Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Rethinking Analytical Strategies for Surveillance of Medical Devices

The Case of Hip Arthroplasty

Dados Bibliográficos

ID9102596
AutoresSharon‐Lise T Normand (0000-0001-7027-4769, Harvard University, autor correspondente), Sharon-Lise Normand, Danica Marinac-Dabic, Danica Marinac‐Dabic (0000-0002-1824-0104), Art Sedrakyan (0000-0003-3882-9765), Ronald Kaczmarek, Ronald G Kaczmarek
Ano2010
Volume48
Fascículo6
PáginasS58-S67
Data de publicação2010-06-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3181de9cfa
PMID20473192
OpenAlexW2034590247
IdiomaEN
Citações recebidas1
Referências citadas15

BACKGROUND: Randomized trials that sometimes serve as the basis for device approval are small, short term, and generalizable to an increasingly smaller percentage of patients. Some of the most common and challenging devices are those used in hip replacement. Artificial hips are implanted in thousands to alleviate pain caused by noninflammatory joint disease and to restore patient mobility. During 2004 in the United States, although 68% of hospital stays for partial or total hip replacements were for those aged 65 years and older, younger patients will account for 52% by 2030. METHODS: Using hierarchical modeling, we propose a framework for combining information from premarket and postmarket settings. Our key assumption is that device performance characteristics and outcomes obtained from 1 cohort are related to device characteristics and outcomes of the same or similar devices observed in other cohorts. We illustrate methods by jointly modeling Harris Hip Scores (HHSs) and revision-success data from 1851 subjects who participated in 3 pivotal randomized or observational studies of artificial hips. RESULTS AND CONCLUSIONS: Subjects participating in randomized studies had better 2-year HHS than those in observational studies (posterior mean increase in HHS = 4.1, posterior standard deviation = 0.6). Patients implanted with ceramic-on-polyethylene hip used in 1 study had higher 2-year HHS than those implanted with a different ceramic-on-polyethylene hip in another study (mean difference = 4.2, standard deviation = 0.6). Our approach is feasible and will advance regulatory science using a transparent and dynamic new paradigm for knowledge management throughout the total product life cycle

Data science · MEDLINE · Political science · Computer Science · Medicine · Orthopaedic implants and arthroplasty · Prosthetics and Rehabilitation Robotics · Total Knee Arthroplasty Outcomes

  • Comparative Effectiveness Research Methods

    Kathleen N Lohr•Medical Care•2010

  • Prevalence and Trends in Obesity Among US Adults, 1999-2008

    Katherine M Flegal•JAMA•2010

Obras citantes distintas1
Citações por ano0,06
Intervalo de citações2010 - 2010 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae