Evidence map›Paper›PMID 42086600›Full record

ArticleNature communications2026

The global economic burden of diabetes for 190 countries 2021-50: a macroeconomic modelling study.

Jinxi Li, Ruxu Zhang, Ruixi Li, Qihua Song, Yanhong Gong, Chichen Zhang, Xiaoxv Yin

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jinxi Li *Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ruxu Zhang *Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID http://orcid.org/0009-0001-3188-0106
Ruixi Li *Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qihua SongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0002-7838-1996
Chichen ZhangSchool of Health Management, Southern Medical University, Guangzhou, Guangdong, China. zhangchichen@sina.com.ORCID http://orcid.org/0000-0003-1095-9939
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. yxx@hust.edu.cn.ORCID http://orcid.org/0000-0002-5020-2984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes imposes a substantial health burden, yet its macroeconomic consequences remain incompletely quantified. Here we use a health-augmented macroeconomic model to estimate output losses attributable to diabetes across 190 countries and territories during 2021-2050. We project that diabetes could reduce cumulative global output by 5.177 trillion international dollars over this period, with substantial heterogeneity in relative losses as a share of GDP across countries. Country-level burdens vary markedly, reflecting heterogeneity in demographic trends, macroeconomic conditions, diabetes prevalence, health-system capacity and treatment costs. Most projected output loss is attributable to diabetes-related disability rather than premature mortality. In this work, we provide comparable cross-country estimates of the long-run macroeconomic burden of diabetes, informing prioritization of prevention, treatment policies, and related investments.

Indexed as

Cost of IllnessDiabetes MellitusGlobal HealthModels, EconomicHealth Care CostsHumans

Identifiers

PMID42086600
PMCPMC13385620

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.