Unraveling the Causal Linkages of

Ying Yang, Weiyuan Xing, Xiaoqin Wang, Qiran Sun, Ningning Hu, Liwen Zhang, Fuyun Dong, Rujun Chen

Abstract read

In one paragraph

Article in BioMed research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Unraveling the Causal Linkages ofBioMed research international · 2026
Article

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

8 authors.

Ying YangDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0009-0006-0363-1686

Weiyuan XingDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0009-0003-1552-8852

Xiaoqin WangDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0000-0002-4745-4398

Qiran SunDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0000-0002-2729-2416

Ningning HuDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0009-0002-7852-4819

Liwen ZhangDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0000-0002-6452-6568

Fuyun DongDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0009-0005-6062-7782

Rujun ChenDepartment of Obstetrics and Gynecology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0000-0002-9451-6280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pelvic organ prolapse (POP) is a common pelvic floor disorder in middle-aged and elderly women. Its pathophysiology is complex, involving weakened pelvic floor muscles and connective tissues. There is a need to explore its underlying pathogenesis and develop effective treatments. Methods: We integrated single-cell sequencing (scRNA-seq) data analysis with Mendelian randomization (MR) analysis. scRNA-seq data of vaginal mucosal tissue were obtained from individuals with and without pelvic organ prolapse (POP); we then performed dimensionality reduction and cell subset identification. MR was conducted using GWAS summary statistics and eQTL data, following STROBE-MR guidelines. We also performed protein-protein interaction analysis, functional enrichment analysis, drug prediction, and molecular docking. Results: We identified Conclusion: The study highlights the significance of fibroblast gene expression changes in collagen metabolism for POP. It identified risk and protective genes and explored potential drugs. Future research should verify

Indexed as

Pelvic Organ ProlapseRetinol-Binding Proteins, CellularFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisMolecular Docking SimulationPolymorphism, Single NucleotideSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisRetinol-Binding Proteins, Cellularmendelian randomizationpelvic organ prolapseRBP7SCGB3A1single-cell sequencingtherapeutic drugs

Identifiers

PMID41497737

DOI10.1155/bmri/9785848

PMCPMC12765987

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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 OpenQuestion graph.