Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 30 11 2019
accepted: 02 11 2020
entrez: 20 11 2020
pubmed: 21 11 2020
medline: 5 1 2021
Statut: epublish

Résumé

This systematic review aimed to ascertain the diagnostic accuracy (sensitivity and specificity) of screening tests for early detection of type 2 diabetes and prediabetes in previously undiagnosed adults. This systematic review included published studies that included one or more index tests (random and fasting tests, HbA1c) for glucose detection, with 75-gram Oral Glucose Tolerance Test (or 2-hour post load glucose) as a reference standard (PROSPERO ID CRD42018102477). Seven databases were searched electronically (from their inception up to March 9, 2020) accompanied with bibliographic and website searches. Records were manually screened and full text were selected based on inclusion and exclusion criteria. Subsequently, data extraction was done using standardized form and quality assessment of studies using QUADAS-2 tool. Meta-analysis was done using bivariate model using Stata 14.0. Optimal cut offs in terms of sensitivity and specificity for the tests were analysed using R software. Of 7,151 records assessed by title and abstract, a total of 37 peer reviewed articles were included in this systematic review. The pooled sensitivity, specificity, positive (LR+) and negative likelihood ratio (LR-) for diagnosing diabetes with HbA1c (6.5%; venous sample; n = 17 studies) were 50% (95% CI: 42-59%), 97.3% (95% CI: 95.3-98.4), 18.32 (95% CI: 11.06-30.53) and 0.51 (95% CI: 0.43-0.60), respectively. However, the optimal cut-off for diagnosing diabetes in previously undiagnosed adults with HbA1c was estimated as 6.03% with pooled sensitivity of 73.9% (95% CI: 68-79.1%) and specificity of 87.2% (95% CI: 82-91%). The optimal cut-off for Fasting Plasma Glucose (FPG) was estimated as 104 milligram/dL (mg/dL) with a sensitivity of 82.3% (95% CI: 74.6-88.1%) and specificity of 89.4% (95% CI: 85.2-92.5%). Our findings suggest that at present recommended threshold of 6.5%, HbA1c is more specific and less sensitive in diagnosing the newly detected diabetes in undiagnosed population from community settings. Lowering of thresholds for HbA1c and FPG to 6.03% and 104 mg/dL for early detection in previously undiagnosed persons for screening purposes may be considered.

Identifiants

pubmed: 33216783
doi: 10.1371/journal.pone.0242415
pii: PONE-D-19-32907
pmc: PMC7678987
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0
hemoglobin A1c protein, human 0

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0242415

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Gunjeet Kaur (G)

Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

P V M Lakshmi (PVM)

Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Ashu Rastogi (A)

Department of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Anil Bhansali (A)

Department of Endocrinology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Sanjay Jain (S)

Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Yot Teerawattananon (Y)

Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Health Intervention Technology Assessment Program, Nonthaburi, Thailand.

Henna Bano (H)

Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Shankar Prinja (S)

Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

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