Isaakidis Petros, Swingler George H, Pienaar Elizabeth, Volmink Jimmy, Ioannidis John P A
Clinical Trials and Evidence Based Medicine Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
BMJ. 2002 Mar 23;324(7339):702. doi: 10.1136/bmj.324.7339.702.
To evaluate whether the amount of randomised clinical research on various medical conditions is related to the burden of disease and health needs of the local populations in sub-Saharan Africa.
Construction and analysis of comprehensive database of randomised controlled trials in sub-Saharan Africa based on Medline, the Cochrane Controlled Trials Register, and several African databases.
Sub-Saharan Africa.
Number of trials and randomised subjects for each category of disease in the global burden of disease taxonomy; ratios of disability adjusted life years (DALYs) per amount of randomised evidence.
1179 eligible randomised controlled trials were identified. The number of trials published each year increased over time. Almost half of the trials (n=565) had been done in South Africa. There was relatively good correlation between the estimated burden of disease at year 2000 and the number of trials performed (r=0.53, P=0.024) and the number of participants randomised (r=0.68, P=0.002). However,some conditions-for example, injuries (over 20 000 DALYs per patient ever randomised)-were more neglected than others.
Despite recent improvements, few clinical trials are done in sub-Saharan Africa. Clinical research in this part of the world should focus more evenly on the major contributors to burden of disease.
评估撒哈拉以南非洲地区针对各种医疗状况的随机临床研究数量是否与当地人群的疾病负担和健康需求相关。
基于医学在线数据库(Medline)、考克兰对照试验注册库以及几个非洲数据库,构建并分析撒哈拉以南非洲地区随机对照试验的综合数据库。
撒哈拉以南非洲地区。
疾病全球负担分类中每类疾病的试验数量和随机受试者数量;每单位随机证据的伤残调整生命年(DALY)比率。
共识别出1179项符合条件的随机对照试验。每年发表的试验数量随时间增加。几乎一半的试验(n = 565)在南非进行。2000年估计的疾病负担与进行的试验数量(r = 0.53,P = 0.024)以及随机分组的参与者数量(r = 0.68,P = 0.002)之间存在相对良好的相关性。然而,某些状况——例如,伤害(每位随机分组患者的伤残调整生命年超过20000)——比其他状况更受忽视。
尽管近期有所改善,但撒哈拉以南非洲地区进行的临床试验仍然很少。世界这一地区的临床研究应更均衡地关注导致疾病负担的主要因素。