Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 861

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Global and regional estimates and projections of diabetes-related health expenditure: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

Williams, Rhys, Karuranga, Suvi, Malanda, Belma, Saeedi, Pouya, Basit, Abdul, Besançon, Stéphane, Bommer, Christian, Esteghamati, Alireza, Ogurtsova, Katherine, Zhang, Ping, Colagiuri, Stephen·2020·Diabetes Research and Clinical Practice

Abstract

AIMS Diabetes and its complications have a significant economic impact on individuals and their families, health systems and national economies. METHODS The direct health expenditure of diabetes was calculated relying on the following inputs: diagnosed and undiagnosed diabetes prevalence estimates, United Nations population estimates, World Health Organization health expenditure per capita and ratios of health expenditure for people with diabetes compared to people without diabetes. RESULTS The estimated global direct health expenditure on diabetes in 2019 is USD 760 billion and is expected to grow to a projected USD 825 billion by 2030 and USD 845 billion by 2045.There is a wide variation in annual health expenditures on diabetes. The United States of America has the highest estimated expenditure with USD 294.6 billion, followed by China and Brazil, with USD 109.0 billion and USD 52.3 billion, respectively. The age group with the largest annual diabetes-related health expenditure is 60-69 years with USD 177.7 billion, followed by 50-59 years, and 70-79 years with USD 173.0 billion and USD 171.5 billion, respectively Slightly higher diabetes-related health expenditure is seen in women than in men (USD 382.6 billion vs. USD 377.6 billion, respectively). The same difference is expected to be present in 2030 and 2045. CONCLUSIONS There were large disparities between high-, middle- and low-income countries with total health expenditures in high-income countries being over 400 times those in low-income countries, with the ratio for annual direct health expenditure per person between these groups of countries is more than 39-fold.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.diabres.2020.108072

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 861

Metadata

Authors
Williams, R., Karuranga, S., Malanda, B., Saeedi, P., Basit, A., Besançon, S., Bommer, C., Esteghamati, A., Ogurtsova, K., Zhang, P., & Colagiuri, S.
Venue
Diabetes Research and Clinical Practice
Publisher
Elsevier BV
Published
2020-04
Volume
162
Pages
108072
ISSN
0168-8227 (ISSN-L)
OpenAlex
W3006607088
Cited by
861
References
3
FWCI
129.47
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Global and regional estimates and projections of diabetes-related health expenditure: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. https://app.cochat.ai/papers/10.1016/j.diabres.2020.108072
The paper
Williams, R., Karuranga, S., Malanda, B., Saeedi, P., Basit, A., Besançon, S., Bommer, C., Esteghamati, A., Ogurtsova, K., Zhang, P., & Colagiuri, S. (2020). Global and regional estimates and projections of diabetes-related health expenditure: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice. https://doi.org/10.1016/j.diabres.2020.108072

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.