The what, when and how of orthopaedic registers: an introduction into register-based research.

bias and confounding data validity guidelines orthopaedic registers survival analyses

Journal

EFORT open reviews
ISSN: 2058-5241
Titre abrégé: EFORT Open Rev
Pays: England
ID NLM: 101695674

Informations de publication

Date de publication:
Jun 2019
Historique:
entrez: 19 6 2019
pubmed: 19 6 2019
medline: 19 6 2019
Statut: epublish

Résumé

Establishment of orthopaedic registers started in 1975 and many registers have been initiated since. The main purpose of registers is to collect information on patients, implants and procedures in order to monitor and improve the outcome of the specific procedure.Data validity reflects the quality of the registered data and consists of four major aspects: coverage of the register, registration completeness of procedures/patients, registration completeness of variables included in the register and accuracy of registered variables.Survival analysis is often used in register studies to estimate the incidence of an outcome. The most commonly used survival analysis is the Kaplan-Meier survival curves, which present the proportion of patients who have not experienced the defined event (e.g. death or revision of a prosthesis) in relation to the time. Depending on the research question, competing events can be taken into account by using the cumulative incidence function. Cox regression analysis is used to compare survival data for different groups taking differences between groups into account.When interpreting the results from observational register-based studies a number of factors including selection bias, information bias, chance and confounding have to be taken into account. In observational register-based studies selection bias is related to, for example, absence of complete follow-up of the patients, whereas information bias is related to, for example, misclassification of exposure (e.g. risk factor of interest) or/and outcome.The REporting of studies Conducted using Observational Routinely-collected Data guidelines should be used for studies based on routinely-collected health data including orthopaedic registers.Linkage between orthopaedic registers, other clinical quality databases and administrative health registers may be of value when performing orthopaedic register-based research. Cite this article:

Identifiants

pubmed: 31210972
doi: 10.1302/2058-5241.4.180097
pii: 10.1302_2058-5241.4.180097
pmc: PMC6549105
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

337-343

Déclaration de conflit d'intérêts

ICMJE Conflict of interest statement: CV declares travel/accommodations/meeting expenses to his institution from Zimmer Biomet, Denmark. SO declares grants/pending grants to his institution from Zimmer Biomet and Viking Medical. All other authors have nothing to declare.

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Auteurs

Claus Varnum (C)

The Danish Hip Arthroplasty Register.
Department of Orthopaedic Surgery, Vejle Hospital, Vejle, Denmark.

Alma Bečić Pedersen (AB)

Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.

Per Hviid Gundtoft (PH)

Department of Orthopaedic Surgery and Traumatology, Odense University Hospital, Odense, Denmark.

Søren Overgaard (S)

The Danish Hip Arthroplasty Register.
Department of Orthopaedic Surgery and Traumatology, Odense University Hospital, Odense, Denmark.
Orthopaedic Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Classifications MeSH