Evidence map›Paper›PMID 37485083›Full record

ArticleInnovation (Cambridge (Mass.))2023

Global burden and drivers of hyperglycemia: Estimates and predictions from 1990 to 2050.

Hui-Ling Qiu, Shujun Fan, Kaixin Zhou, Zhini He, Matthew H E M Browning, Luke D Knibbs, Tianyu Zhao, Ya-Na Luo, Xiao-Xuan Liu, Li-Xin Hu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Tobacco as a promising crop for low-carbon biorefinery.Innovation (Cambridge (Mass.)) · 2024
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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

16 authors at 8 institutions in 4 countries.

Hui-Ling QiuDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Shujun FanGuangzhou Joint Research Center for Disease Surveillance and Risk Assessment, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Kaixin ZhouCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China.
Zhini HeFood Safety and Health Research Center, Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangzhou, Guangdong, China.
Matthew H E M BrowningDepartment of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29634, USA.
Luke D KnibbsSchool of Public Health, The University of Sydney, Camperdown, NSW 2006, Australia.
Tianyu ZhaoInstitute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Ya-Na LuoDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xiao-Xuan LiuDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Li-Xin HuDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jia-Xin LiDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yi-Dan ZhangDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yu-Ting XieDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Joachim HeinrichInstitute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, 85764 Neuherberg, Germany.
Guang-Hui DongDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Bo-Yi YangDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNClemson University · USGuangzhou Center for Disease Control and Prevention · CNHelmholtz Zentrum München · DELudwig-Maximilians-Universität München · DESouthern Medical University · CNUniversity of Chinese Academy of Sciences · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperglycemia is a key risk factor for death and disability worldwide. To better inform prevention strategies, we aimed to delineate and predict the temporal, spatial, and demographic patterns in mean fasting plasma glucose (FPG) levels and their related disease burden globally. Based on the Global Burden of Disease Study 2019, we estimated the distributions of mean FPG levels and high FPG-related disease burden by age, sex, year, socioeconomic status (SES), and geographical region from 1990 to 2050. We also investigated the possible associations of demographic, behavioral, dietary, metabolic, and environmental factors with FPG levels and high FPG-related disease burden. In 2019, the global mean FPG level was 5.40 mmol/L (95% uncertainty interval [UI]: 4.86-6.00), and high FPG contributed to 83.0 deaths (95% UI, 64.5-107.1) and 2,104.3 DALYs (95% UI: 1,740.7-2,520.7) per 100,000 people. For both historical (1990-2019) and future (2020-2050) periods, the mean FPG levels and the high FPG-related disease burden increased globally, with greater increases among the middle-aged and elderly, and people in low-to-middle SES countries, relative to their counterparts. Aging, unhealthy lifestyles, elevated body mass index, and lower air temperatures were potential risk factors for high FPG levels and the high FPG-related disease burden. This study demonstrates that high FPG continues to contribute to the global disease burden and is expected to do so for at least the next 30 years. Older people and those living in low-to-middle SES countries should receive more attention in glycemic management health interventions. In addition, effective interventions that target identified risk factors should be adopted to handle the increasingly large disease burden of high FPG.

Identifiers

PMID37485083
PMCPMC10362522
OpenAlexW4378374356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.