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 1,001–1,019 of 1,019
Sadiya, A., Ahmed, S. M., Carlsson, M., Tesfa, Y., George, M., Ali, S. H., Siddieg, H. H., & Abusnana, S. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2015.02.017 · Cited by 34
Sawada, Y., Izumida, Y., Takeuchi, Y., Aita, Y., Wada, N., Li, E., Murayama, Y., Piao, X., Shikama, A., Masuda, Y., et al. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.09.081 · Cited by 31
Hu, R., Li, Y., Lv, Q., Wu, T., & Tong, N. (2015) · Clinical Therapeutics · doi:10.1016/j.clinthera.2015.05.504 · Cited by 32
Podocyte-specific knockin of PTEN protects kidney from hyperglycemia
Wang, H., Feng, Z., Xie, J., Wen, F., Jv, M., Liang, T., Li, J., Wang, Y., Zuo, Y., Li, S., et al. (2018) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00575.2017 · Cited by 28
Savvidou, S., Karatzidou, K., Tsakiri, K., Gagalis, A., Hytiroglou, P., & Goulis, J. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.12.003 · Cited by 30
Kim, M. T., Kim, K. B., Nguyen, T. H., Ko, J., Zabora, J., Jacobs, E., & Levine, D. (2019) · Patient Education and Counseling · doi:10.1016/j.pec.2018.10.021 · Cited by 28
Du, Q., Wang, Y.-J., Yang, S., Zhao, Y.-Y., & Han, P. (2014) · Advances in Therapy · doi:10.1007/s12325-014-0164-2 · Cited by 26
Seidu, S., Kunutsor, S. K., Topsever, P., & Khunti, K. (2022) · Endocrinology, Diabetes & Metabolism · doi:10.1002/edm2.303 · Cited by 25
Sapkota, B., Subramanian, A., Priamvada, G., Finely, H., Blackett, P. R., Aston, C. E., & Sanghera, D. K. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.07.025 · Cited by 25
Kubota, M., Watanabe, R., Yamaguchi, M., Hosojima, M., Saito, A., Fujii, M., Fujimura, S., & Kadowaki, M. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516003512 · Cited by 25
Wardecki, T., Werner, P., Thomas, M., Templin, M. F., Schmidt, G., Brandner, J. M., & Merfort, I. (2016) · Journal of Natural Products · doi:10.1021/acs.jnatprod.6b00027 · Cited by 23
Mechanism of cardiovascular disease benefit of glucagon-like peptide 1 agonists
Reed, J., Kanamarlapudi, V., & Bain, S. (2018) · Cardiovascular Endocrinology & Metabolism · doi:10.1097/xce.0000000000000147 · Cited by 16
Kubota, M., Yamamoto, K., & Yoshiyama, S. (2023) · Cureus · doi:10.7759/cureus.46490 · Cited by 16
Blanco-Rojo, R., Delgado-Lista, J., Lee, Y.-C., Lai, C.-Q., Perez-Martinez, P., Rangel-Zuñiga, O., Smith, C. E., Hidalgo, B., Alcala-Diaz, J. F., Gomez-Delgado, F., et al. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.130898 · Cited by 15
Onishi, Y., Niemoeller, E., Ikeda, Y., Takagi, H., Yabe, D., & Seino, Y. (2015) · Journal of Diabetes Investigation · doi:10.1111/jdi.12275 · Cited by 13
Ning, G., Bandgar, T., Hehnke, U., Lee, J., & Chan, J. C. N. (2017) · Advances in Therapy · doi:10.1007/s12325-017-0595-7 · Cited by 13
Berardet, C., Kaffy, J., Ongeri, S., & Taverna, M. (2018) · Journal of Chromatography A · doi:10.1016/j.chroma.2018.10.006 · Cited by 11
Piras, A., & Raffi, M. (2023) · doi:10.20944/preprints202309.0363.v1 · Cited by 10
Hu, Z., & Zhang, M. (2021) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23833 · Cited by 5
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