Evidence map›Paper›PMID 28860833›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2017

Novel biomarkers for prediabetes, diabetes, and associated complications.

Brenda Dorcely, Karin Katz, Ram Jagannathan, Stephanie S Chiang, Babajide Oluwadare, Ira J Goldberg, Michael Bergman

Abstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

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

  1. Type 2 Diabetes as a Determinant of Parkinson's Disease Risk and Progression.Movement disorders : official journal of the Movement Disorder Society · 2021
    Pooled it
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  6. Biochemical and Molecular Markers Among Prediabetic and Type 2 Diabetes Mellitus Patients.International journal of endocrinology and metabolism · 2026
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  16. Primary open-angle glaucoma: a perspective from plasma metabolomics.Expert review of molecular diagnostics · 2025
    Review
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32 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

7 authors.

Brenda DorcelyNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.
Karin KatzNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.
Ram JagannathanDepartment of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Stephanie S ChiangNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.
Babajide OluwadareNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.
Ira J GoldbergNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.
Michael BergmanNew York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY.

Funding

Role of Serum Amyloid A in Diabetic Vascular DiseaseP01HL092969 · NHLBI · UNIVERSITY OF WASHINGTON · PI BORNFELDT, KARIN E. · 2008 to 2019
$23.5M
Training Program in Cardiovascular SciencesT32HL098129 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Glenn I Fishman, Ira J Goldberg · 2009 to 2026
$5.9M
NHLBI NIH HHS P01 HL092969NHLBI NIH HHS T32 HL098129
6 · The paper itself

Abstract

The number of individuals with prediabetes is expected to grow substantially and estimated to globally affect 482 million people by 2040. Therefore, effective methods for diagnosing prediabetes will be required to reduce the risk of progressing to diabetes and its complications. The current biomarkers, glycated hemoglobin (HbA1c), fructosamine, and glycated albumin have limitations including moderate sensitivity and specificity and are inaccurate in certain clinical conditions. Therefore, identification of additional biomarkers is being explored recognizing that any single biomarker will also likely have inherent limitations. Therefore, combining several biomarkers may more precisely identify those at high risk for developing prediabetes and subsequent progression to diabetes. This review describes recently identified biomarkers and their potential utility for addressing the burgeoning epidemic of dysglycemic disorders.

Indexed as

biomarkersdiabetesdiabetes complicationsinflammatory markersprediabetes

Identifiers

PMID28860833
PMCPMC5565252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.