Cargando…

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

AIM: 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. METHODS: This systematic review included published studies that included one or more index...

Descripción completa

Detalles Bibliográficos
Autores principales: Kaur, Gunjeet, Lakshmi, P. V. M., Rastogi, Ashu, Bhansali, Anil, Jain, Sanjay, Teerawattananon, Yot, Bano, Henna, Prinja, Shankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678987/
https://www.ncbi.nlm.nih.gov/pubmed/33216783
http://dx.doi.org/10.1371/journal.pone.0242415
_version_ 1783612260488314880
author Kaur, Gunjeet
Lakshmi, P. V. M.
Rastogi, Ashu
Bhansali, Anil
Jain, Sanjay
Teerawattananon, Yot
Bano, Henna
Prinja, Shankar
author_facet Kaur, Gunjeet
Lakshmi, P. V. M.
Rastogi, Ashu
Bhansali, Anil
Jain, Sanjay
Teerawattananon, Yot
Bano, Henna
Prinja, Shankar
author_sort Kaur, Gunjeet
collection PubMed
description AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSION: 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.
format Online
Article
Text
id pubmed-7678987
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-76789872020-12-02 Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis Kaur, Gunjeet Lakshmi, P. V. M. Rastogi, Ashu Bhansali, Anil Jain, Sanjay Teerawattananon, Yot Bano, Henna Prinja, Shankar PLoS One Research Article AIM: 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. METHODS: 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. RESULTS: 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%). CONCLUSION: 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. Public Library of Science 2020-11-20 /pmc/articles/PMC7678987/ /pubmed/33216783 http://dx.doi.org/10.1371/journal.pone.0242415 Text en © 2020 Kaur et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kaur, Gunjeet
Lakshmi, P. V. M.
Rastogi, Ashu
Bhansali, Anil
Jain, Sanjay
Teerawattananon, Yot
Bano, Henna
Prinja, Shankar
Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title_full Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title_fullStr Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title_short Diagnostic accuracy of tests for type 2 diabetes and prediabetes: A systematic review and meta-analysis
title_sort diagnostic accuracy of tests for type 2 diabetes and prediabetes: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678987/
https://www.ncbi.nlm.nih.gov/pubmed/33216783
http://dx.doi.org/10.1371/journal.pone.0242415
work_keys_str_mv AT kaurgunjeet diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT lakshmipvm diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT rastogiashu diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT bhansalianil diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT jainsanjay diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT teerawattananonyot diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT banohenna diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis
AT prinjashankar diagnosticaccuracyoftestsfortype2diabetesandprediabetesasystematicreviewandmetaanalysis