chronic kidney diseaseK23DK097201 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2013 to 2017
$916k
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
Cardio-renal phenotype and prognosis in chronic heart failureK23HL114868 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2012 to 2017
$845k
Acute Adipose Inflammation as a Contributor to Acute Kidney Injury After TraumaK23DK097307 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SHASHATY, MICHAEL G. S. · 2013 to 2016
$626k
NHLBI NIH HHS K23 HL114868NHLBI NIH HHS K23HL114868NHLBI NIH HHS L30 HL115790NHLBI NIH HHS L30HL115790NIDDK NIH HHS 3T32DK007785NIDDK NIH HHS 5T32DK00700640NIDDK NIH HHS K23 DK097201NIDDK NIH HHS K23DK097201NIDDK NIH HHS K23 DK097307NIDDK NIH HHS K23DK097307NIDDK NIH HHS K24 DK090203NIDDK NIH HHS K24DK090203NIDDK NIH HHS T32 DK007006NIDDK NIH HHS T32 DK007785
6 · The paper itself

Abstract

BACKGROUND AND

objectivesUse of small changes in serum creatinine to diagnose AKI allows for earlier detection but may increase diagnostic false-positive rates because of inherent laboratory and biologic variabilities of creatinine. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We examined serum creatinine measurement characteristics in a prospective observational clinical reference cohort of 2267 adult patients with AKI by Kidney Disease Improving Global Outcomes creatinine criteria and used these data to create a simulation cohort to model AKI false-positive rates. We simulated up to seven successive blood draws on an equal population of hypothetical patients with unchanging true serum creatinine values. Error terms generated from laboratory and biologic variabilities were added to each simulated patient's true serum creatinine value to obtain the simulated measured serum creatinine for each blood draw. We determined the proportion of patients who would be erroneously diagnosed with AKI by Kidney Disease Improving Global Outcomes creatinine criteria.

resultsWithin the clinical cohort, 75.0% of patients received four serum creatinine draws within at least one 48-hour period during hospitalization. After four simulated creatinine measurements that accounted for laboratory variability calculated from assay characteristics and 4.4% of biologic variability determined from the clinical cohort and publicly available data, the overall false-positive rate for AKI diagnosis was 8.0% (interquartile range =7.9%-8.1%), whereas patients with true serum creatinine ≥1.5 mg/dl (representing 21% of the clinical cohort) had a false-positive AKI diagnosis rate of 30.5% (interquartile range =30.1%-30.9%) versus 2.0% (interquartile range =1.9%-2.1%) in patients with true serum creatinine values <1.5 mg/dl (P<0.001).

conclusionsUse of small serum creatinine changes to diagnose AKI is limited by high false-positive rates caused by inherent variability of serum creatinine at higher baseline values, potentially misclassifying patients with CKD in AKI studies.

Indexed as

Computer SimulationAcute Kidney InjuryAgedBiomarkersConsensusCreatinineDiagnostic ErrorsFalse Positive ReactionsFemaleHumansMaleMiddle AgedPractice Guidelines as TopicProspective StudiesBiomarkersCreatinineacute renal failurecreatinineepidemiology and outcomesmisdiagnosissurvival

Identifiers

PMID26336912
PMCPMC4594067

What OpenQuestion holds

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Registered trials

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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.