H2020Индивидуална стипендия2016–2018

EBAR · Evidence Based Planning of Future Clinical Research

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-06-01 → 2018-05-31
Финансиране от ЕС: 187 420 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Методи за планиране на клинични проучвания анализират наличните данни, за да се избегне повторението на вече известни резултати при тестове на лекарства. Това помага за по-ефективно разпределяне на ресурсите и намаляване на броя пациенти, участващи в излишни експерименти.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Evidence Based Planning of Future Clinical Research

When existing evidence about the risks and benefits of the available medical treatment options is inconclusive, scarce or unreliable, there is public interest in designing and undertaking new studies to address evidence gaps with the minimum monetary and human cost involved. To date, clinical trials that evaluate the efficacy and acceptability of medical interventions are primarily designed as stand-alone experiments ignoring previous evidence. Consequently, researchers potentially experiment with an unnecessarily large number of patients or try to address a question to which the answer is already known. The aim of EBAR was to develop methods wrapped in a theoretical framework of efficient research planning that has the potential to direct resource allocation by optimally designing future clinical studies after considering the existing evidence. The main methodological vehicle of the suggested framework is the circular updating of a network meta-analysis. Network meta-analysis is a statistical technique to synthesize data from clinical experiments (clinical trials) about the effects of interventions and it is increasingly becoming the norm in evidence synthesis for comparative effectiveness research.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Clinical studies that are planned without prior consideration of existing evidence potentially experiment with an unnecessarily large number of patients or try to answer a question to which the answer is already available. This project aims to develop a framework of efficient and sustainable research planning that minimizes cost and has the potential to direct resource allocation by optimally planning future clinical studies based on existing evidence. A circular updating process is suggested; before a trial is planned the existing evidence (a network meta-analysis) about the effectiveness of all competing interventions is considered and its conclusiveness is statistically evaluated. If further experiments are needed these are designed considering patient’s preferences and with an aim to render the existing evidence conclusive. The new data is then used to update the existing knowledge. This innovative approach to plan clinical studied requires methodological developments from various fields (biostatistics, operational research, epidemiology) and its feasibility will be evaluated in answering a real clinical question about the best intervention for a given condition and in designing a new trial. The circular updating process is of high interest to public research funding bodies, guideline developers and pharmaceutical companies. The project has a strong public engagement component as patients and major health care organizations are involved in many of the planned activities in the development of the circular updating process. The project will be carried out in a stimulating academic environment (University of Bern) with extensive experience in clinical trials and a secondment in Novartis is planned. I will acquire technical skills in clinical trials, will continue to produce high-impact publications and develop leadership skills. These additions to my curriculum will enable me to progress to an academic carrier in a high-profile European Institute.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITAET BERN · BernКоординаторШвейцария