title: [Estimation of sample size in randomized controlled clinical trials--elimination of various systematic biases by the utilization of computer network system].
abstract: Although sample size calculation is mandatory in clinical trials, the power of most of the published small size clinical studies, was only about 0.25 instead of 0.80 which is normally required in a standard randomized controlled trial. This phenomenon is probably due to the publication bias. In a cancer clinical study, the ideal sample size needed in a trial exceeds over a thousand, when significance level was fixed under 0.05 and treatment difference is estimated from 10 to 15%. In such cases, evaluation of a new treatment in less common cancers or in a specified strata become unfeasible. Although statistically plausible clinical trial is difficult, small trials of newly advocated treatment is likely to be performed elsewhere, and presentation of these haphazard results might propagate a wrong information about the new treatment. To prevent the dissemination of these biased results, 1) preregistration of all planned clinical trials to an authorized organization before the initiation of the trial, 2) randomization of the patients entered in the trial from the first case, and 3) registration of all available data of the patients and meta-analysis of preregistered multiple trials, should be the most effective counterplans. In order to achieve those functions, installation of a computer assisted coordinating center is considered to be the best solution for the proper evaluation of the clinical trial as well as for the evaluation of a new treatment. With the collaboration of regional affiliating hospitals, a pilot study have started to establish a computer network system.
authors.affiliation: Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.
authors.forename: J
authors.initials: J
authors.lastname: Sakamoto
authors.forename: H
authors.initials: H
authors.lastname: Nakazato
mesh_terms: D003628:Database Management Systems; D006801:Humans; D015201:Meta-Analysis as Topic; D009369:Neoplasms; D011643:Publishing; D016032:Randomized Controlled Trials as Topic / Q000379:methods* / Q000592:standards