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Undiagnosed Type 2 Diabetes prevalence of 6.67% among adults in South AsiaMeta-analysis reveals high rates of undiagnosed Type 2 Diabetes

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Key Takeaway
Note the high prevalence of undiagnosed Type 2 Diabetes in South Asia, with significant regional variation across countries.

This meta-analysis synthesized data from 28 different studies to evaluate the prevalence of undiagnosed Type 2 Diabetes (T2DM) among a general adult population in South Asia. The study included participants aged between 20 and 79 years, providing a broad demographic overview of the region's diabetic landscape. The primary objective was to quantify the extent of undetected cases within this specific geographic cohort.

The analysis identified a pooled prevalence of undiagnosed T2DM at 6.67% among the total study population of 104,019 participants. This equates to approximately 5,719 cases out of the 104,019 individuals screened across the included studies. The result was reported with a 95% confidence interval (CI) of 4.99-8.58%. However, the study also reported a wide prediction interval ranging from 0.33% to 19.75%, indicating significant variability in the underlying data.

Secondary outcomes focused on country-specific variations in prevalence across South Asia. Significant geographic disparities were noted: Sri Lanka reported a prevalence of 30.54% (95% CI: 17.90-44.82%). In contrast, Nepal showed a prevalence of 7.02% (95% CI: 4.24-10.44%), Pakistan reported 5.97% (95% CI: 3.97-8.33%), Bangladesh reported 5.84% (95% CI: 5.28-6.42%), and India reported 5.26% (95% CI: 3.66-7.14%).

Safety and tolerability data were not reported, as the study was an observational meta-analysis of prevalence rather than a clinical trial of a specific intervention.

These findings highlight significant regional differences that may be influenced by local screening infrastructure or cultural factors. While the pooled prevalence is 6.67%, the high variance between countries like Sri Lanka and India suggests that localized data are more indicative of local needs than the aggregate figure. The results underscore the substantial burden of undiagnosed cases in the region.

Methodological limitations include extreme heterogeneity (I2 = 98.5%, p < 0.001) and a very wide prediction interval (0.33%-19.75%). These factors contribute to high uncertainty regarding the precision of the pooled estimate for any single country outside of those specifically reported.

Clinically, these results highlight a critical need for advanced surveillance systems and validated diabetes screening programs across South Asia. The significant disparity in prevalence rates between neighboring countries suggests that local healthcare policies must be tailored to regional infrastructure. Questions remain regarding the specific factors driving the high prevalence in Sri Lanka compared to other nations, and further research is needed to identify the barriers to diagnosis in these populations.

How this fits prior evidence

How this fits prior evidence This meta-analysis addresses a gap in understanding the baseline prevalence of undiagnosed Type 2 Diabetes in South Asian populations. While previous findings have focused on management interventions such as face-to-face DSME (1.3% HbA1c reduction), HIIT (-0.73% HbA1c reduction), and oral-health promotion, this data provides the foundational epidemiological context of undiagnosed cases that may require these interventions.

Managing diabetes effectively requires early detection and consistent care. For many people, especially in regions like South Asia, the biggest challenge is knowing they have the condition in the first place. When Type 2 Diabetes goes undiagnosed, it can lead to complications that are harder to manage over time. This research highlights how common it is for individuals to live with the condition without a formal diagnosis.

The researchers conducted a meta-analysis, which is a study that combines and analyzes data from many different individual studies. They looked at information from 28 different studies involving over 104,000 participants across several countries in South Asia, including India, Pakistan, Bangladesh, Nepal, and Sri Lanka. The goal was to determine how common undiagnosed Type 2 Diabetes is among the general adult population in this region.

The findings showed a pooled prevalence of approximately 6.67 percent for undiagnosed Type 2 Diabetes across the studied areas. However, the data showed significant differences depending on the specific country. For example, the reported rate in Sri Lanka was much higher at about 30.54 percent, while rates in Nepal, Pakistan, and Bangladesh were lower, ranging between roughly 5.84 percent and 7.02 percent. India showed a prevalence of about 5.26 percent.

It is important to note that this study has some limitations that affect how we interpret these numbers. The researchers noted extreme heterogeneity in the data, which means the original studies were very different from one another in how they were conducted. Because of these differences, there is a wide prediction interval for the results. This means the actual percentage of undiagnosed cases could vary significantly from one area to another.

For patients and healthcare providers, these findings do not mean that every person in these regions has an undiagnosed condition. Instead, the data suggests that current screening methods may not be reaching everyone who needs them. The results highlight a need for better surveillance systems and more consistent testing programs to identify people with Type 2 Diabetes earlier.

Currently, this study does not change immediate medical treatments or daily management plans for patients already diagnosed with diabetes. However, it serves as an important call for public health officials to improve screening efforts. For individuals in these regions, the best course of action remains regular checkups with a healthcare provider to ensure their health is monitored correctly.

What this means for you:
A large review shows many people in South Asia have undiagnosed Type 2 Diabetes, highlighting a need for better screening.

Study Details

Study typeMeta analysis
Sample sizen = 104,019
EvidenceLevel 1
Follow-up948.0 mo
PublishedAug 2026
View Original Abstract ↓
PURPOSE: Although South Asia exhibits a considerable burden of type 2 diabetes mellitus (T2DM), the numbers of undiagnosed T2DM remains inadequately characterized at the regional level. This systematic review and meta-analysis aimed to approximate the pooled prevalence of undiagnosed T2DM among the general adult population and to assess country-specific variations in South Asian countries. METHODS: A comprehensive literature search was directed in PubMed, Scopus, Cochrane Library, ScienceDirect, and Web of Science for studies published between 1994 and 2022. Observational studies reporting the prevalence of undiagnosed T2DM among adults aged 20-79 years in South Asia were included. By using logit transformation, Random-effects meta-analysis was conducted to assess pooled prevalence. While using Cochran's Q and I² statistics Heterogeneity was calculated, publication bias was assessed using funnel plots and Egger's test, and subgroup analyses were performed by country. RESULTS: In this review, a total of 28 studies containing 104,019 participants and 5719 undiagnosed T2DM cases were included. The observed pooled prevalence of undiagnosed T2DM was 6.67% (95% CI: 4.99-8.58%) with considerable uncertainty as indicated by a very wide prediction interval (0.33%-19.75%) and extreme heterogeneity (I² = 98.5%, p < 0.001). At country-level substantial variation was seen, with the highest prevalence in Sri Lanka (30.54%; 95% CI: 17.90-44.82%), followed by Nepal (7.02%; 95% CI: 4.24-10.44%), Pakistan (5.97%; 95% CI: 3.97-8.33%), Bangladesh (5.84%; 95% CI: 5.28-6.42%) and India (5.26%; 95% CI: 3.66-7.14%). The results of Egger's test (t = 1.84, p = 0.0773) suggested no statistical significance evidence of publication bias. CONCLUSION: These findings should be interpreted with attentiveness because of extensive heterogeneity and variability across studies. However, the high number of undiagnosed T2DM in general population of South Asia reflects a great burden and indicates inter-country differences. Therefore, this conclusion highlights the need for advanced surveillance systems, valid diabetes screening, and approach to health care facilities, especially in deprived and high-risk population in the region.
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