ArticleScientific reports2024
A new model for determining risk of male infertility from serum hormone levels, without semen analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Epidemiological characteristics and risk factors of reproductive dysfunction in male infertility: a meta-analysis.Hormones (Athens, Greece) · 2025Pooled it
- Progress in the research of artificial intelligence in andrology: a narrative review.Translational andrology and urology · 2026Review
- Very Low Uptake in Workplace Semen Analysis Research: Formative Web-Based Cross-Sectional Follow-Up Survey Distinguishing Employees With Self-Reported Unawareness From Aware Nonparticipants.JMIR formative research · 2026Article
- Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.JMIR research protocols · 2026Article
- Unravelling male infertility through epigenetics: present understanding and future challenges.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Review
- CAPZA1 deficiency disrupts sperm flagellar structure and motility, potentially involving the p300/SLC7A11 pathway.Frontiers in endocrinology · 2026Article
- Epidemiology and occupational risk factors of male infertility based on 3,025 patients in Eastern Morocco during 2021-2023: a cohort study.Obstetrics & gynecology science · 2025Article
- Impact of selenium and selenoproteins on idiopathic male infertility: a comprehensive review.Frontiers in nutrition · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigated a screening method using only serum hormone levels and AI (artificial intelligence) predictive analysis. Among 3662 patients, numbers for NOA (non-obstructive azoospermia), OA (obstructive azoospermia), cryptozoospermia, oligozoospermia and/or asthenozoospermia, normal, and ejaculation disorder were 448, 210, 46, 1619, 1333, and 6, respectively. "Normal" was defined as semen findings normal according to the WHO (World Health Organization) Manual for Human Semen Testing of 2021. We extracted age, LH (luteinizing hormone), FSH (follicle stimulating hormone), PRL (prolactin), testosterone, E2 (estradiol), and T (testosterone)/E2 from medical records. A total motility sperm count of 9.408 × 10
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Registered trials
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.