Requirements for controlled therapeutic trials in male infertility.

Clinical reproduction and fertility Pub Date : 1986-02-01
H W Baker
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Abstract

The majority of men who present with infertility have oligospermia or asthenospermia which renders them subfertile; pregnancies occur at lower than normal rates. Currently available treatments for this group are of uncertain value. This paper outlines an approach to controlled trials to test old and new methods for their ability to improve semen quality and increase pregnancy rates. As well as careful design, the need for control groups and large numbers of subjects is emphasized. Control groups are necessary because pregnancies and apparent or real spontaneous improvements in semen test results occur without treatment. Trials to evaluate differences in pregnancy rates need to be large because pregnancy rates are low and the margin for improvement narrow. Most untreated infertile couples have average pregnancy rates of less than 5% per month, whereas pregnancy rates in the general community average 20% per month. Under these circumstances, small trials with less than 20 pregnancies are unhelpful as they are not sensitive enough to detect less than threefold differences in pregnancy rates between groups. The number of subjects required for a trial can be calculated or determined from tables or graphs. A 50% difference in pregnancy rates in two groups given alternative treatments only has a high chance of being statistically significant if there are hundreds of subjects achieving a total of approximately 200 pregnancies in the trial. Such large trials can only be performed by several centres collaborating.

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男性不育症对照治疗试验的要求。
大多数患有不孕症的男性患有少精子症或弱精子症,这使他们的生育能力低下;怀孕率低于正常水平。目前对这一群体可用的治疗方法的价值尚不确定。本文概述了一种对照试验的方法,以测试新旧方法改善精液质量和增加怀孕率的能力。除了精心设计外,还强调了对控制组和大量受试者的需求。控制组是必要的,因为妊娠和明显或真正自发的精液检测结果的改善无需治疗。评估妊娠率差异的试验需要很大,因为妊娠率很低,改善的余地很小。大多数未经治疗的不孕夫妇的平均怀孕率每月不到5%,而一般社区的平均怀孕率每月为20%。在这种情况下,少于20次怀孕的小型试验是没有帮助的,因为它们不够敏感,无法检测到两组之间怀孕率的差异小于三倍。试验所需的受试者数量可以通过表格或图表计算或确定。在接受替代治疗的两组中,50%的怀孕率差异只有在试验中有数百名受试者总共怀孕约200次的情况下才有很高的统计学意义。如此大规模的试验只能由几个中心合作进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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