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APPENDIX S: SCREENING TEST PERFORMANCE AND
            ACCURACY CONCERNS

            The administration of either FPG or HbA1c is the recommended protocol as the first line for
            screening tests in Hong Kong. Yet, more recent evidence suggests there are accuracy
            concerns relating to HbA1c as well as FPG (Barry et al., 2017; Heianza et al., 2011). The
            implications of inaccurate testing are two-fold: i) screening may result in an incorrect
            diagnosis (false positive) and intervention is offered to those that do not require it; or ii)
            screening may result in no diagnosis and timely intervention may not be offered to those in
            need (false negative). It is therefore imperative that available screening tests attain high
            sensitivity (measures probability of true positives) and specificity (measure probability of true
            negatives) to reduce the number of false positives and false negatives.

            In a leading study by Barry and colleagues (2017), a systematic review and meta-analysis of
            empirical studies evaluating accuracy of tests for identification of pre-diabetes was
            presented. The study reviewed 148 international publications and extracted data
            from 46 papers (inclusive of studies with WHO and ADA criteria) specifically to construct
            the diagnostic accuracy for a meta-analysis and presented findings on sensitivity and
            specificity for FBG and HbA1c tests. One of the key principal findings concluded that the
            diagnostic accuracy of tests used to detect pre-diabetes in screening programme is low,
            specifically that HbA1c is neither sensitive 0.47 (95% CI; 0.37 to 0.58) nor specific 0.81 (95%
            confidence interval 0.74 to 0.86); while FPG is specific 0.95 (95% confidence interval 0.93 to
            0.97) but not sensitive 0.24 (95% confidence interval 0.17 to 0.32) (Barry et al., 2017). In sum,
            the findings illustrate that both tests are low in sensitivity rendering a higher
            number of false negatives, therefore screened individuals are at greater risk of being
            falsely reassured and not given timely intervention. In terms of specificity however, FPG
            should perform better while HbAc1 may lead to a high number of false positives, therefore
            the chance of being misdiagnosed and given intervention is a higher probability for the latter
            test.

            The Hong Kong Reference Framework for Diabetes Care for Adults in Primary Care Settings
            suggests that either FPG or HbA1c tests can be sufficient in the two rounds of screening
            test. While no screening test is 100% accurate, there is no universal evidence as to
            which test is the most accurate including the trade-offs between accuracy, costs
            and feasibility. In view of this, our prospective screening programme confronts this challenge
            by aligning with the recommendation stipulated under our local guidelines with the added
            component of combining FPG+HbA1c tests. Therefore, the screening programme consists
            of two rounds of screening, with at least one round of combined
            FPG+HbA1c tests, followed by either a repeat of both, or both tests in
            addition to OGTT.

            In the case of Hong Kong, we recommend the added component of combining FPG+HbA1c
            tests as a feasible alternative to partly overcome the associated inaccuracies
            presented within each screening test. For example, taking the case of an
            asymptomatic individual that receives an abnormal value for fasting plasma glucose or HbA1c
            value, a repeat of either test is required. However, in the case of an individual that does not
            present an abnormal value, the performance of screening test based on FPG and HbA1c
            results together versus on the basis of a single FPG or Hba1c value alone should perform
            better. Therefore, presented with the challenge of a low sensitivity (many false negatives)
            observed in both tests, the approach to combine the two tests is a method to reduce the
            inaccuracies associated with a case in which false negative may arise.









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