Evidence map›Paper›PMID 42304368›Full record

ArticleBMC medical education2026

Medical students' attitudes toward socioscientific issues in female reproductive anatomy teaching: a cross-sectional study.

Zhen-Zhen Kou, Jing Gu, Yan Wu, Miao Tian, Yi Li, Yun-Qing Li

Abstract read
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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhen-Zhen Kou *Department of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, The Fourth Military Medical University, Xi'an, Shaanxi, China. plutoming@fmmu.edu.cn.
Jing Gu *Department of Foreign Languages, School of Basic Medical Sciences, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Yan WuDepartment of Medical Ethics, School of Basic Medical Sciences, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Miao TianDepartment of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Yi LiDepartment of Obstetrics and Gynecology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.
Yun-Qing LiDepartment of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, The Fourth Military Medical University, Xi'an, Shaanxi, China. deptanat@fmmu.edu.cn.

Funding

Natural Science Basic Research Plan Project of Shaanxi Province 2024JC-YBQN-0881
6 · The paper itself

Abstract

objectivesThis study aimed to assess medical students' attitudes toward integrating socioscientific issues (SSI) into female reproductive anatomy teaching across multiple academic years, using the novel case of China's first uterus transplantation, and to apply artificial intelligence (AI)-based sentiment analysis to evaluate their emotional responses.

resultsA cross-sectional study was conducted among 163 medical students across three academic cohorts (2022, 2023, and 2024-2025) at a medical university in China. Over 95% of students rated the SSI-based teaching positively. AI-based sentiment analysis revealed that attitudes toward ethical questions varied: for embarrassment in close-relative transplantation, no significant differences were found across cohorts (χ² = 5.78, df = 4, p = 0.216); for adoption as an alternative to childbirth, attitudes also did not differ significantly (χ² = 6.62, df = 4, p = 0.157). Mean sentiment scores for ovarian transplantation were neutral to slightly negative across all cohorts (2022: -0.31; 2023: -0.08; 2024-2025: -0.12, weighted average of -0.17 for 2024 and - 0.02 for 2025).

conclusionsSSI integration using a culturally relevant case was well-received by medical students. AI-based sentiment analysis proved a valuable tool for quantifying emotional responses. Attitudes toward ethical issues did not differ significantly across the three cohorts, suggesting a rationale for the sustained integration of SSI in preclinical curricula to foster ethical reasoning.

Indexed as

AnatomyAttitude of Health PersonnelEducation, Medical, UndergraduateGenitalia, FemaleStudents, MedicalArtificial IntelligenceChinaCross-Sectional StudiesFemaleHumansUterusAnatomy educationArtificial intelligenceFemale reproductive systemMedical studentsSentiment analysisSocioscientific issues

Identifiers

PMID42304368
PMCPMC13508456

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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.