Is HbA1c a good screening test for diabetes mellitus?
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Updated: May 29, 2026

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Trefor N Higgins1, David Tran, George S Cembrowski
1DynaLIFEDx, Edmonton, Alberta, Canada. Trefor.higgins@dynalifedx.com
Insights
The optimal diagnostic threshold for Hemoglobin A1c (HbA1c) for diabetes is 7.0%, offering better accuracy than 6.5%. However, even at 7.0%, the positive predictive value remains suboptimal for diagnosing diabetes.
Area of Science:
- Endocrinology
- Clinical Diagnostics
- Public Health
Background:
- Hemoglobin A1c (HbA1c) is now a primary diagnostic tool for diabetes mellitus.
- The diagnostic accuracy of HbA1c compared to the oral glucose tolerance test (OGTT) requires further evaluation.
Purpose of the Study:
- To assess the positive predictive value (PPV) and negative predictive value (NPV) of HbA1c testing for diabetes diagnosis.
- To compare the diagnostic performance of different HbA1c thresholds against the OGTT.
Main Methods:
- Retrospective analysis of three years of concurrent HbA1c and OGTT data.
- Calculation of PPV and NPV using receiver operator (ROC) curves at a 10% diabetes prevalence.
Main Results:
- An HbA1c threshold of 7.0% yielded higher PPV (0.61-0.73) and acceptable NPV (0.91-0.92) compared to the recommended 6.5% threshold.
- The 6.5% HbA1c threshold showed lower PPV (0.40-0.61) and slightly higher NPV (0.92-0.93).
Conclusions:
- An HbA1c threshold of 7.0% is optimal for diabetes diagnosis, outperforming the 6.5% threshold.
- Despite being optimal, the 7.0% HbA1c threshold has a suboptimal PPV, potentially leading to overdiagnosis in up to 12% of individuals.
Objectives:
HbA(1c) has been recently recommended as the primary diagnostic test for diabetes. This study evaluated the positive predictive value (PPV) and negative predictive value (NPV) of HbA(1c) against the oral glucose tolerance test (OGTT) in three locations.
Design And Methods:
Three years of data with concurrent OGTT and HbA(1c) tests were extracted from Laboratory Information Systems (LIS) and receiver operator (ROC) curves and positive and negative predictive values calculated comparing the OGTT with the HbA(1c) values using a 10% prevalence of diabetes.
Results:
The recommended threshold HbA(1c) value of 6.5% did not give the optimal combination of NPV (0.93 to 0.92) and PPV (0.40 to 0.61) compared to a threshold HbA(1c) value of 7.0% (NPV 0.91 to 0.92, PPV 0.61 to 0.73).
Conclusion:
The optimal HbA(1c) value for the diagnosis of diabetes is 7.0% but even at this HbA(1c) the PPV is suboptimal and may cause up to 12% of patients without diabetes, as defined by a normal OGTT, to be classified having diabetes mellitus.
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