Evidence map›Paper›PMID 39458430›Full record

ArticleNutrients2024

Iron Deficiency: Global Trends and Projections from 1990 to 2050.

Li Wang, Dan Liang, Hengqian Huangfu, Xinfu Shi, Shuang Liu, Panpan Zhong, Zhen Luo, Changwen Ke, Yingsi Lai

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

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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

19 citing papers in PubMed.

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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

9 authors.

Li WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Dan LiangDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Hengqian HuangfuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xinfu ShiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Shuang LiuDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Panpan ZhongDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
Zhen LuoDepartment of Immunology and Microbiology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-1142-2845
Changwen KeGuangdong 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 511430, China.ORCID 0000-0002-0341-292X
Yingsi LaiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0003-4324-5465

Funding

Guangdong Provincial Science and Technology Project 2022B1111020005Guangdong Special Support Program (Leading Talents in Science and Technology Innovation) 2023A001, Contract Number: 0620220104National Key Research and Development Program of China 2023YFC3041600
6 · The paper itself

Abstract

backgroundIron deficiency (ID) remains the leading cause of anemia, affects a vast number of persons globally, and continues to be a significant global health burden. Comprehending the patterns of ID burden is essential for developing targeted public health policies.

methodsUsing data from the Global Burden of Disease (GBD) 2021 study for the years 1990-2021, the XGBoost model was constructed to predict prevalence and disability-adjusted life years (DALYs) for the period 2022-2050, based on key demographic variables. Shapley Additive exPlanations (SHAP) values were applied to interpret the contributions of each variable to the model's predictions. Additionally, the Age-Period-Cohort (APC) model was used to evaluate the effects of age, period, and birth cohort on both prevalence and DALYs. The relationship between the Socio-Demographic Index (SDI) and ID's age-standardized prevalence rate (ASPR) as well as the age-standardized DALYs rate (ASDR) was also analyzed to assess the influence of socioeconomic development on disease burden.

resultsThe global prevalent cases of ID grew from 984.61 million in 1990 to 1270.64 million in 2021 and are projected to reach 1439.99 million by 2050. Similarly, global DALYs from ID increased from 28.41 million in 1990 to 32.32 million in 2021, with a projected rise to 36.13 million by 2050. The ASPR declined from 18,204/100,000 in 1990 to 16,433/100,000 in 2021, with an estimated annual percentage change (EAPC) of -0.36% over this period. It is expected to decrease further to 15,922 by 2050, with an EAPC of -0.09% between 2021 and 2050. The ASDR was 518/100,000 in 1990 and 424/100,000 in 2021, with an EAPC of -0.68% from 1990 to 2021. It is expected to remain relatively stable at 419/100,000 by 2050, with an EAPC of -0.02% between 2021 and 2050. In 2021, the highest ASPRs were recorded in Senegal (34,421/100,000), Mali (34,233/100,000), and Pakistan (33,942/100,000). By 2050, Mali (35,070/100,000), Senegal (34,132/100,000), and Zambia (33,149/100,000) are projected to lead. For ASDR, Yemen (1405/100,000), Mozambique (1149/100,000), and Mali (1093/100,000) had the highest rates in 2021. By 2050, Yemen (1388/100,000), Mali (1181/100,000), and Mozambique (1177/100,000) are expected to remain the highest. SHAP values demonstrated that gender was the leading predictor of ID, with age and year showing negative contributions. Females aged 10 to 60 consistently showed higher prevalence and DALYs rates compared to males, with the under-5 age group having the highest rates for both. Additionally, men aged 80 and above exhibited a rapid increase in prevalence. Furthermore, the ASPR and ASDR were significantly higher in regions with a lower SDI, highlighting the greater burden of ID in less developed regions.

conclusionsID remains a significant global health concern, with its burden projected to persist through 2050, particularly in lower-SDI regions. Despite declines in ASPR and ASDR, total cases and DALYs are expected to rise. SHAP analysis revealed that gender had the greatest influence on the model's predictions, while both age and year showed overall negative contributions to ID risk. Children under 5, women under 60, and elderly men aged 80+ were the most vulnerable groups. These findings underscore the need for targeted interventions, such as improved nutrition, early screening, and addressing socioeconomic drivers through iron supplementation programs in low-SDI regions.

Indexed as

Anemia, Iron-DeficiencyDisability-Adjusted Life YearsGlobal Burden of DiseaseGlobal HealthAdolescentAdultAgedChildChild, PreschoolFemaleForecastingHumansInfantIron DeficienciesMaleMiddle Agedforecastglobal burden of diseaseiron deficiencySHAPXGBoost

Identifiers

PMID39458430
PMCPMC11510637

What Socratic holds

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Registered trials

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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 Socratic graph.