Certainty of the Global Burden of Disease 2019 Modelled Prevalence Estimates for Musculoskeletal Conditions: A Meta-Epidemiological Study

Autores da FMUP
Participantes de fora da FMUP
- Laguna, JM
- Puhan, MA
- Artalejo, FR
- De Pauw, R
- Wyper, GMA
- Devleesschauwer, B
- Hincapié, CA
Unidades de investigação
Abstract
Objectives: 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.Methods: 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.Results: 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.Conclusion: 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.
Dados da publicação
- ISSN/ISSNe:
- 1661-8564, 1661-8556
- Tipo:
- Review
- Páginas:
- -
- Link para outro recurso:
- www.scopus.com
International Journal of Public Health Frontiers Media S.A.
Citações Recebidas na Web of Science: 8
Citações Recebidas na Scopus: 14
Documentos
- Não há documentos
Filiações
Keywords
- global burden of disease; epidemiology; prevalence; musculoskeletal disorders; low back pain; neck pain; knee osteoarthritis; GRADE approach
Proyectos asociados
Equidade em saúde: um inquérito a especialistas e análise de saúde auto-percecionada.
Investigador Principal: João Vasco Nunes dos Santos
Estudo Observacional Académico (EquiSaude) . 2021
Citar a publicação
Laguna JM,Puhan MA,Artalejo FR,De Pauw R,Wyper G,Devleesschauwer B,Santos JV,Hincapié CA. Certainty of the Global Burden of Disease 2019 Modelled Prevalence Estimates for Musculoskeletal Conditions: A Meta-Epidemiological Study. Int. J. Public Health. 2023. 681605763. IF:4,600. (1).