Evidence map›Paper›PMID 39914495›Full record

ArticleAdvances in nutrition (Bethesda, Md.)2025

Perspective: Global Burden of Iodine Deficiency: Insights and Projections to 2050 Using XGBoost and SHAP.

Dan Liang, Li Wang, Panpan Zhong, Jiuxiu Lin, Leyan Chen, Qifang Chen, Shuang Liu, Zhen Luo, Changwen Ke, Yingsi Lai

Abstract read
In one paragraph

Article in Advances in nutrition (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Global burden of subarachnoid hemorrhage in young adults, 1990-2021: disparities, risk factors, and projections to 2050.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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5 more citing papers are in PubMed but not listed here.

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

10 authors.

Dan LiangDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China.
Li WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Panpan ZhongDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China.
Jiuxiu LinDepartment of Microbiology and Immunology, Basic Medicine College, Jinan University, Guangzhou, China.
Leyan ChenInternational Institute for Translational Chinese Medicine, School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qifang ChenBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.
Shuang LiuDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China.
Zhen LuoDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou, China. Electronic address: zhluo18@jnu.edu.cn.
Changwen KeDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; International Institute for Translational Chinese Medicine, School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou, China; BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory for Emergency Detection and Research on Pathogen of Emerging Infectious Disease, Guangdong Provincial Center for Disease Control and Prevention, Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou, Guangdong, China. Electronic address: kechangwen@cdcp.org.cn.
Yingsi LaiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China. Electronic address: laiys3@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iodine deficiency (ID) poses a significant global public health challenge. This study aimed to analyze trends from 1990 to 2021 and project future patterns ≤2050 using the extreme gradient boosting (XGBoost) model, with Shapley additive explanations (SHAP), to identify key factors and inform public health strategies. Data on ID from the Global Burden of Disease (GBD) 2021 study were used to model and predict its burden ≤2050 using XGBoost, with SHAP enhancing model interpretability. In 1990, global incident cases of ID were 7.51 million (age-standardized incidence rate [ASIR]: 126.11/100,000), rising to 8.08 million by 2021 (ASIR: 105.99/100,000, a 15.96% decrease), and projected to reach 8.48 million by 2050 (ASIR: 108.20/100,000). Prevalent cases increased from 146.42 million in 1990 (age-standardized prevalence rate [ASPR]: 2801.80/100,000) to 180.81 million in 2021 (ASPR: 2213.98/100,000, a 20.98% decrease), with 194.51 million expected by 2050 (ASPR: 1900.01/100,000). Disability-adjusted life years (DALYs) dropped from 2.46 million in 1990 (age-standardized disability-adjusted life year rate [ASDR]: 46.19/100,000) to 2.25 million in 2021 (ASDR: 27.67/100,000, a 40.10% decrease) but are projected to rise slightly to 2.51 million by 2050 (ASDR: 25.51/100,000). SHAP analysis identified iodized salt coverage as a key factor, with higher coverage levels associated with reduced ID burden in most countries. Women and people aged 10-30 y had higher incidence rates, although prevalence and DALYs peaked among those aged 20-45 y. Central and Eastern Sub-Saharan Africa and South Asia will continue to bear the highest burden through 2050. The XGBoost+SHAP model identified age, sex, and iodized salt coverage as key factors, with women and younger populations being high-risk groups. Strengthening iodization programs, improving health care access, targeted education, and consistent monitoring of vulnerable populations are essential to mitigate future risks and improve health outcomes.

Indexed as

Deficiency DiseasesGlobal Burden of DiseaseGlobal HealthIodineAdolescentAdultAgedBoosting Machine Learning AlgorithmsChildChild, PreschoolFemaleForecastingHumansIncidenceInfantMaleIodineiodized saltSodium Chloride, DietaryepidemiologyforecastingGlobal Burden of Diseaseiodine deficiencySHAPXGBoost

Identifiers

PMID39914495
PMCPMC11909719

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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.