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Osteoarthritis year in review 2023: Epidemiology & therapy

增粘剂 医学 骨关节炎 流行病学 人口 疾病 物理疗法 入射(几何) 梅德林 体质指数 内科学 替代医学 关节内 病理 环境卫生 法学 物理 光学 政治学
作者
Anthony V. Perruccio,James J. Young,Jessica M. Wilfong,J. Denise Power,Mayilée Cañizares,Elizabeth M. Badley
出处
期刊:Osteoarthritis and Cartilage [Elsevier BV]
卷期号:32 (2): 159-165 被引量:32
标识
DOI:10.1016/j.joca.2023.11.012
摘要

Summary

Objective

To highlight some important findings from osteoarthritis (OA) epidemiology and therapy research undertaken over the past year.

Methods

Search of MEDLINE and EMBASE databases between April 1, 2022 to March 3, 2023 using "exp *Osteoarthritis/" as the preliminary search term. The search was limited to articles published in English and including human subjects. Final inclusions were based on perceived importance and results that may inform improved identification of risk factors or OA treatments, as well as OA subgroups of potential relevance to risk factors or treatment approaches.

Results

3182 studies were screened, leaving 208 eligible for inclusion. This narrative review of thirty-three selected studies was arranged into: a) OA predictors – population-based studies, b) Specific predictors of OA and OA outcome; c) Intra-articular injections, and d) OA phenotypes. There was some suggestion of sex differences in predictors of incidence or outcomes. Body mass index changes appear largely to affect knee OA outcomes. Evidence points to a lack of benefit of viscosupplementation in knee OA; findings were variable for other injectables. Studies of OA phenotypes reveal potentially relevant clinical and pathophysiological differences.

Conclusions

Identifying risk factors for the incidence/progression of OA represents an ongoing and important area of OA research. Sex may play a role in this understanding and bears consideration and further study. For knee injectables other than viscosupplementation, additional high-quality trials appear warranted. Continued investigation and application of phenotyping across the OA disease, illness and care spectrum may be key to developing disease-modifying agents and their appropriate selection for individuals.
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