Evidence map›Paper›PMID 41695018›Full record

ArticleTherapeutic advances in musculoskeletal disease2026

Investigating the relationship between osteoporosis and rheumatoid arthritis: prospective cohort study and genetic analyses.

Lingli Qiu, Wenqiang Zhang, Zhixin Tan, Xuan Wu, Yutong Wang, Mingshuang Tang, Lin Chen, Yanqiu Zou, Yunjie Liu, Bowen Lei and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Therapeutic advances in musculoskeletal disease, 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

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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.

  1. Bone Health in Rheumatoid Arthritis: An Update.Current rheumatology reports · 2026
    Review
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

24 authors.

Lingli QiuDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0003-6010-6114
Wenqiang ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhixin TanDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xuan WuDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yutong WangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Mingshuang TangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Lin ChenDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yanqiu ZouDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yunjie LiuDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Bowen LeiDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaofeng MaDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Di ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenzhi WangDepartment of Osteoporosis, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yiping JiaDepartment of Ultrasound, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Qiurong HeClinical Laboratory, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Lei SunDepartment of Osteoporosis, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Lu WangDepartment of Osteoporosis, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jian XuDepartment of Osteoporosis, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yao ChenDepartment of Osteoporosis, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Mengyu FanDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiayuan LiDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Ben ZhangDepartment of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaoling WenDepartment of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, South Renmin Road, Wuhou District, Chengdu 610041, China.
Xia JiangDepartment of Epidemiology and Biostatistics, Karolinska Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, South Renmin Road, Wuhou District, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The co-occurrence of osteoporosis (OP) and rheumatoid arthritis (RA) has long been observed; their intrinsic link, however, has not been fully understood. Objectives: We aimed to inform the importance of integrated care targeting both diseases by investigating the phenotypic as well as the genetic relationships underlying OP and RA. Design: This is a prospective cohort study and genome-wide cross-trait analysis. Methods: We evaluated phenotypic associations using longitudinal follow-up data from the UK Biobank ( Results: Observational analysis suggested a bidirectional relationship (OP → RA: hazard ratio (HR) = 1.59, 95% confidence interval (CI) = 1.28-1.97; RA → OP: HR = 2.94, 95% CI = 2.59-3.35). A negative overall genetic correlation was observed for eBMD with RA ( = -0.06, Conclusion: Our work demonstrates a significant biological pleiotropy as well as a putative causal relationship between OP and RA, emphasizing an intrinsic link underlying the pronounced phenotypic association. These findings highlight the possibility of preventing and predicting RA development by monitoring and interfering with bone loss in preclinical high-risk individuals.

Indexed as

genetic correlationMendelian randomizationosteoporosisphenotypic associationpleiotropic locirheumatoid arthritis

Identifiers

PMID41695018
PMCPMC12901847

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