Evidence mapPaperPMID 40317452Full record

ArticleFrontiers of medicine2025

Developing a polygenic risk score for pelvic organ prolapse: a combined risk assessment approach in Chinese women.

Xi Cheng, Lei Li, Xijuan Lin, Na Chen, Xudong Liu, Yaqian Li, Zhaoai Li, Jian Gong, Qing Liu, Yuling Wang and 11 more

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Article in Frontiers of medicine, 2025. 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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0citing 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Xi Cheng *Department of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Lei Li *Department of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xijuan LinDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Na ChenDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xudong LiuThe State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, 100730, China.
Yaqian LiClinical Research Institute, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
Zhaoai LiDepartment of Gynecology and Obstetrics, Children's Hospital of Shanxi Province, Taiyuan, 030013, China.
Jian GongDepartment of Gynecology and Obstetrics, Maternal and Child Health Hospital of Wuxi, Wuxi, 214002, China.
Qing LiuDepartment of Gynecology and Obstetrics, Maternal and Child Health Hospital of Gansu Province, Lanzhou, 730030, China.
Yuling WangDepartment of Gynecology and Obstetrics, Maternal and Child Health Hospital of Foshan, Foshan, 528000, China.
Juntao WangDepartment of Gynecology and Obstetrics, Maternal and Child Health Hospital of Guiyang, Guiyang, 550003, China.
Zhijun XiaDepartment of Gynecology and Obstetrics, Sheng Jing Hospital of China Medical University, Shenyang, 117004, China.
Yongxian LuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chinese PLA General Hospital, Beijing, 100037, China.
Hangmei JinDepartment of Obstetrics and Gynecology, Women's Hospital, Zhejiang University, Hangzhou, 310006, China.
Xiaowei ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Luwen WangDepartment of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Juan ChenDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Guorong FanDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Shan DengDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Sen ZhaoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, 77030, USA. zhaosen830@gmail.com.
Lan ZhuDepartment of Obstetrics and Gynecology National Clinical Research Center for Obstetric & Gynecologic Diseases, State Key Laboratory of Common Mechanism Research for Major Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China. zhu_julie@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.

Indexed as

Multifactorial InheritancePelvic Organ ProlapseAdultAgedCase-Control StudiesChinaEast Asian PeopleFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenome-Wide Association StudyHumansMiddle AgedPolymorphism, Single NucleotideRisk AssessmentRisk Factorsgenetic risk scorepelvic organ prolapserisk assessment

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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.