title: Meta-analysis of survival curve data using distributed health data networks: application to hip arthroplasty studies of the International Consortium of Orthopaedic Registries.
abstract: The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if de-identified. Therefore, this article describes an approach to extraction and analysis of aggregate time-to-event data from ICOR. Data extraction is based on obtaining a survival probability and variance estimate for each unique combination of the explanatory variables at each distinct event time for each registry. The extraction procedure allows for a great deal of flexibility; models can be specified after the data have been collected, for example, modeling of interaction effects and selection of subgroups of patients based on their values on the explanatory variables. Our analysis models are adapted from models presented elsewhere--but allowing for censoring in the calculation of the correlation between serial survival probabilities and using the square root of the covariance matrix to transform the data to avoid computational problems in model estimation. Simulations and a real-data example are provided with strengths and limitations of the approach discussed.
authors.affiliation: Surgical Outcomes and Analysis, Kaiser Permanente, Oakland, CA, USA.|Department of Psychiatry, UCSD, San Diego, CA, USA.
authors.forename: Guy
authors.initials: G
authors.lastname: Cafri
authors.affiliation: Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
authors.forename: Samprit
authors.initials: S
authors.lastname: Banerjee
authors.affiliation: Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
authors.forename: Art
authors.initials: A
authors.lastname: Sedrakyan
authors.affiliation: Surgical Outcomes and Analysis, Kaiser Permanente, Oakland, CA, USA.
authors.forename: Liz
authors.initials: L
authors.lastname: Paxton
authors.affiliation: The Norwegian Arthroplasty Register, Department of Orthopaedic Surgery, Haukeland University Hospital, Bergen, Norway.|Department of Surgical Sciences, University of Bergen, Bergen, Norway.|Locus of Registry Based Epidemiology, Faculty of Medicine, University of Bergen, Bergen, Norway.
authors.forename: Ove
authors.initials: O
authors.lastname: Furnes
authors.affiliation: Australian Orthopaedic Association National Joint Replacement Registry, Adelaide, Australia.
authors.forename: Stephen
authors.initials: S
authors.lastname: Graves
authors.affiliation: Office of Surveillance and Biometrics, Center for Device and Radiological Health, FDA, Silver Spring, MD, USA.
authors.forename: Danica
authors.initials: D
authors.lastname: Marinac-Dabic
mesh_terms: D019644:Arthroplasty, Replacement, Hip / Q000009:adverse effects / Q000401:mortality* / Q000706:statistics & numerical data*; D003195:Computer Communication Networks / Q000706:statistics & numerical data; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D019544:Equipment Failure Analysis / Q000706:statistics & numerical data; D006622:Hip Prosthesis / Q000009:adverse effects; D006801:Humans; D053208:Kaplan-Meier Estimate; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D015999:Multivariate Analysis; D009985:Orthopedics; D012042:Registries / Q000706:statistics & numerical data; D016019:Survival Analysis
keywords: ICOR; mixed models; multivariate meta-analysis; survival