Evidence map›Paper›PMID 40799200›Full record

ArticleJournal of orthopaedics2025

Relationship between RAR and the risk of osteoarthritis: a comprehensive analysis based on NHANES data (1999-2018).

Qifan Chen, Jiaxing Zeng, Hanhua Wu, Bufan Li, Yu-Nan Man, LuYang Zhong, Mao-Lin He, Shuizhong Cen

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Article in Journal of orthopaedics, 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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1 · What the graph read from it

What it found

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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

8 authors.

Qifan ChenDepartment of Spinal Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, PR China.
Jiaxing ZengDepartment of Traumatic Surgery & Microsurgery & Hand Surgery, Guangxi Zhuang Autonomous Region People's Hospital, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
Hanhua WuDepartment of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
Bufan LiDepartment of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
Yu-Nan ManDepartment of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
LuYang ZhongDepartment of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
Mao-Lin HeDepartment of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning, Guangxi Zhuang Autonomous Region, 530021, P.R. China.
Shuizhong CenDepartment of Spinal Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis (OA) is a prevalent disease characterized by the progressive loss of articular cartilage and chronic inflammation, contributing to an increasing epidemiological burden. While several risk factors have been identified, there remains a significant lack of reliable biomarkers for assessing OA risk. This study aims to investigate the association between the red blood cell distribution width to albumin ratio (RAR) and OA risk, as well as to evaluate its potential utility as a biomarker for OA risk assessment. Methods: We utilized data from the National Health and Nutrition Examination Survey (NHANES) to include a total of 35,902 participants, among whom 4,285 were diagnosed with OA. A weighted logistic regression model was employed to assess the association between different quartiles of RAR and OA risk, adjusting for relevant confounding factors. Additionally, we applied a restricted cubic spline (RCS) model to explore the non-linear dose-response relationship between RAR and OA risk, and conducted subgroup analyses to further elucidate this association. Results: RAR was significantly and positively associated with the risk of OA, with an odds ratio of 1.91 (95 % CI: 1.58-2.31, P = 5.31 × 10-10) for the highest quartile (Q4) in the weighted multivariate logistic regression model. This indicates a marked increase in OA risk with rising RAR levels. Furthermore, the relationship between RAR and OA was non-linear, and the effects of RAR exhibited significant heterogeneity across different populations. Conclusion: The level of RAR is positively correlated with OA risk, suggesting its potential as a biomarker for OA risk assessment. However, since causality cannot be established, further prospective or longitudinal studies are necessary to validate its clinical relevance.

Indexed as

EpidemiologyNHANESOsteoarthritisRARRisk factors

Identifiers

PMID40799200
PMCPMC12337705

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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.