Evidence map›Paper›PMID 28596980›Full record

ArticleInternational journal of diabetology & vascular disease research2015

Prediabetes: The Variation between HbA1c and Fasting Plasma Glucose.

K A M White, S Daneshvari, J Lilyquist, L Luo, L E Steffen, A Bivin, N Gurule, G M Ducasa, S M Torres, R Lindeman and 2 more

Open access · diamondAbstract read
In one paragraph

Article in International journal of diabetology & vascular disease research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Aberrant peripheral blood CD34Practical laboratory medicine · 2026
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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

12 authors at 1 institution in 1 country.

K A M WhiteMolecular Epidemiology Laboratory, University of New Mexico, Albuquerque, New Mexico, USA.
S DaneshvariHealth Sciences Library and Informatics Center, University of New Mexico, USA.
J LilyquistMolecular Epidemiology Laboratory, University of New Mexico, Albuquerque, New Mexico, USA.
L LuoDivision of Epidemiology, University of New Mexico, Albuquerque, New Mexico, USA.
L E SteffenDepartment of Cancer Biology, University of Colorado Anschutz Medical Campus, USA.
A BivinMolecular Epidemiology Laboratory, University of New Mexico, Albuquerque, New Mexico, USA.
N GuruleDepartment of Cancer Biology, University of Colorado Anschutz Medical Campus, USA.
G M DucasaMolecular Epidemiology Laboratory, University of New Mexico, Albuquerque, New Mexico, USA.
S M TorresDepartment of Psychology, University of New Mexico, Center for HPV Prevention, Department of Pathology, University of New Mexico, USA.
R LindemanDivision of Epidemiology, University of New Mexico, Albuquerque, New Mexico, USA.
S SankarappanDivision of Epidemiology, University of New Mexico, Albuquerque, New Mexico, USA.
M BerwickMolecular Epidemiology Laboratory, University of New Mexico, Albuquerque, New Mexico, USA.
University of New Mexico · US

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
University of New Mexico Clinical and Translational Science CenterUL1TR000041 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LARSON, RICHARD S · 2012 to 2014
$9.8M
Melanoma Prevention: Using the SunK05CA131675 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE · 2011 to 2015
$795k
NCATS NIH HHS UL1 TR000041NCATS NIH HHS UL1 TR001449NCI NIH HHS K05 CA131675
6 · The paper itself

Abstract

purposeThe prevalence of Diabetes Type 2 is on the rise internationally. Currently, Fasting Plasma Glucose (FPG) and HbA1c are both used to determine if an individual is diabetic or prediabetic. We aimed to describe the prevalence of diabetes, prediabetes, and glycemic control in a population-based sample of elderly Hispanic and non-Hispanic White participants in New Mexico.

methodsTo do this, we compared HbA1c with FPG using Chi-Square analysis across gender and ethnicity to provide information for future health care policy. We also performed non-parametric regression using a locally weighted smoothing technique to investigate the relationship between FPG and HbA1c levels.

resultsOur analysis identifies a large variation between the sensitivity of HbA1c and FPG in the identification of both prediabetes and diabetes. Interestingly, 95% of diabetics defined by FPG are also defined by HbA1c, representing overlap between the two measures. When comparing the prevalence of prediabetes between the two measures, the overlap of FPG with HbA1c was only 30% and HbA1c identifies more individuals as prediabetic than FPG. Prevalence of diabetes was also higher when defined by HbA1c compared to FPG and the overall agreement between HbA1c and FPG appears to be poor particularly by sex and ethnicity (K=0.22-0.34). Glycemic control was poor overall with Hispanics displaying a larger amount of uncontrolled diabetes.

conclusionWe compared HbA1c and FPG by gender and ethnicity and showed both measures of diabetes differ in their sensitivity across ethnic groups. Our results suggest that using HbA1c, rather than FPG, results in higher rates of prediabetes and diabetes, a finding with numerous implications for health care practice.

Indexed as

DiabetesEthnicityHispanicsType 2 Diabetes

Identifiers

PMID28596980
PMCPMC5460660
OpenAlexW2554028560

What OpenQuestion 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 OpenQuestion graph.