Evidence map›Paper›PMID 29980527›Full record

ArticleDiabetes care2018

Validation of Plasma Biomarker Candidates for the Prediction of eGFR Decline in Patients With Type 2 Diabetes.

Andreas Heinzel, Michael Kammer, Gert Mayer, Roman Reindl-Schwaighofer, Karin Hu, Paul Perco, Susanne Eder, Laszlo Rosivall, Patrick B Mark, Wenjun Ju and 12 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Diabetes care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The efficacy of remote ischemic conditioning in preventing contrast-induced nephropathy among patients undergoing coronary angiography or intervention: An updated systematic review and meta-analysis.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
    Pooled it
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  6. Comparison of incident hypertension between SGLT2 inhibitors vs. DPP4 inhibitors.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
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  15. Observational
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  20. Current updates on protein as biomarkers for diabetic kidney disease: a systematic review.Therapeutic advances in endocrinology and metabolism · 2021
    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

22 authors.

Andreas HeinzelDepartment of Nephrology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-8447-1795
Michael KammerDepartment of Nephrology, Medical University of Vienna, Vienna, Austria.
Gert MayerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-4605-1789
Roman Reindl-SchwaighoferDepartment of Nephrology, Medical University of Vienna, Vienna, Austria.
Karin HuDepartment of Nephrology, Medical University of Vienna, Vienna, Austria.
Paul PercoDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.
Susanne EderDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck, Austria.
Laszlo RosivallInternational Nephrology Research and Training Centre, Institute of Pathophysiology, Semmelweis University, Budapest, Hungary.
Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, U.K.
Wenjun JuDepartment of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
Matthias KretzlerDepartment of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI.
Peter GilmourAstellas Pharma Europe B.V., Leiden, the Netherlands.
Jonathan M WilsonLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN.
Kevin L DuffinLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN.
Moustafa AbdallaOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K.
Mark I McCarthyOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K.
Georg HeinzeSection for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Medical University of Vienna, Vienna, Austria.
Hiddo L HeerspinkClinical Pharmacy and Pharmacology, Faculty of Medical Sciences, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-3126-3730
Andrzej WiecekDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia in Katowice, Katowice, Poland.
Maria F GomezDepartment of Clinical Sciences in Malmö, Lund University Diabetes Centre, Lund, Sweden.
Rainer OberbauerDepartment of Nephrology, Medical University of Vienna, Vienna, Austria rainer.oberbauer@meduniwien.ac.at.ORCID 0000-0001-7544-6275
BEAt-DKD Consortium

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK081943Wellcome Trust 090532Wellcome Trust 098381Wellcome Trust 203141
6 · The paper itself

Abstract

objectiveThe decline of estimated glomerular filtration rate (eGFR) in patients with type 2 diabetes is variable, and early interventions would likely be cost-effective. We elucidated the contribution of 17 plasma biomarkers to the prediction of eGFR loss on top of clinical risk factors. RESEARCH DESIGN AND

methodsWe studied participants in PROVALID (PROspective cohort study in patients with type 2 diabetes mellitus for VALIDation of biomarkers), a prospective multinational cohort study of patients with type 2 diabetes and a follow-up of more than 24 months (

resultsIn univariable analyses, 9 of the 17 markers showed significant differences in median concentration between stable and fast-progressing patients. A linear mixed model for eGFR obtained by variable selection exhibited an adjusted

conclusionsIn this longitudinal study of patients with type 2 diabetes and maintained eGFR at baseline, 12 of the 17 candidate biomarkers were associated with eGFR decline, but their predictive power was low.

Indexed as

Glomerular Filtration RateAgedBiomarkersDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleHumansKidney Function TestsLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkers

Identifiers

PMID29980527
PMCPMC6105325

What OpenQuestion holds

Textmetadata
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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.