Leveraging the power of pooled data for cancer outcomes research

作     者：Kiara Hugh-Yeun Winson Y.Cheung 

作者机构：Division of Medical OncologyBritish Columbia Cancer Agency 

出 版 物：《Chinese Journal of Cancer》 (Chinese Journal of Cancer)

年 卷 期：2016年第35卷第8期

页      面：388-390页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Colon cancer Informed consent Risk assessment Clinical outcomes 

摘      要：Background:Clinical trials continue to be the gold standard for determining the efficacy of novel cancer treatments,but they may also expose participants to the potential risks of unpredictable or severe *** development of validated tools that better inform patients of the benefits and risks associated with clinical trial participation can facilitate the informed consent *** design and validation of such instruments are strengthened when we leverage the power of pooled data analysis for cancer outcomes *** body:In a recent study published in the Journal of Clinical Oncology entitled Determinants of early mortality among 37,568 patients with colon cancer who participated in 25 clinical trials from the adjuvant colon cancer endpoints database, using a large pooled analysis of over 30,000 study participants who were enrolled in clinical trials of adjuvant therapy for early-stage colon cancer,we developed and validated a nomogram depicting the predictors of early cancer *** database of pooled individual-level data allowed for a comprehensive analysis of poor prognostic factors associated with early death;furthermore,it enabled the creation of a nomogram that was able to reliably capture and quantify the benefit-to-risk profile for patients who are considering clinical trial *** toolcan facilitate treatment decision-making ***:As China and other Asian countries continue to conduct oncology clinical trials,efforts to collate patient-level information from these studies into a large data repository should be strongly considered since pooled data can increase future capacity for cancer outcomes research,which,in turn,can enhance patient-physician discussions and optimize clinical care.