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NICOLA VERONESE

Knee osteoarthritis and adverse health outcomes: an umbrella review of meta-analyses of observational studies

  • Autori: Veronese, Nicola; Honvo, Germain; Bruyère, Olivier; Rizzoli, René; Barbagallo, Mario; Maggi, Stefania; Smith, Lee; Sabico, Shaun; Al-Daghri, Nasser; Cooper, Cyrus; Pegreffi, Francesco; Reginster, Jean-Yves
  • Anno di pubblicazione: 2023
  • Tipologia: Articolo in rivista
  • OA Link: http://hdl.handle.net/10447/582709

Abstract

Background Knee osteoarthritis (OA) is a common condition, associated with a high rate of disability and poor quality of life. Despite the importance of such evidence in public health, no umbrella review (i.e., a review of other systematic reviews and meta-analyses) has systematically assessed evidence on association between knee OA and adverse health outcomes. Aims To map and grade all health outcomes associated with knee OA using an umbrella review approach. Methods The search was made across several databases up to 22 April 2022. We used an umbrella review of systematic reviews with meta-analyses of observational studies assessing the effect sizes, based on random effect summary, 95% prediction intervals, heterogeneity, small study effects, and excess significance bias. The evidence was then graded from convincing (class I) to weak (class IV). Results Among 3,847 studies initially considered, five meta-analyses were included for a total of five different outcomes. Three adverse outcomes were significantly associated with knee OA (i.e., cardiovascular mortality, falls, and subclinical atherosclerosis). The presence of knee OA was associated with a significantly higher risk of cardiovascular mortality (odds ratio, OR = 1.17; 95%CI, confidence intervals: 1.02-1.34), falls (RR = 1.34; 95%CI: 1.10-1.64), and conditions associated with subclinical atherosclerosis (OR = 1.43; 95%CI: 1.003-2.05). The certainty of each of this evidence was weak. Conclusions Our umbrella review suggests that knee OA can be considered as putative risk factor for some medical conditions, including cardiovascular diseases and falls, however, it is important to note that the evidence is affected by potential biases.