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Global estimates of diabetes prevalence for 2013 and projections for 2035
Open accessAbstract
Introduction Diabetes is a serious and increasing global health burden and estimates of prevalence are essential for appropriate allocation of resources and monitoring of trends.Methods We conducted a literature search of studies reporting the age-specific prevalence for diabetes and used the Analytic Hierarchy Process to systematically select studies to generate estimates for 219 countries and territories. Estimates for countries without available source data were modelled from pooled estimates of countries that were similar in regard to geography, ethnicity, and economic development. Logistic regression was applied to generate smoothed age-specific prevalence estimates for adults 20-79 years which were then applied to population estimates for 2013 and 2035.Results A total of 744 data sources were considered and 174 included, representing 130 countries. In 2013, 382 million people had diabetes; this number is expected to rise to 592 million by 2035. Most people with diabetes live in low- and middle-income countries and these will experience the greatest increase in cases of diabetes over the next 22 years.Conclusion The new estimates of diabetes in adults confirm the large burden of diabetes, especially in developing countries. Estimates will be updated annually including the most recent, high-quality data available.
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In the citing paper
“In 2013, there were an estimated 382 million patients with diabetes globally.1”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“Concerningly, the T2D incidence continues to increase, and it is projected that there will be >590 million patients diagnosed with this condition by 2035.1,2”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“Of the 2.1 billion individuals that are obese or overweight <25% have been diagnosed with T2D.1,18”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“T2D is a chronic metabolic complex multifactorial disease, involving many organs, that has become a global pandemic in recent decades.1,28”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“Interestingly, the rise in prevalence of T2D is estimated to be almost 4x as high in developing as in developed countries.1,25,51”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“This is thought to be due to developing countries adopting ‘western lifestyles’ and the increase in obesity and the number of people being overweight in their populations.1,28,52”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“By 2045, it has been estimated that there will be over 700 million T2D patients worldwide.1,62”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“However, as highlighted in Tables 1 and 2, the future increase in the number of T2D patients will be partly due to the rise in the global population and not just increasing incidence.1”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“China has the highest number of T2D patients (~98 million) and India has the second-highest (around 65 million).1”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“Tokelau has been reported in 2013 as the country with the greatest prevalence of T2D (37.5%) in the national population.”
From A review of current trends with type 2 diabetes epidemiology, aetiology, pathogenesis, treatments and future perspectives (2021) · cites this paper as [1]
In the citing paper
“The frequency of prediabetes is increasing as the prevalence of obesity rises worldwide.”
From The Vasculature in Prediabetes (2018) · cites this paper as [2]
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297
Decision making with the analytic hierarchy process
Saaty, T. L. (2008) · International Journal of Services Sciences · doi:10.1504/ijssci.2008.017590 · Cited by 10,301
Global estimates of the prevalence of diabetes for 2010 and 2030
Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.10.007 · Cited by 7,216
Self-citationIDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., Fernandes, J. D. D. R., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D. A., Shaw, J. E., & Makaroff, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 7,138
Self-citationGlobal Burden of Diabetes, 1995–2025: Prevalence, numerical estimates, and projections
King, H. O. M., Aubert, R. E., & Herman, W. H. (1998) · Diabetes Care · doi:10.2337/diacare.21.9.1414 · Cited by 6,294
IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. E. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.10.029 · Cited by 4,018
Self-citationPrevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031
Prevalence and Control of Diabetes in Chinese Adults
Xu, Y. (2013) · JAMA · doi:10.1001/jama.2013.168118 · Cited by 2,710
AGE STANDARDIZATION OF RATES: A NEW WHO STANDARD
Ahmad, O. B., Boschi-Pinto, C., López, A. D., Murray, C. J. L., Lozano, R., & Inoue, M. (2000) · Cited by 1,793
Research works printed but not linked: 2
- Djrolo, 2012, Prevalence of diabetes mellitus in the adult population at Cotonou, Benin, Med Mal Metab, 6, 167
- Borissova, 2006, Prevalence of diabetes in Bulgaria and the significance of the risk factors: age, obesity and family history, Endocrinologia, 7, 42
Cited by
Sorted by citations
Items 401–500 of 1,019
Seidu, S., Kunutsor, S. K., Cos, X., Gillani, S., & Khunti, K. (2018) · Primary Care Diabetes · doi:10.1016/j.pcd.2018.02.001 · Cited by 82
Orlando, G., Balducci, S., Bazzucchi, I., Pugliese, G., & Sacchetti, M. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2658 · Cited by 88
Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review
Holmen, H., Wahl, A. K., Småstuen, M. C., & Ribu, L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7045 · Cited by 86
The direct medical cost of type 2 diabetes mellitus in South Africa: a cost of illness study
Erzse, A., Stacey, N., Chola, L., Tugendhaft, A., Freeman, M. C., & Hofman, K. J. (2019) · Global Health Action · doi:10.1080/16549716.2019.1636611 · Cited by 82
Epidemiology of diabetes mellitus
Mekala, K. C., & Bertoni, A. G. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814833-4.00004-6 · Cited by 88
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
Pachori, R. B., Avinash, P., Shashank, K., Sharma, R. K., & Acharya, U. R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.01.051 · Cited by 83
Prevalence of and Risk Factors for Type 2 Diabetes Mellitus in Vietnam
Chung, N. T., Pham, N. M., Lee, A. H., & Binns, C. W. (2015) · Asia Pacific Journal of Public Health · doi:10.1177/1010539515595860 · Cited by 82
Tian, Z., Wang, J., Xu, M., Wang, Y., Zhang, M., & Zhou, Y. (2016) · Cellular Physiology and Biochemistry · doi:10.1159/000453216 · Cited by 82
Leahy, S., O’Halloran, A. M., Leary, N. O., Healy, M., McCormack, M., Kenny, R. A., & Connell, J. O. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.10.015 · Cited by 81
Religious Practices and Self-Care in Iranian Patients with Type 2 Diabetes
Heidari, S., Rezaei, M., Sajadi, M., Ajorpaz, N. M., & Koenig, H. G. (2016) · Journal of Religion and Health · doi:10.1007/s10943-016-0320-x · Cited by 81
Leti, F., & DiStefano, J. K. (2017) · Genes · doi:10.3390/genes8080207 · Cited by 82
Dong, Y., Wang, P., Dai, Z., Liu, K., Jin, Y., Li, A., Wang, S., & Zheng, J. (2018) · Medicine · doi:10.1097/md.0000000000013632 · Cited by 81
Physical activity and risk of diabetic retinopathy: a systematic review and meta-analysis
Ren, C., Liu, W., Li, J., Cao, Y., Xu, J., & Lu, P. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01319-4 · Cited by 88
Glucose and H 2 O 2 dual-sensitive nanogels for enhanced glucose-responsive insulin delivery
Li, C., Liu, X., Liu, Y., Huang, F., Wu, G., Liu, Y., Zhang, Z., Ding, Y., Lv, J., Ma, R., et al. (2019) · Nanoscale · doi:10.1039/c9nr01554j · Cited by 81
Wang, J., He, Y., Yu, D., Jin, L., Gong, X., & Zhang, B. (2019) · Food and Chemical Toxicology · doi:10.1016/j.fct.2019.110965 · Cited by 83
The Nigeria National Blindness and Visual Impairment Study Group, Kyari, F., Abubakar, T., Sivasubramaniam, S., Murthy, G. V. S., Pető, T., & Gilbert, C. E. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1299 · Cited by 81
Seong, S. H., Roy, A., Jung, H. A., Jung, H. J., & Choi, J. S. (2016) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2016.10.007 · Cited by 81
Li, Y., Wang, C., Huai, Q., Guo, F., Liu, L., Feng, R., & Sun, C. (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2641 · Cited by 80
Diabetes and Bone Marrow Adiposity
Kim, T. Y., & Schafer, A. L. (2016) · Current Osteoporosis Reports · doi:10.1007/s11914-016-0336-x · Cited by 80
Awareness of diabetic retinopathy among people with diabetes in Jeddah, Saudi Arabia
Alzahrani, S. H., Bakarman, M. A., Al‐Qahtani, S. M., Alqahtani, M. S., Butt, N. S., Salawati, E. M., Alkatheri, A., Malik, A. A., & Saad, K. (2018) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018818758621 · Cited by 80
Adesão ao tratamento de diabetes Mellitus e relação com a assistência na atenção primária
Santos, A. D. L., Marcon, S. S., Teston, É. F., Back, I. R., Lino, I. G. T., Batista, V. C., Matsuda, L. M., & Haddad, M. D. C. F. L. (2020) · Reme Revista Mineira de Enfermagem · doi:10.5935/1415-2762.20200008 · Cited by 80
Liu, X., Wu, S., Song, Q., & Wang, X. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.019045 · Cited by 84
Song, K., Yang, X., An, G., Xia, X., Zhao, J., Xu, X., Wan, C., Liu, T., Zheng, Y., Ren, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34990-3 · Cited by 83
Diabetes is Not Associated with Alzheimer’s Disease Neuropathology
Matioli, M. N. P. D. S., Suemoto, C. K., Rodriguez, R. D., Farias, D. S., da Silva, M. M., Leite, R. E. P., Ferretti‐Rebustini, R. E. D. L., Farfel, J. M., Pasqualucci, C. A., Filho, W. J., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170179 · Cited by 82
FAM3 gene family: A promising therapeutical target for NAFLD and type 2 diabetes
Zhang, X., Yang, W., Wang, J., Meng, Y., Guan, Y., & Yang, J. (2017) · Metabolism · doi:10.1016/j.metabol.2017.12.001 · Cited by 81
Gheibi, S., Bakhtiarzadeh, F., Jeddi, S., Farrokhfall, K., Zardooz, H., & Ghasemi, A. (2017) · Nitric Oxide · doi:10.1016/j.niox.2017.01.003 · Cited by 79
A narrative systematic review of factors affecting diabetes prevention in primary care settings
Messina, J., Campbell, S., Morris, R., Eyles, E., & Sanders, C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177699 · Cited by 85
Jaberi, S. Y. S., Ghaffarinejad, A., & Omidinia, E. (2019) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.06.018 · Cited by 79
Fan, M., Li, Y., Wang, C., Mao, Z., Zhou, W., Zhang, L., Yang, X., Cui, S., & Li, L. (2019) · Nutrients · doi:10.3390/nu11112783 · Cited by 81
Sadiya, A., Ahmed, S. M., Carlsson, M., Tesfa, Y., George, M., Ali, H., Siddieg, H. H., & Abusnana, S. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2014.251 · Cited by 80
Consuming insects: are there health benefits?
Roos, N., & van Huis, A. (2017) · Journal of Insects as Food and Feed · doi:10.3920/jiff2017.x007 · Cited by 79
Awareness of diabetic retinopathy among patients with type 2 diabetes mellitus in Jordan
Bakkar, M. M., Haddad, M. F., & Gammoh, Y. (2017) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s140841 · Cited by 78
Chang, H., Hawley, N. L., Kalyesubula, R., Siddharthan, T., Checkley, W., Knauf, F., & Rabin, T. L. (2019) · International Journal for Equity in Health · doi:10.1186/s12939-019-0934-1 · Cited by 78
Li, Y., Liu, Y., Liang, J., Wang, T., Sun, M., & Zhang, Z. (2019) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.9b04931 · Cited by 78
Sleep quality and its impact on glycaemic control in patients with type 2 diabetes mellitus
Zhu, B., Li, X., Wang, D., & Yu, X. (2014) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2014.05.020 · Cited by 78
Traditional Risk Factors for Stroke in East Asia
Kim, Y. D., Jung, Y. H., & Saposnik, G. (2016) · Journal of Stroke · doi:10.5853/jos.2016.00885 · Cited by 78
Indumathi, D., Sujithra, K., Srinivasan, S., & Vinothkumar, V. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.01.146 · Cited by 78
Dihydromyricetin Protects against Diabetic Cardiomyopathy in Streptozotocin-Induced Diabetic Mice
Wu, B., Lin, J. M., Luo, J., Han, D. H., Fan, M., Guo, T., Tao, L., Yuan, M., & Yi, F. (2017) · BioMed Research International · doi:10.1155/2017/3764370 · Cited by 78
Harding, J. L., Weber, M. B., & Shaw, J. E. (2024) · Wiley eBooks · doi:10.1002/9781119697473.ch3 · Cited by 80
Self-citationCall to action: A new path for improving diabetes care for Indigenous peoples, a global review
Harris, S. B., Tompkins, J. W., & TeHiwi, B. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.11.022 · Cited by 77
Wändell, P. E., & Carlsson, A. C. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.09.013 · Cited by 77
Evidence‐based Danish guidelines for screening of diabetic retinopathy
Grauslund, J., Andersen, N., Andresen, J., Flesner, P., Haamann, P., Heegaard, S., Larsen, M., Laugesen, C. S., Schielke, K. C., Skov, J., et al. (2018) · Acta Ophthalmologica · doi:10.1111/aos.13936 · Cited by 79
Abdulrhim, S. H., Sankaralingam, S., Ibrahim, M. I. M., & Awaisu, A. (2020) · Primary care diabetes · doi:10.1016/j.pcd.2019.12.007 · Cited by 83
Humphries, P. S., Bersot, R., Kincaid, J., Mabery, E. M., McCluskie, K., Park, T., Renner, T., Riegler, E., Steinfeld, T., Turtle, E. D., et al. (2015) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2015.12.102 · Cited by 78
Trends in Health Care Expenditure in U.S. Adults With Diabetes: 2002–2011
Ozieh, M. N., Bishu, K. G., Dismuke, C. E., & Egede, L. E. (2015) · Diabetes Care · doi:10.2337/dc15-0369 · Cited by 77
Autophagy ameliorates cognitive impairment through activation of PVT1 and apoptosis in diabetes mice
Li, Z., Hao, S., Yin, H., Gao, J., & Yang, Z. R. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.03.023 · Cited by 77
Cortez, D. N., Macêdo, M. M. L., Souza, D. A. S., dos Santos, J. C., Afonso, G. D. S., Reis, I. A., & Torres, H. D. C. (2017) · BMC Public Health · doi:10.1186/s12889-016-3937-5 · Cited by 77
The Role of High-Density Lipoproteins in Diabetes and Its Vascular Complications
Wong, N. K. P., Nicholls, S. J., Tan, J. T. M., & Bursill, C. A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19061680 · Cited by 77
Salidroside - Can it be a Multifunctional Drug?
Magani, S. K. J., Mupparthi, S. D., Gollapalli, B. P., Shukla, D., Tiwari, A. K., Gorantala, J., Yarla, N. S., & Tantravahi, S. (2020) · Current Drug Metabolism · doi:10.2174/1389200221666200610172105 · Cited by 76
Wu, L., Pu, H., Zhang, M., Hu, H., & Wan, Q. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03321-x · Cited by 76
Evidence for current diagnostic criteria of diabetes mellitus
Kumar, R., Nandhini, L. P., Kamalanathan, S., Sahoo, J., & Vivekanadan, M. (2016) · World Journal of Diabetes · doi:10.4239/wjd.v7.i17.396 · Cited by 82
Pre-Clinical Study for the Antidiabetic Potential of Selenium Nanoparticles
Ahmed, H. H., Abdelmaksoud, M. D. E., Moneim, A. E. A., & Aglan, H. A. (2016) · Biological Trace Element Research · doi:10.1007/s12011-016-0876-z · Cited by 76
Cazzell, S. M., Vayser, D., Pham, H., Walters, J. L., Reyzelman, A. M., Samsell, B. J., Dorsch, K., & Moore, M. A. (2017) · Wound Repair and Regeneration · doi:10.1111/wrr.12551 · Cited by 76
Diabetes-related information-seeking behaviour: a systematic review
Kuske, S., Schiereck, T., Grobosch, S., Paduch, A., Droste, S., Halbach, S. M., & Icks, A. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0602-8 · Cited by 76
Zimbudzi, E., Lo, C., Misso, M. L., Ranasinha, S., Kerr, P. G., Teede, H. J., & Zoungas, S. (2018) · Systematic Reviews · doi:10.1186/s13643-018-0748-z · Cited by 76
Chen, Q., Su, Y., Ju, Y., Ma, K., Li, W., & Li, W. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.09.049 · Cited by 76
Nittas, V., Lun, P., Ehrler, F., Puhan, M. A., & Mütsch, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13320 · Cited by 76
Han, L., Ma, Y., Wei, S., Tian, J., Yang, X., Shen, X., Zhang, J., & Shi, Y. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12630 · Cited by 75
Khurana, A., Tekula, S., & Godugu, C. (2018) · Nanomedicine · doi:10.2217/nnm-2018-0085 · Cited by 75
Artificial intelligence-based screening for diabetic retinopathy at community hospital
He, J., Cao, T., Xu, F., Wang, S., Tao, H., Wu, T., Sun, L., & Chen, J. (2019) · Eye · doi:10.1038/s41433-019-0562-4 · Cited by 75
Zhu, J., Wu, M., Zhou, H. J., Cheng, L., Wei, X., & Wang, Y. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110594 · Cited by 75
Novel Biomarkers to Improve the Prediction of Cardiovascular Event Risk in Type 2 Diabetes Mellitus
van der Leeuw, J., Beulens, J. W. J., van Dieren, S., Schalkwijk, C. G., Glatz, J. F. C., Hofker, M. H., Verschuren, W. M. M., Boer, J. M. A., van der Graaf, Y., Visseren, F. L. J., et al. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.003048 · Cited by 76
Ali, O., Cerjak, D., Kent, J. W., James, R. G., Blangero, J., Carless, M. A., & Zhang, Y. (2016) · Epigenetics · doi:10.1080/15592294.2016.1216284 · Cited by 75
Survival Analysis of Implant in Patients With Diabetes Mellitus
Annibali, S., Pranno, N., Cristalli, M. P., Monaca, G. L., & Polimeni, A. (2016) · Implant Dentistry · doi:10.1097/id.0000000000000478 · Cited by 75
Qiao, Y.-C., Chen, Y.-L., Pan, Y.-H., Wei, L., Tian, F., Zhang, X., & Zhao, H. (2017) · Medicine · doi:10.1097/md.0000000000006583 · Cited by 75
Olivera, A. R., Roesler, V., Iochpe, C., Schmidt, M. I., Vigo, Á., Barreto, S. M., & Duncan, B. B. (2017) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2016.0309010217 · Cited by 79
Molecular targets and mechanisms of bioactive peptides against metabolic syndromes
Li, S., Liu, L., He, G., & Wu, J. (2017) · Food & Function · doi:10.1039/c7fo01323j · Cited by 75
on Behalf of the Taskforce Team of Diabetes Fact Sheet of the Korean Diabetes Association, Jung, C. H., Chung, J. O., Han, K., Ko, S.-H., Ko, K. S., & Park, J.-Y. (2017) · Cardiovascular Diabetology · doi:10.1186/s12933-016-0482-6 · Cited by 74
Virtanen, J. K., Mursu, J., Tuomainen, T., Virtanen, H. E., & Voutilainen, S. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.104109 · Cited by 76
Glucose-responsive insulin release: Analysis of mechanisms, formulations, and evaluation criteria
Yang, J., & Cao, Z. (2017) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.01.043 · Cited by 74
Shirinzadeh, M., Afshin‐Pour, B., Angeles, R. N., Gaber, J., & Agarwal, G. (2019) · Globalization and Health · doi:10.1186/s12992-019-0451-4 · Cited by 78
Karimi‐Nazari, E., Nadjarzadeh, A., Masoumi, R., Marzban, A., Mohajeri, S. A., Ramezani‐Jolfaie, N., & Salehi‐Abargouei, A. (2019) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.07.012 · Cited by 74
Archer, A. C., Peddha, M. S., & Halami, P. M. (2021) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-021-09744-0 · Cited by 75
Tao, S., Li, X., Wei, W.-J., Wei, Z., Zhang, C., Wang, F., Dawes, H., & Guo, S. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121465 · Cited by 78
The prevalence of type 2 diabetes among older people in Africa: a systematic review
Werfalli, M., Engel, M. E., Musekiwa, A., Kengne, A. P., & Levitt, N. S. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00363-0 · Cited by 74
Jaacks, L. M., Kapoor, D., Singh, K., Narayan, K. M. V., Ali, M. K., Kadir, M., Mohan, V., Tandon, N., & Prabhakaran, D. (2016) · Nutrition · doi:10.1016/j.nut.2016.02.011 · Cited by 74
Guo, X., Mu, D., & Gao, F. (2017) · International Journal of Surgery · doi:10.1016/j.ijsu.2017.02.008 · Cited by 74
Asrafuzzaman, M., Cao, Y., Afroz, R., Kamato, D., Gray, S. G., & Little, P. J. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.03.010 · Cited by 74
Oldenkamp, R., Hoeks, S., Čengić, M., Barbarossa, V., Burns, E. E., Boxall, A. B. A., & Ragas, A. M. J. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b03862 · Cited by 73
Tea Polysaccharides as Potential Therapeutic Options for Metabolic Diseases
Chen, G., Chen, R., Chen, D., Ye, H., Hu, B., Zeng, X., & Liu, Z. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b05338 · Cited by 73
Bhimavarapu, U., & Battineni, G. (2022) · Healthcare · doi:10.3390/healthcare11010097 · Cited by 73
Alharbi, N., AlMutairi, R. I., Jones, S., Al‐Daghri, N. M., Khunti, K. K., & de Lusignan, S. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.08.019 · Cited by 73
Manyema, M., Veerman, L. J., Chola, L., Tugendhaft, A., Labadarios, D., & Hofman, K. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143050 · Cited by 83
Malik, A. N., Parsade, C. K., Ajaz, S., Crosby‐Nwaobi, R., Gnudi, L., Czajka, A., & Sivaprasad, S. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.10.006 · Cited by 73
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Adedara, I. A., Fasina, O. B., Ayeni, M. F., Ajayi, O. M., & Farombi, E. O. (2018) · Food and Chemical Toxicology · doi:10.1016/j.fct.2018.12.040 · Cited by 73
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Tahir, U. A., & Gerszten, R. E. (2023) · Circulation Research · doi:10.1161/circresaha.123.322000 · Cited by 78
Hou, Y., Xiang, J., Wang, B., Duan, S., Song, R., Zhou, W., Tan, S., & He, B. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1263650 · Cited by 72
Nanri, A., Nakagawa, T., Kuwahara, K., Yamamoto, S., Honda, T., Okazaki, H., Uehara, A., Yamamoto, M., Miyamoto, T., Kochi, T., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142779 · Cited by 76
Walker, I., Garbe, F., Wright, J. M., Newell, I., Athiraman, N. K., Khan, N., & Elsey, H. (2017) · Value in Health Regional Issues · doi:10.1016/j.vhri.2017.05.003 · Cited by 72
Shivavedi, N., Kumar, M., Tej, G. N. V. C., & Nayak, P. K. (2017) · Brain Research · doi:10.1016/j.brainres.2017.08.019 · Cited by 72
Mansournia, M. A., Ostadmohammadi, V., Doosti‐Irani, A., Ghayour‐Mobarhan, M., Ferns, G. A., Akbari, H., Ghaderi, A., Talari, H. R., & Asemi, Z. (2018) · Hormone and Metabolic Research · doi:10.1055/a-0630-1303 · Cited by 72
Rajasekar, P., O’Neill, C. L., Eeles, L., Stitt, A. W., & Medina, R. J. (2015) · Journal of Diabetes Research · doi:10.1155/2015/436879 · Cited by 71
Chikowore, T., Pisa, P., van Zyl, T., Feskens, E. J. M., Wentzel‐Viljoen, E., & Conradie, K. R. (2017) · Nutrients · doi:10.3390/nu9010009 · Cited by 71
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Metadata
- Authors
- Guariguata, L., Whiting, D. R., Hambleton, I., Beagley, J., Linnenkamp, U., & Shaw, J. E.
- Affiliations
- International Diabetes Federation (BE)
- University of the West Indies (BB)
- Baker Heart and Diabetes Institute (AU)
- Corresponding author
- Guariguata, L.
- Venue
- Diabetes Research and Clinical Practice
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 103
- Issue
- 2
- Pages
- 137-149
- ISSN
- 0168-8227 (ISSN-L)
- OpenAlex
- W2139923324
- Cited by
- 4,642
- References
- 87
- Citations by year
- 2026: 79 · 2025: 146 · 2024: 251 · 2023: 272 · 2022: 364 · 2021: 455 · 2020: 465 · 2019: 518 · 2018: 500 · 2017: 581 · 2016: 477 · 2015: 339 · 2014: 178
- FWCI
- 264.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Research and Clinical Practice (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eli Lilly and Company
- Pfizer
- Sanofi
- Novo Nordisk
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
- Keywords
- diabetes prevalence, diabetes projections, age-specific prevalence, low- and middle-income countries, global health burden, population projections, analytic hierarchy process
- MeSH terms
- Developing Countries, Diabetes Mellitus, Forecasting, Health Resources, Humans, Global Health, Prevalence
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