Overview of literature monitoring practice of clinical trials vigilance units in French institutional sponsors - A study from the REVISE working group

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Prioul, Astrid | Fournier, Dorine | Lefeuvre, Cécile | Duranton, Sophie | Olivier, Pascale | Blanc, Emeline | Peyro-Saint-Paul, Laure | Ruault, Sophie | Jamet, Aurélie | Mouchel, Catherine

Edité par CCSD ; Elsevier Masson -

International audience. INTRODUCTION: The evaluation of clinical trial (CT) safety is the main task of CT vigilance units. In addition to the management of adverse events, the units must review the literature to identify information that may impact the benefit-risk assessment of studies. In this survey, we investigated the literature monitoring (LM) activity of French Institutional Vigilance Units (IVU) from the working group "REflexion sur la VIgilance et la SEcurite des essais cliniques" (REVISE). MATERIAL AND METHODS: We sent a questionnaire of 26 questions, divided into four themes, to the 60 IVU: (1) Presentation of the IVU and the LM activity; (2) Used sources, queries and criteria for selecting articles; (3) Valuation of the LM and (4) Practical organisation. RESULTS: Of the 27 IVU that responded to the questionnaire, 85% of them carried out LM. This was mainly provided by medical staff to improve general knowledge (83%), to detect Adverse Reactions (AR) not listed in the reference documents (70%) and to detect new safety information (61%). Due to lack of time, staff, available recommendations and sources, only 21% of IVU conducted LM for all CT. On average, units reported four sources: ANSM information (96%), PubMed database (83%), EMA alerts (57%) and the subscription to APM international (48%). The LM had an impact on the CT of 57% of the IVU such as changing the conditions of a study (39%) or suspending a study (22%). DISCUSSION/CONCLUSION: LM is an important but time-consuming activity with heterogeneous practices. According to the results of this survey, we proposed seven ways to improve this practice: (1) Target the highest risk CT; (2) Refine the PubMed queries; (3) Use other tools; (4) Create a decision flowchart for the selection of PubMed articles; (5) Improve training; (6) Value the activity and (7) Outsource the activity.

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