Evidence map›Paper›PMID 21474403›Full record

ArticlePrimary care diabetes2011

HbA(1c) values for defining diabetes and impaired fasting glucose in Asian Indians.

Manisha Nair, Dorairaj Prabhakaran, K M Venkat Narayan, Rashmi Sinha, Ramakrishnan Lakshmy, Niveditha Devasenapathy, Carrie R Daniel, Ruby Gupta, Preethi S George, Aleyamma Mathew and 2 more

Open access · greenAbstract read
In one paragraph

Article in Primary care diabetes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. Hyperinsulinemia: an early biomarker of metabolic dysfunction.Frontiers in clinical diabetes and healthcare · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Pitfalls of HbA1c in the Diagnosis of Diabetes.The Journal of clinical endocrinology and metabolism · 2020
    Article
  8. Review of methods for detecting glycemic disorders.Diabetes research and clinical practice · 2020
    Review
  9. Article
  10. Article
  11. Authors' Response.The Indian journal of medical research · 2017
    Article
  12. Derivation & validation of glycosylated haemoglobin (HbAThe Indian journal of medical research · 2016
    Article
  13. Review
  14. Article
  15. Article
  16. Comparison of Hemoglobin AIndian journal of endocrinology and metabolism
    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

12 authors at 7 institutions in 2 countries.

Manisha NairFogarty International Centre & Centre of Excellence-Centre for cArdiometabolic Risk Reduction in South Asia, Public Health Foundation of India, New Delhi 122002, India. dr.manisha.das@gmail.com
Dorairaj Prabhakaran
K M Venkat Narayan
Rashmi Sinha
Ramakrishnan Lakshmy
Niveditha Devasenapathy
Carrie R Daniel
Ruby Gupta
Preethi S George
Aleyamma Mathew
Nikhil Tandon
K Srinath Reddy
All India Institute of Medical Sciences · INPublic Health Foundation of India · INRegional Cancer Center, Thiruvananthapuram · INDivision of Cancer Epidemiology and GeneticsEmory University · USIndian Institute of Public Health Gandhinagar · INNational Cancer Institute · US

Funding

Etiologic Studies of Diet and CancerZIACP010127 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ABNET, CHRISTIAN · 2009 to 2025
$3.5M
Diet and Cancer in IndiaZIACP010194 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2013
$2.4M
CLINICAL/IMMUNOLOGIC/GENETIC ANALYSES OF AUTOIMMUNE LYMPHOPROLIFERATIVE SYNDROMEZ01AI000732 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI RAO, VEMULKONDA · 1995 to 2008
$1.1M
Intramural NIH HHS ZIA CP010194
6 · The paper itself

Abstract

aimTo determine the glycosylated haemoglobin (HbA(1c)) cut-points for diabetes and impaired fasting glucose (IFG) among Asian Indians.

methodsParticipants (n=525) were a random sample selected from the India Health Study. Based on history and fasting plasma glucose (FPG), participants were classified into known diabetes, newly diagnosed diabetes (NDD), impaired fasting glucose (IFG) [ADA and WHO criteria] or normal fasting glucose (NFG). Receiver Operating Characteristic curves were used to identify the optimum sensitivity and specificity for defining HbA(1c) cut-points for NDD and IFG against the FPG criteria.

resultsThere were 64 participants with a known history of diabetes. Of the remaining 461, IFG was present in 44.7% (ADA) and 18.2% (WHO), and 10.4% were NDD. Mean HbA(1c) were 5.4 (±0.04)% for NFG; 5.7 (±0.06)% among IFG-ADA, 5.8 (±0.09)% among IFG-WHO; 7.5 (±0.33)% for NDD and 8.4 (±0.32)% for known diabetes. Optimal HbA(1c) cut-point for NDD was 5.8% (sensitivity=75%, specificity=75.5%, AUC=0.819). Cut-point for IFG (ADA) was 5.5% (sensitivity=59.7%, specificity=59.9%, AUC=0.628) and for IFG (WHO) was 5.6% (sensitivity=60.7%, specificity=65.1%, AUC=0.671).

conclusionIn this study population from north and south regions of India, the HbA(1c) cut-point that defines NDD (≥5.8%) was much lower than that proposed by an international expert committee and the American Diabetes Association (≥6.5%). A cut-point of ≥5.5% or ≥5.6% defined IFG, and was slightly lower than the ≥5.7% for high risk proposed, but accuracy was less than 70%.

Indexed as

Analysis of VarianceAsian PeopleBiomarkersBlood GlucoseDiabetes MellitusFastingFemaleGlucose IntoleranceGlycated HemoglobinHealth SurveysHumansIndiaMaleMiddle AgedPredictive Value of TestsPrevalenceBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID21474403
PMCPMC3117965
OpenAlexW2019884878

What Socratic 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 Socratic graph.