Evidence map›Paper›PMID 21289229›Full record

ArticleDiabetes care2011

Hemoglobin A1c as a predictor of incident diabetes.

Peiyao Cheng, Britta Neugaard, Philip Foulis, Paul R Conlin

Open access · hybridAbstract read
In one paragraph

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 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Significance of HbA1c and its measurement in the diagnosis of diabetes mellitus: US experience.Diabetes, metabolic syndrome and obesity : targets and therapy · 2014
    Review
  10. Article
  11. Article
  12. Article
  13. Article
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

4 authors at 3 institutions in 1 country.

Peiyao ChengDepartment of Veterans Affairs Medical Center, Tampa, Florida, USA.
Britta Neugaard
Philip Foulis
Paul R Conlin
University of South Florida · USVA Boston Healthcare System · USVeterans Health Administration · US

Funding

Renal blood flow, vascular stiffness, and the DASH dietK24DK063214 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI CONLIN, PAUL R · 2003 to 2012
$1.7M
NIDDK NIH HHS K24 DK063214NIDDK NIH HHS K24-DK063214
6 · The paper itself

Abstract

objectiveSeveral studies have suggested that HbA(1c) levels may predict incident diabetes. With new recommendations for use of HbA(1c) in diagnosing diabetes, many patients with HbA(1c) results below the diagnostic threshold will be identified. Clinicians will need to categorize risk for a subsequent diabetic diagnosis in such patients. The objective of this study was to determine the ability of HbA(1c) to predict the incidence of a diabetic diagnosis. RESEARCH DESIGN AND

methodsWe performed a historical cohort study using electronic medical record data from two Department of Veterans Affairs Medical Centers. Patients (n = 12,589) were identified with a baseline HbA(1c) <6.5% between January 2000 and December 2001 and without a diagnosis of diabetes. Patients (12,375) had at least one subsequent follow-up visit. These patients were tracked for 8 years for a subsequent diagnosis of diabetes.

resultsDuring an average follow-up of 4.4 years, 3,329 (26.9%) developed diabetes. HbA(1c) ≥ 5.0% carried a significant risk for developing diabetes during follow-up. When compared with the reference group (HbA(1c) <4.5%), HbA(1c) increments of 0.5% between 5.0 and 6.4% had adjusted odds ratios of 1.70 (5.0-5.4%), 4.87 (5.5-5.9%), and 16.06 (6.0-6.4%) (P < 0.0001). Estimates of hazard ratios similarly showed significant increases for HbA(1c) ≥ 5.0%. A risk model for incident diabetes within 5 years was developed and validated using HbA(1c), age, BMI, and systolic blood pressure.

conclusionsThe incidence of diabetes progressively and significantly increased among patients with an HbA(1c) ≥ 5.0%, with substantially expanded risk for those with HbA(1c) 6.0-6.4%.

Indexed as

AdolescentAdultAgedAged, 80 and overCohort StudiesDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMiddle AgedYoung AdultGlycated Hemoglobin

Identifiers

PMID21289229
PMCPMC3041192
OpenAlexW2122313152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.