<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Javier Muñoz Laguna</style></author><author><style face="normal" font="default" size="100%">Milo A Puhan</style></author><author><style face="normal" font="default" size="100%">Fernando Rodríguez Artalejo</style></author><author><style face="normal" font="default" size="100%">Robby De Pauw</style></author><author><style face="normal" font="default" size="100%">Grant M A Wyper</style></author><author><style face="normal" font="default" size="100%">Brecht Devleesschauwer</style></author><author><style face="normal" font="default" size="100%">João Vasco Santos</style></author><author><style face="normal" font="default" size="100%">Cesar A Hincapié</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Certainty of the Global Burden of Disease 2019 modelled prevalence estimates for musculoskeletal conditions: A meta-epidemiological study</style></title><secondary-title><style face="normal" font="default" size="100%">Int J Public Health</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">epidemiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Global Burden of Disease</style></keyword><keyword><style  face="normal" font="default" size="100%">GRADE approach</style></keyword><keyword><style  face="normal" font="default" size="100%">knee osteoarthritis</style></keyword><keyword><style  face="normal" font="default" size="100%">Low Back Pain</style></keyword><keyword><style  face="normal" font="default" size="100%">Musculoskeletal disorders</style></keyword><keyword><style  face="normal" font="default" size="100%">neck pain</style></keyword><keyword><style  face="normal" font="default" size="100%">prevalence</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2023</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">68</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;To describe and assess the risk of bias of the primary input studies that underpinned the Global Burden of Disease Study (GBD) 2019 modelled prevalence estimates of low back pain (LBP), neck pain (NP), and knee osteoarthritis (OA), from Australia, Brazil, Canada, Spain, and Switzerland. To evaluate the certainty of the GBD modelled prevalence evidence. Primary studies were identified using the GBD Data Input Sources Tool and their risk of bias was assessed using a validated tool. We rated the certainty of modelled prevalence estimates based on the GRADE Guidelines 30-the GRADE approach for modelled evidence. Seventy-two primary studies (LBP: 67, NP: 2, knee OA: 3) underpinned the GBD estimates. Most studies had limited representativeness of their study populations, used suboptimal case definitions and applied assessment instruments with unknown psychometric properties. The certainty of modelled prevalence estimates was low, mainly due to risk of bias and indirectness. Beyond the risk of bias of primary input studies for LBP, NP, and knee OA in GBD 2019, the certainty of country-specific modelled prevalence estimates still have room for improvement.&lt;/p&gt;
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