Evidence map›Paper›PMID 39889186›Full record

ArticleMedicine2025

Mendelian randomization analysis of female reproductive factors on osteoarthritis.

Liang Pang, Kai Wu, Pingping Su, Zhicheng Liao, Cunxian Lv

Abstract read
In one paragraph

Article in Medicine, 2025. 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

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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

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Liang PangWenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
Kai Wu
Pingping Su
Zhicheng Liao
Cunxian Lv

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiology shows women have a higher incidence of osteoarthritis (OA) than men. However, there is not enough evidence to suggest a direct correlation between female reproductive factors and OA. Therefore, this study will employ Mendelian randomization (MR) analysis to investigate whether there is a causal relationship between the 2. This study used a 2-sample MR analysis with single nucleotide polymorphisms significantly associated with female reproductive factors as instrumental variables (IV). We used inverse variance weighted (IVW), MR-Egger regression, weighted median method to infer a causal relationship between female reproductive factors and OA, Cochran Q heterogeneity test by IVW and MR-Egger method, MR PRESSO method and IVW-radial method to detect outliers, MR_pleiotropy_test function and MR PRESSO method for multivariate validity test, and calculation of F-value was used to assess the presence of weak IVs. Finally, the stability of the findings was assessed using the leave-one-out method. Our research shows that there is no reliable causal relationship between an increase in Age at menarche (years) (AAM) and Age at menopause (years) (AM) and OA, that an increase in Age first had sexual intercourse (years) (AFS) is associated with a decreased risk of knee OA and/or hip OA and hand OA, that an increase in Age at first live birth (years) (AFB) is associated with a decreased risk of knee OA and/or hip OA and knee OA, and that an increase in Number of live births (NOB) is associated with an increased risk of knee OA and/or hip OA. This study provides genetic support for an increase in AFS as a reduced knee OA and/or hip OA and hand OA risk factor, an increase in AFB as a reduced knee OA and/or hip OA and knee OA risk factor, and an increase in NOB as an increased knee OA and/or hip OA risk factor. Further studies are needed to elucidate the potential mechanisms underlying the causal associations between AFS, AFB, and NOB and site-specific OA.

Indexed as

Mendelian Randomization AnalysisOsteoarthritisAge FactorsFemaleHumansMenarcheMenopauseMiddle AgedOsteoarthritis, KneePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID39889186
PMCPMC11789898

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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.