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Existing reporting guidelines for clinical trials are not completely relevant for implantable medical devices: a systematic review

Authors :
Nicolas Martelli
Julie Steelandt
Carole Naud
Patrice Prognon
Olivier Pellerin
Carole Serrano
Florence Cour
Hélène van den Brink
Stéphanie Diallo
Anne-France Motte
Isabelle Borget
Jean-Marc Alsac
Pierre Aubry
Constance Châteauvieux
Judith Pineau
Brigitte Bonan
Groupe de Recherche et d'Accueil en Droit et Economie de la Santé (GRADES)
Université Paris-Saclay
Source :
Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2017, 91, pp.111-120. ⟨10.1016/j.jclinepi.2017.07.005⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Objectives The aim of this study was to determine relevant items for reporting clinical trials on implantable medical devices (IMDs) and to identify reporting guidelines which include these items. Study Design and Setting A panel of experts identified the most relevant items for evaluating IMDs from an initial list based on reference papers. We then conducted a systematic review of articles indexed in MEDLINE. We retrieved reporting guidelines from the EQUATOR network's library for health research reporting. Finally, we screened these reporting guidelines to find those using our set of reporting items. Results Seven relevant reporting items were selected that related to four topics: randomization, learning curve, surgical setting, and device information. A total of 348 reporting guidelines were identified, among which 26 met our inclusion criteria. However, none of the 26 reporting guidelines presented all seven items together. The most frequently reported item was timing of randomization (65%). On the contrary, device information and learning curve effects were poorly specified. Conclusion To our knowledge, this study is the first to identify specific items related to IMDs in reporting guidelines for clinical trials. We have shown that no existing reporting guideline is totally suitable for these devices.

Details

Language :
English
ISSN :
08954356
Database :
OpenAIRE
Journal :
Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2017, 91, pp.111-120. ⟨10.1016/j.jclinepi.2017.07.005⟩
Accession number :
edsair.doi.dedup.....2adf531d9436c7d3b09c4822bd17889c