The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021
Abstract
AIMS To provide up-to-date estimates of undiagnosed diabetes mellitus (UDM) prevalence - both globally, and by region/country, for the year 2021. METHODS Data sources reporting diabetes prevalence were identified through a systematic search in the peer-reviewed and grey literature. The prevalence of undiagnosed diabetes was estimated from the data from each country where data was available. For countries without in-country data, the prevalence of undiagnosed diabetes was approximated by extrapolating the average of the estimates from countries with data sources within the same International Diabetes Federation (IDF) region and World Bank income grouping. We then applied these stratified prevalence estimates of UDM from each country to the number of adults in each strata and summed the counts to generate the number of adults with UDM (aged 20-79 years) for 215 countries and territories. RESULTS In 2021, almost one in two adults (20-79 years old) with diabetes were unaware of their diabetes status (44.7%; 239.7 million). The highest proportions of undiagnosed diabetes (53.6%) were found in the Africa, Western Pacific (52.8%) and South-East Asia regions (51.3%), respectively. The lowest proportion of undiagnosed diabetes was observed in North America and the Caribbean (24.2%). CONCLUSIONS Diabetes surveillance needs to be strengthened to reduce the prevalence of UDM, particularly in low- and middle-income countries.
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Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., et al. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107843 · Cited by 10,792
Self-citationSun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C. N., Mbanya, J. C., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.109119 · Cited by 10,123
Self-citationIDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283
Self-citationDiagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
Turner, R. C., Millns, H., Neil, H. A. W., Stratton, I. M., Manley, S. E., Matthews, D. R., & Holman, R. R. (1998) · BMJ · doi:10.1136/bmj.316.7134.823 · Cited by 2,014
Global estimates of undiagnosed diabetes in adults
Beagley, J., Guariguata, L., Weil, C., & Motala, A. A. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.001 · Cited by 586
Self-citationPrevalence of diabetic retinopathy in type 2 diabetes in developing and developed countries
Ruta, L. M., Magliano, D. J., LeMesurier, R., Taylor, H. R., Zimmet, P. Z., & Shaw, J. E. (2013) · Diabetic Medicine · doi:10.1111/dme.12119 · Cited by 311
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Ahmad, E., Lim, S., Lamptey, R., Webb, D. R., & Davies, M. J. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01655-5 · Cited by 1,120
Hossain, M. J., Al‐Mamun, M., & Islam, M. R. (2024) · Health Science Reports · doi:10.1002/hsr2.2004 · Cited by 928
Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy
Lu, X., Xie, Q., Pan, X., Zhang, R., Zhang, X., Peng, G., Zhang, Y., Shen, S., & Tong, N. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01951-9 · Cited by 665
Prevalence of Diabetes in India: A Review of IDF Diabetes Atlas 10th Edition
Kumar, A., Gangwar, R., Ahmad Zargar, A., Kumar, R., & Sharma, A. (2024) · Current Diabetes Reviews · doi:10.2174/1573399819666230413094200 · Cited by 375
Artificial intelligence for diabetes care: current and future prospects
Sheng, B., Pushpanathan, K., Guan, Z., Lim, Q. H., Lim, Z. W., Yew, S. M. E., Goh, J. H. L., Bee, Y. M., Sabanayagam, C., Sevdalis, N., et al. (2024) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00154-2 · Cited by 106
Metadata
- Authors
- Ogurtsova, K., Guariguata, L., Barengo, N. C., Ruiz, P. L.-D., Sacre, J. W., Karuranga, S., Sun, H., Boyko, E. J., & Magliano, D. J.
- Venue
- Diabetes Research and Clinical Practice
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 183
- Pages
- 109118
- ISSN
- 0168-8227 (ISSN-L)
- OpenAlex
- W4200533463
- Cited by
- 952
- References
- 8
- FWCI
- 83.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ogurtsova, K., Guariguata, L., Barengo, N. C., Ruiz, P. L.-D., Sacre, J. W., Karuranga, S., Sun, H., Boyko, E. J., & Magliano, D. J. (2022). IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021. Diabetes Research and Clinical Practice. https://doi.org/10.1016/j.diabres.2021.109118
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