Evidence map›Paper›PMID 21335372›Full record

ArticleDiabetes care2011

Hemoglobin A1c as a diagnostic tool for diabetes screening and new-onset diabetes prediction: a 6-year community-based prospective study.

Sung Hee Choi, Tae Hyuk Kim, Soo Lim, Kyong Soo Park, Hak C Jang, Nam H Cho

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Article in Diabetes care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

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43citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sung Hee ChoiDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. chnaha@ajou.ac.kr
Tae Hyuk Kim
Soo Lim
Kyong Soo Park
Hak C Jang
Nam H Cho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveVarious cutoff levels of hemoglobin A(1c) (A1C) have been suggested to screen for diabetes, although more consensus about the best level, especially for different ethnicities, is required. We evaluated the usefulness of A1C levels when screening for undiagnosed diabetes and as a predictor of 6-year incident diabetes in a prospective, population-based cohort study. RESEARCH DESIGN AND

methodsA total 10,038 participants were recruited from the Ansung-Ansan cohort study. All subjects underwent a 75-g oral glucose tolerance test at baseline and at each biennial follow-up. Excluding subjects with a previous history of diabetes (n = 572), the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of the A1C cutoff. The Cox proportional hazards model was used to predict diabetes at 6 years.

resultsAt baseline, 635 participants (6.8%) had previously undiagnosed diabetes. An A1C cutoff of 5.9% produced the highest sum of sensitivity (68%) and specificity (91%). At 6 years, 895 (10.2%) subjects had developed incident diabetes. An A1C cutoff of 5.6% had the highest sum of sensitivity (59%) and specificity (77%) for the identification of subsequent 6-year incident diabetes. After multivariate adjustment, men with baseline A1C ≥5.6% had a 2.4-fold increased risk and women had a 3.1-fold increased risk of new-onset diabetes.

conclusionsA1C is an effective and convenient method for diabetes screening. An A1C cutoff of 5.9% may identify subjects with undiagnosed diabetes. Individuals with A1C ≥5.6% have an increased risk for future diabetes.

Indexed as

AdultDiabetes Mellitus, Type 2FemaleGlucose Tolerance TestGlycated HemoglobinHumansMaleMiddle AgedProspective StudiesGlycated Hemoglobin

Identifiers

PMID21335372
PMCPMC3064055

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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.