The DOI matches its Crossref record; 76 of the 87 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 201–300 of 1,019
Moraes, É. A., Marineli, R. D. S., Lenquiste, S. A., Steel, C. J., Menezes, C. B. D., Queiroz, V. A. V., & Maróstica Júnior, M. R. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2015.02.023 · Cited by 132
Sun, N., Lou, P., Shang, Y., Zhang, P., Wang, J., Chang, G., & Shi, C. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012540 · Cited by 132
Meshkani, R., & Vakili, S. (2016) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.08.015 · Cited by 136
Heidemann, C., Du, Y., Paprott, R., Haftenberger, M., Rathmann, W., & Scheidt‐Nave, C. (2015) · Diabetic Medicine · doi:10.1111/dme.13008 · Cited by 143
Feng, S., Yu, H., Yu, Y., Geng, Y., Li, D., Yang, C., Lv, Q., Li, L., Liu, T., Li, G., et al. (2018) · Journal of Diabetes Research · doi:10.1155/2018/8546423 · Cited by 137
Saravanakumar, K., Park, S., Mariadoss, A. V. A., Sathiyaseelan, A., Veeraraghavan, V. P., Kim, S. J., & Wang, M. (2021) · Food and Chemical Toxicology · doi:10.1016/j.fct.2021.112374 · Cited by 131
Jamal, A. A., Khan, S., AlHumud, A., Al-Duhyyim, A., Alrashed, M., Shabr, F. B., Alteraif, A., Almuziri, A., Househ, M. S., & Qureshi, R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4312 · Cited by 139
Prevalence and determinants of diabetes among older adults in Ghana
Gatimu, S. M., Milimo, B., & Sebastiån, M. S. (2016) · BMC Public Health · doi:10.1186/s12889-016-3845-8 · Cited by 130
Carlsson, L. M. S., Sjöholm, K., Karlsson, C., Jacobson, P., Andersson‐Assarsson, J. C., Svensson, P., Larsson, I., Hjorth, S., Neovius, M., Taube, M., et al. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30061-x · Cited by 132
Health at a Glance: Europe 2014
OECD, & Union, E. (2014) · Health at a glance. Europe · doi:10.1787/health_glance_eur-2014-en · Cited by 130
Unraveling the Puzzle: Health Benefits of Probiotics—A Comprehensive Review
Gul, S., & Durante‐Mangoni, E. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13051436 · Cited by 139
The Physiological Effects of Dandelion ( Taraxacum Officinale ) in Type 2 Diabetes
Wirngo, F. E., Lambert, M. N. T., & Jeppesen, P. B. (2016) · The Review of Diabetic Studies · doi:10.1900/rds.2016.13.113 · Cited by 136
Wu, Y., Zhang, D., Jiang, X., & Jiang, W. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.10.004 · Cited by 138
Cost-of-illness studies of diabetes mellitus: A systematic review
Ng, C. S., Lee, J. Y. C., Toh, M. P. H., & Ko, Y. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.03.020 · Cited by 134
Ross, S. A., Gerstein, H. C., Eikelboom, J. W., Anand, S. S., Yusuf, S., & Paré, G. (2015) · European Heart Journal · doi:10.1093/eurheartj/ehv083 · Cited by 131
Ng, S. H., Robert, S. D., Ahmad, W. A. N. W., & Ishak, W. R. W. (2017) · Food Chemistry · doi:10.1016/j.foodchem.2017.01.108 · Cited by 132
An Overview of the Role of Adipokines in Cardiometabolic Diseases
Farkhondeh, T., Llorens, S., Pourbagher‐Shahri, A. M., Ashrafizadeh, M., Talebi, M., Shakibaei, M., & Samarghandian, S. (2020) · Molecules · doi:10.3390/molecules25215218 · Cited by 127
Resveratrol and curcumin enhance pancreatic β-cell function by inhibiting phosphodiesterase activity
Rouse, M. D., Younès, A., & Egan, J. M. (2014) · Journal of Endocrinology · doi:10.1530/joe-14-0335 · Cited by 127
Islam, M. A., Alam, F., Solayman, M., Khalil, M. I., Kamal, M. A., & Gan, S. H. (2016) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2016/5137431 · Cited by 127
A systematic review of risk factors for cataract in type 2 diabetes
Drinkwater, J. J., Davis, W. A., & Davis, T. M. E. (2018) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3073 · Cited by 127
Innovations in gene and growth factor delivery systems for diabetic wound healing
Laiva, A. L., O’Brien, F. J., & Keogh, M. B. (2017) · Journal of Tissue Engineering and Regenerative Medicine · doi:10.1002/term.2443 · Cited by 124
Denova‐Gutiérrez, E., Muñoz-Aguirre, P., Shivappa, N., Hébert, J. R., Tolentino‐Mayo, L., Batis, C., & Barquera, S. (2018) · Nutrients · doi:10.3390/nu10040385 · Cited by 126
Prevalencia de diabetes y descontrol glucémico en México: resultados de la Ensanut 2016
Basto-Abreu, A. C., Barrientos‐Gutiérrez, T., Rojas, R., Aguilar-Salinas, C. A., López‐Olmedo, N., la Cruz-Góngora, V. V. D., Rivera, J. Á., Shamah‐Levy, T., Martínez, M. R., Barquera, S., et al. (2019) · Salud Pública de México · doi:10.21149/10752 · Cited by 135
Lao, A., Wu, J., Li, D., Shen, A., Li, Y., Zhuang, Y., Lin, K., Wu, J., & Liu, J. (2023) · Small · doi:10.1002/smll.202206919 · Cited by 123
Nanogels: Synthesis, properties, and recent biomedical applications
Duan, Q., Zhu, Y., Jia, H., Wang, S., & Wu, F. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101167 · Cited by 124
Hyperglycaemia Enhances Nitric Oxide Production in Diabetes: A Study from South Indian Patients
Adela, R., Nethi, S. K., Bagul, P. K., Barui, A. K., Mattapally, S., Kuncha, M., Patra, C. R., Reddy, P. N. C., & Banerjee, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125270 · Cited by 122
Gu, Y., Li, H., Bao, X., Zhang, Q., Liu, L., Meng, G., Wu, H., Du, H., Shi, H., Xia, Y., et al. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2965 · Cited by 123
Pendharkar, S. A., Mathew, J., & Petrov, M. S. (2016) · Digestive and Liver Disease · doi:10.1016/j.dld.2016.12.010 · Cited by 123
Lin, K., Park, C., Li, M., Wang, X., Li, X., Li, W., & Quinn, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.013 · Cited by 122
Nanayakkara, N., Pease, A., Ranasinha, S., Wischer, N., Andrikopoulos, S., Speight, J., de Courten, B. V., & Zoungas, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-26138-5 · Cited by 125
Ravaut, M., Sadeghi, H., Leung, K. K., Volkovs, M., Kornas, K., Harish, V., Watson, T., Lewis, G. F., Weisman, A., Poutanen, T., et al. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00394-8 · Cited by 121
Phenformin as an Anticancer Agent: Challenges and Prospects
Rubiño, M. E. G., Carrillo, E., Ruiz-Alcalá, G., Domínguez‐Martín, A., Marchal, J. A., & Boulaiz, H. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20133316 · Cited by 125
Resistance training to improve type 2 diabetes: working toward a prescription for the future
Pesta, D. H., Goncalves, R. L. S., Madiraju, A. K., Strasser, B., & Sparks, L. M. (2017) · Nutrition & Metabolism · doi:10.1186/s12986-017-0173-7 · Cited by 120
The Challenges in the Development of Diabetes Prevention and Care Models in Low-Income Settings
Karachaliou, F., Simatos, G., & Simatou, A. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00518 · Cited by 120
White, J. S., Hamad, R., Li, X., Basu, S., Ohlsson, H., Sundquist, J., & Sundquist, K. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30009-2 · Cited by 120
Impact of antidiabetic agents on dementia risk: A Bayesian network meta-analysis
Zhou, J., Tang, X., Han, M., Yang, J., & Simó, R. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154265 · Cited by 122
Sarcopenia: a potential cause and consequence of type 2 diabetes in Australia's ageing population?
Scott, D. S., de Courten, B. V., & Ebeling, P. R. (2016) · The Medical Journal of Australia · doi:10.5694/mja16.00446 · Cited by 121
Ainuddin, J., Karim, N., Hasan, A. A., & Naqvi, S. A. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.10.001 · Cited by 118
Insulin decreases autophagy and leads to cartilage degradation
Ribeiro, M. P., de Figueroa, P. L., Blanco, F. J., Mendes, A. F., & Caramés, B. (2015) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2015.10.017 · Cited by 118
Javanbakht, M., Mashayekhi, A., Baradaran, H. R., Haghdoost, A. A., & Afshin, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132505 · Cited by 117
Abutair, A. S., Naser, I. A., & Hamed, A. T. (2016) · Nutrition Journal · doi:10.1186/s12937-016-0207-4 · Cited by 117
Sugeno, A., Ishikawa, Y., Ohshima, T., & Muramatsu, R. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104795 · Cited by 117
Metabolic syndrome in type 2 diabetic patients: a review of current evidence
Regufe, V. M. G., Pinto, C., & Perez, P. M. V. H. C. (2020) · Porto Biomedical Journal · doi:10.1097/j.pbj.0000000000000101 · Cited by 116
Remschmidt, C., Wichmann, O., & Harder, T. (2015) · BMC Medicine · doi:10.1186/s12916-015-0295-6 · Cited by 115
“Although a shift towards younger ages has been observed in the manifestation of diabetes in several industrialized countries [40-43], no studies were identified which reported data on influenza VE in diabetic children or adolescents.”
BackgroundCampochiaro, P. A., Khanani, A. M., Singer, M. A., Patel, S. S., Boyer, D. S., Dugel, P. U., Kherani, S., Withers, B., Gambino, L. F., Peters, K. G., et al. (2016) · Ophthalmology · doi:10.1016/j.ophtha.2016.04.025 · Cited by 115
Vreman, R. A., Goodell, A. J., Rodríguez, L. A., Porco, T. C., Lustig, R. H., & Kahn, J. G. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013543 · Cited by 116
Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors
Zsichla, L., & Müller, V. (2023) · Viruses · doi:10.3390/v15010175 · Cited by 121
Prevalence of Type 2 Diabetes Mellitus in the General Population of Saudi Arabia, 2000–2020
Jarrar, M., Abusalah, M. A. H., Albaker, W. I., Al‐Bsheish, M., Alsyouf, A., Al‐Mugheed, K., Issa, M. R., & Alumran, A. K. (2023) · Saudi Journal of Medicine and Medical Sciences · doi:10.4103/sjmms.sjmms_394_22 · Cited by 118
Probiotics for the management of type 2 diabetes mellitus: A systematic review and meta-analysis
Samah, S., Ramasamy, K., Lim, S. M., & Neoh, C. F. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.06.014 · Cited by 112
Liver disease and diabetes: Association, pathophysiology, and management
Ahmadieh, H., & Azar, S. T. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.01.003 · Cited by 112
Wang, C., Wan, S., Yang, T., Niu, D., Zhang, A., Yang, C., Cai, J., Wu, J., Song, J., Zhang, C., et al. (2016) · Scientific Reports · doi:10.1038/srep20032 · Cited by 113
Ballotari, P., Vicentini, M., Manicardi, V., Gallo, M., Ranieri, S. C., Greci, M., & Rossi, P. G. (2017) · BMC Cancer · doi:10.1186/s12885-017-3696-4 · Cited by 112
Zhou, J., Min, M., Liu, Y., Tang, J., & Tang, W. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.01.072 · Cited by 112
Yuan, Y. L., Xiao, Y., Yu, Y., Liu, Y., Feng, W. H., Qiu, G., Wang, H., Liu, B., Wang, J., Zhou, L., et al. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.01.046 · Cited by 113
Dalton, A. M., Jones, A. P., Sharp, S. J., Cooper, A. J. M., Griffin, S., & Wareham, N. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3833-z · Cited by 111
Wang, M., Wang, S., Yao, D., Qin, Y., & Lu, W. (2016) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2016.02.020 · Cited by 111
Ruffino, J. S., Songsorn, P., Haggett, M., Edmonds, D., Robinson, A. M., Thompson, D., & Vollaard, N. B. J. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2016-0497 · Cited by 118
Law, K. P., & Zhang, H. (2017) · Clinica Chimica Acta · doi:10.1016/j.cca.2017.02.008 · Cited by 116
Zhao, L., Gu, Q., Xiang, L.-T., Dong, X., Li, H., Ni, J., Wan, L., Cai, G., & Chen, G. (2017) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s141738 · Cited by 111
Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images
Zhou, L., Zhao, Y., Yang, J., Yu, Q., & Xu, X. (2017) · IET Image Processing · doi:10.1049/iet-ipr.2017.0636 · Cited by 111
Heshmati, J., Namazi, N., Memarzadeh, M. R., Taghizadeh, M., & Kolahdooz, F. (2015) · Food Research International · doi:10.1016/j.foodres.2015.01.030 · Cited by 111
Diabetes in South and Central America: An update
Aschner, P. J., Aguilar-Salinas, C. A., Aguirre, L., Franco, L. J., Gagliardino, J. J., de Lapertosa, S. G., Seclen, S. N., & Vinocour, M. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.010 · Cited by 110
Yang, J., Wang, C., Guo, C., Yang, W., Yu, S., Zhai, H., & Pan, Y.-L. (2015) · BMC Surgery · doi:10.1186/s12893-015-0074-5 · Cited by 110
Wild, S. H., Hanley, J., Lewis, S. C., McKnight, J. A., McCloughan, L. B., Padfield, P. L., Parker, R. A., Paterson, M., Pinnock, H., Sheikh, A., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002098 · Cited by 118
Javid, A. Z., Hormoznejad, R., Yousefimanesh, H. A., Zakerkish, M., Haghighizadeh, M. H., Dehghan, P., & Ravanbakhsh, M. (2016) · Phytotherapy Research · doi:10.1002/ptr.5737 · Cited by 110
Tritschler, S., Theis, F. J., Lickert, H., & Böttcher, A. (2017) · Molecular Metabolism · doi:10.1016/j.molmet.2017.06.021 · Cited by 112
Diabetes mellitus and nature’s pharmacy of putative antidiabetic plants
Chinsembu, K. C. (2018) · Journal of Herbal Medicine · doi:10.1016/j.hermed.2018.09.001 · Cited by 110
Liu, X., Zheng, Y., Guasch‐Ferré, M., Ruiz‐Canela, M., Toledo, E., Clish, C. B., Liang, L., Razquín, C., Corella, D., Estruch, R., et al. (2019) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2019.06.005 · Cited by 111
Nishimura, R., Tanaka, Y., Koiwai, K., Inoue, K., Hach, T., Salsali, A., Lund, S. S., & Broedl, U. C. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-014-0169-9 · Cited by 109
Antidiabetic Drugs: Mechanisms of Action and Potential Outcomes on Cellular Metabolism
Meneses, M. J., Silva, B. M., Sousa, M., Sá, R., Oliveira, P. F., & Alves, M. G. (2015) · Current Pharmaceutical Design · doi:10.2174/1381612821666150710145753 · Cited by 112
Esteves, J. V. D. C., Enguita, F. J., & Machado, U. F. (2017) · Journal of Diabetes Research · doi:10.1155/2017/7267910 · Cited by 109
Bazyar, H., Gholinezhad, H., Moradi, L., Salehi, P., Abadi, F., Ravanbakhsh, M., & Javid, A. Z. (2018) · Inflammopharmacology · doi:10.1007/s10787-018-0539-0 · Cited by 109
Chen, J., Shao-fu, W., Zhang, Q., Yin, Z., & Zhang, L. (2019) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2019.09.091 · Cited by 109
Amagloh, F. C., Yada, B., Tumuhimbise, G. A., Amagloh, F. K., & Kaaya, A. N. (2021) · Molecules · doi:10.3390/molecules26102971 · Cited by 118
Awareness, Treatment, and Control of Diabetes in Bangladesh: A Nationwide Population-Based Study
Rahman, M. S., Akter, S., Abe, S. K., Islam, M. R., Mondal, M. N. I., Rahman, J. A. M. S., & Rahman, M. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118365 · Cited by 117
Verma, H., & Garg, R. (2017) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12454 · Cited by 108
A Review of Rice Starch Digestibility: Effect of Composition and Heat‐Moisture Processing
Khatun, A., Waters, D. L., & Liu, L. (2019) · Starch - Stärke · doi:10.1002/star.201900090 · Cited by 109
Prevalence and Risk Factor of Diabetic Foot Ulcers in a Regional Hospital, Eastern Indonesia
Yusuf, S., Okuwa, M., Irwan, M., Rassa, S., Laitung, B., Thalib, A. H. S., Kasim, S., Sanada, H., Nakatani, T., & Sugama, J. (2016) · Open Journal of Nursing · doi:10.4236/ojn.2016.61001 · Cited by 106
Yang, J.-P., He, H., & Lü, Y. (2014) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf501931m · Cited by 106
Effect of probiotics on metabolic profiles in type 2 diabetes mellitus
Li, C., Li, X., Han, H., Cui, H., Peng, M., Wang, G., & Wang, Z. (2016) · Medicine · doi:10.1097/md.0000000000004088 · Cited by 108
Role of Haptoglobin in Health and Disease: A Focus on Diabetes
MacKellar, M., & Vigerust, D. J. (2016) · Clinical Diabetes · doi:10.2337/diaclin.34.3.148 · Cited by 106
Gao, L., Wang, X., Guo, S., Xiao, L., Liang, C., Zheng, W., Li, Y., Liu, Y., Yao, R., Liu, Y., et al. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27296 · Cited by 106
González-Gonzalo, C., Sánchez-Gutiérrez, V., Hernández-Martínez, P., Contreras, I., Lechanteur, Y. T. E., Domanian, A., van Ginneken, B., & Sánchez, C. I. (2019) · Acta Ophthalmologica · doi:10.1111/aos.14306 · Cited by 113
Zou, Y., Zhong, L., Hu, C., & Sheng, G. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01419-z · Cited by 106
Pathogenesis and Clinical Significance of In-Stent Restenosis in Patients with Diabetes
Jakubiak, G. K., Pawlas, N., Cieślar, G., & Stanek, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182211970 · Cited by 107
Sodium glucose cotransporter 2 inhibition in the diabetic kidney
Novikov, A., & Vallon, V. (2015) · Current Opinion in Nephrology & Hypertension · doi:10.1097/mnh.0000000000000187 · Cited by 106
Wang, F., Wang, S., Zong, Q. ‐., Zhang, Q., Ng, C. H., Ungvari, G. S., & Xiang, Y. ‐. (2019) · Diabetic Medicine · doi:10.1111/dme.14042 · Cited by 105
Albai, O., Frandeș, M., Timar, R. Z., Roman, D., & Timar, B. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s189905 · Cited by 111
Diabetes Prevalence in Sweden at Present and Projections for Year 2050
Andersson, T., Ahlbom, A., & Carlsson, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143084 · Cited by 104
Fogelholm, M., Larsen, T. M., Westerterp‐Plantenga, M. S., Macdonald, I. A., Martínez, J. A., Boyadjieva, N. I., Poppitt, S. D., Schlicht, W. M., Stratton, G., Sundvall, J., et al. (2017) · Nutrients · doi:10.3390/nu9060632 · Cited by 109
Wu, J., Xun, P., Tang, Q., Cai, W., & He, K. (2017) · Nutrition Journal · doi:10.1186/s12937-017-0280-3 · Cited by 105
Diabetic retinopathy may predict the renal outcomes of patients with diabetic nephropathy
Zhang, J., Wang, Y., Li, L., Zhang, R., Guo, R., Li, H., Han, Q., Teng, G., & Liu, F. (2018) · Renal Failure · doi:10.1080/0886022x.2018.1456453 · Cited by 106
Melatonin: new insights on its therapeutic properties in diabetic complications
Pourhanifeh, M. H., Hosseinzadeh, A., Dehdashtian, E., Hemati, K., & Mehrzadi, S. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00537-z · Cited by 107
Peng, J., Zhao, F., Yang, X., Pan, X., Xin, J., Wu, M., & Peng, Y. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-042821 · Cited by 104
How people living with diabetes in Indonesia learn about their disease: A grounded theory study
Ligita, T., Wicking, K., Francis, K. L., Harvey, N., & Nurjannah, I. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212019 · Cited by 103
Hwang, S.-H., Lee, D. H., Min, J., & Jeon, J. Y. (2019) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2019.01.002 · Cited by 106
Stacey, H. J., Clements, C. S., Welburn, S. C., & Jones, J. D. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01301-0 · Cited by 103
Oxidative Stress and Male Infertility: Evidence From a Research Perspective
Ayad, B. M., Omolaoye, T. S., Louw, N., Ramsunder, Y., Skosana, B. T., Oyeipo, P. I., & du Plessis, S. S. (2022) · Frontiers in Reproductive Health · doi:10.3389/frph.2022.822257 · Cited by 103
Jans, A., Näslund, I., Ottosson, J., Szabó, É., Näslund, E. B., & Stenberg, E. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002985 · Cited by 109
Synthesis and anti-α-glucosidase activity evaluation of betulinic acid derivatives
Wu, X.-Z., Zhu, W., Lu, L., Hu, C., Zheng, Y., Zhang, X., Lin, J., Wu, J.-Y., Xiong, Z., Zhang, K., et al. (2023) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2023.104659 · Cited by 102
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
