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通用数据元素与数据管理:解决临床前研究样本量不足问题的方法。

Common data elements and data management: Remedy to cure underpowered preclinical studies.

作者信息

Lapinlampi Niina, Melin Esbjörn, Aronica Eleonora, Bankstahl Jens P, Becker Albert, Bernard Cristophe, Gorter Jan A, Gröhn Olli, Lipsanen Anu, Lukasiuk Katarzyna, Löscher Wolfgang, Paananen Jussi, Ravizza Teresa, Roncon Paolo, Simonato Michele, Vezzani Annamaria, Kokaia Merab, Pitkänen Asla

机构信息

Department of Neurobiology, A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211 Kuopio, Finland.

Epilepsy Center, Wallenberg Neuroscience Center, Lund University, Lund, Sweden.

出版信息

Epilepsy Res. 2017 Jan;129:87-90. doi: 10.1016/j.eplepsyres.2016.11.010. Epub 2016 Nov 22.

Abstract

Lack of translation of data obtained in preclinical trials to clinic has kindled researchers to develop new methodologies to increase the power and reproducibility of preclinical studies. One approach relates to harmonization of data collection and analysis, and has been used for a long time in clinical studies testing anti-seizure drugs. EPITARGET is a European Union FP7-funded research consortium composed of 18 partners from 9 countries. Its main research objective is to identify biomarkers and develop treatments for epileptogenesis. As the first step of harmonization of procedures between laboratories, EPITARGET established working groups for designing project-tailored common data elements (CDEs) and case report forms (CRFs) to be used in data collection and analysis. Eight major modules of CRFs were developed, presenting >1000 data points for each animal. EPITARGET presents the first single-project effort for harmonization of preclinical data collection and analysis in epilepsy research. EPITARGET is also anticipating the future challenges and requirements in a larger-scale preclinical harmonization of epilepsy studies, including training, data management expertise, cost, location, data safety and continuity of data repositories during and after funding period, and incentives motivating for the use of CDEs.

摘要

临床前试验所获数据未能转化至临床应用,这促使研究人员开发新方法,以增强临床前研究的效能和可重复性。其中一种方法涉及数据收集与分析的协调统一,且在抗癫痫药物临床试验中已使用良久。EPITARGET是一个由欧盟第七框架计划资助的研究联盟,由来自9个国家的18个合作伙伴组成。其主要研究目标是识别生物标志物并开发癫痫发生的治疗方法。作为实验室间程序协调统一的第一步,EPITARGET成立了工作组,用于设计适用于项目的数据通用数据元素(CDE)和病例报告表(CRF),以便用于数据收集与分析。开发了CRF的八个主要模块,每个动物呈现超过1000个数据点。EPITARGET是癫痫研究中首次对临床前数据收集与分析进行协调统一的单一项目努力。EPITARGET还预期了癫痫研究大规模临床前协调统一中的未来挑战和要求,包括培训、数据管理专业知识、成本、地点、资助期间及之后数据存储库的数据安全和连续性,以及激励使用CDE的因素。

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