Evidence map›Paper›PMID 40529032›Full record

ArticleTranslational andrology and urology2025

Analysis of the burden of disease for male infertility globally and in China from 1990 to 2021.

Zujuan Shan, Shun Chen, Wenju Zhou, Yingwei Yang, Guifu Zhang, Jinquan Zhao

Abstract read
In one paragraph

Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 citing papers in PubMed.

  1. Article
  2. Article
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  5. Long-Term Epidemiological Trends and Regional Disparities in Male Infertility in Central Asia (1991-2023).International journal of environmental research and public health · 2026
    Article
  6. Article
  7. Review
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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

6 authors.

Zujuan Shan *Department of Scientific Research Management, Honghe Hospital Affiliated to Kunming Medical University (Southern Yunnan Central Hospital), Honghe, China.ORCID https://orcid.org/0009-0006-3305-3864
Shun Chen *Department of Endocrinology, Honghe Hospital Affiliated to Kunming Medical University (Southern Yunnan Central Hospital), Honghe, China.
Wenju ZhouDepartment of Gastroenterology, Honghe Hospital Affiliated to Kunming Medical University (Southern Yunnan Central Hospital), Honghe, China.
Yingwei YangDepartment of Teaching Management, Honghe Hospital Affiliated to Kunming Medical University (Southern Yunnan Central Hospital), Honghe, China.
Guifu ZhangDepartment of Urology, Honghe Hospital Affiliated to Kunming Medical University (South Yunnan Central Hospital of Yunnan Province), Honghe, China.
Jinquan ZhaoDepartment of Urology, Honghe Hospital Affiliated to Kunming Medical University (South Yunnan Central Hospital of Yunnan Province), Honghe, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infertility affects one in six couples globally, with male infertility contributing to 50% of cases. Despite its high prevalence, male infertility is underexplored in some regions due to cultural and societal factors. Epidemiological data remain sparse and inconsistent. This study uses Global Burden of Disease (GBD) 2021 data to assess the global and Chinese burden of male infertility and project future trends. Methods: Using the GBD 2021 dataset, we analyze global male infertility trends from 1990 to 2021 across different subgroups (age, region, and country), focusing on prevalence, disability-adjusted life years (DALYs), and their corresponding age-standardized rates (ASRs), and compare these trends with China. We examine the correlation between the Socio-Demographic Index (SDI) and the burden of male infertility at national and regional levels. Spearman's rank correlation assesses the relationship between ASRs and SDI. Decomposition analysis identifies drivers of the growing male infertility burden globally, in China, and across SDI regions. The slope index of inequality (SII) and the concentration index (CII) quantify global health inequalities, and the Bayesian-Aperiodic-People-Cohort (BAPC) model predicts future trends in male infertility prevalence and DALYs globally and in China. Results: In 2021, the global prevalence of male infertility surpassed 55 million cases, with over 300,000 DALYs. China accounted for approximately 20% of the global burden, with ASRs significantly exceeding the global average. Globally, male infertility prevalence and DALYs increased steadily from 1990 to 2021, particularly in low and low-middle SDI regions, such as South Asia, Southeast Asia, and Latin America. In contrast, China exhibited a stable trend with a gradual decline after 2008. Population growth was identified as the primary driver of global prevalence increases, while age-related factors played a more significant role in China. South and East Asia reported the highest absolute numbers of prevalence cases and DALYs, contributing to half of the global burden. However, the highest ASRs for prevalence and DALYs were recorded in Eastern Europe and Western Sub-Saharan Africa, reaching 1.5 times the global average. Conclusions: This study underscores the increasing global burden of male infertility, accompanied by pronounced disparities across regions and socioeconomic groups. While the burden in China shows signs of decline, low and low-middle SDI regions continue to face rising prevalence and DALYs. Official attention, along with a comprehensive approach to managing environmental factors, lifestyle changes, and sexually transmitted diseases (STDs), is essential to address these disparities and mitigate the growing global burden of male infertility.

Indexed as

age-standardized rates (ASRs)disability-adjusted life years (DALYs)disease burdenMale infertility

Identifiers

PMID40529032
PMCPMC12170198

What Socratic holds

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LicenceCC BY-NC-ND
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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.