The simplified FINDRISC tool detected undiagnosed type 2 diabetes with an AUC of 0.7486, showing no statistically significant difference compared to the modified FINDRISC.
Cross-Sectional (n=4,027)
Yes
Does the FINDRISC tool accurately detect undiagnosed type 2 diabetes in Kenyan adults?
The simplified FINDRISC tool performs well in detecting undiagnosed type 2 diabetes in Kenyan adults and is a viable, non-invasive screening option.
Absolute Event Rate: 0.7486% vs 0.7481%
p-value: p=0.9118
Abstract Background: Diabetes mellitus is growing to epidemic proportions especially in LMICs. The disease is often undiagnosed until clinical manifestation of related complications. Africa, has the highest proportion of undiagnosed diabetes and in Kenya, is estimated at 53%. Studies have however demonstrated that early diagnosis & prevention delays its onset and related complications. Diagnosing & screening diabetes in Kenya, is however costly and not readily available. The alternative use of diabetes screening risk score tools advocated such as FINDRISC have not been validated for use in Kenya. We therefore aimed to measure the performance of the FINDRISC as a screening tool for undiagnosed type 2 diabetes among Kenya adults. Methods: A secondary analysis of a Kenya STEPwise cross-sectional survey conducted between April and June 2015 was carried out. The modified FINDRISC and simplified FINDRISC versions were created based on available secondary data and regression analyses performed. Non-parametric analyses of the areas under the receiver operating characteristics curve (AUC), and statistics of the modified FINDRISC and simplified FINDRISC diagnostic tests were analyzed. Results: A total of 4,027 data observations of individuals aged 18−69 years were analyzed. The prevalence of undiagnosed diabetes and prediabetes were estimated at 1.8% and 2.6% respectively. The AUC of the modified FINDRISC and simplified FINDRISC in detecting undiagnosed diabetes were 0.7481 and 0.7486 respectively, with no statistically significant difference (p=0.9118). With an optimal cut-off ≥ 7, the simplified FINDRISC had a higher PPV (7.9%) and diagnostic odds (OR:6.65, CI: 4.43 – 9.96) of detecting undiagnosed T2D than the modified FINDRISC. Conclusion: The simple and non-invasive modified FINDRISC and simplified FINDRISC tools performed well in detecting undiagnosed diabetes and may be useful in the Kenyan population and other similar population settings. Considering the context of the Kenyan population settings, the simplified FINDRISC is preferred.
Mugume et al. (Tue,) conducted a cross-sectional in Undiagnosed Type 2 Diabetes (n=4,027). Simplified FINDRISC vs. Modified FINDRISC was evaluated on Area under the receiver operating characteristics curve (AUC) for detecting undiagnosed type 2 diabetes (p=0.9118). The simplified FINDRISC tool detected undiagnosed type 2 diabetes with an AUC of 0.7486, showing no statistically significant difference compared to the modified FINDRISC.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: