Britton A, McKee M, Black N, McPherson K, Sanderson C, Bain C
London School of Hygiene and Tropical Medicine, London, UK.
J Health Serv Res Policy. 1999 Apr;4(2):112-21. doi: 10.1177/135581969900400210.
Although the randomised controlled trial (RCT) is regarded as the 'gold standard' in terms of evaluating the effectiveness of interventions, it is susceptible to challenges to its external validity if those participating are unrepresentative of the reference population for whom the intervention in question is intended. In the past, reporting on numbers and types of potential subjects that have been excluded by design, and centres, clinicians or patients that have elected not to participate, has generally been poor, and the threat to inference posed by possible selection bias is unclear.
A systematic review was undertaken, based largely on MEDLINE and EMBASE with follow-up of cited references, to assess the extent, nature and importance of excluding potential subjects or the unwillingness of particular centres, clinicians or patients to participate.
RCTs vary widely in the extent to which potential future recipients of treatment are included. The reasons cited for excluding certain categories of patient may be medical or scientific. Medical reasons include a high risk of adverse effects and the belief that benefit will be relatively small or absent (or has already been established) in the groups in question. Scientific reasons include more precise estimates of treatment effect because of a relatively homogeneous sample and the reduction of potential bias by excluding those individuals most likely to be lost to follow-up. Many RCTs have blanket exclusions, such as the elderly, women and ethnic minorities, but reasons for these exclusions are seldom given. Evaluative research is undertaken predominantly in university or teaching centres. Non-randomised studies are more likely than RCTs to include non-teaching centres. The effect of patient non-participation appears to depend on whether the RCT is concerned with treatment of an existing condition or with disease prevention. Participants in treatment trials tend to be more severely ill than those who do not participate. In contrast, those who participate in prevention trials are more likely to have adopted a healthy lifestyle than those who decline. Most evaluative studies fail to document adequately the characteristics of those who, while eligible, do not participate. However, subjects included in RCTs (i.e. eligible and participating) tend to have a different prognosis than patients identified from clinical databases.
Narrow inclusion criteria may offer benefits such as increased precision and reduced loss to follow-up, but there are important disadvantages, such as uncertainty about extrapolation of results, which may result in denial of effective treatment to groups who might benefit, and delay in obtaining definitive results because of reduced recruitment rate. Selective participation by teaching centres and sicker patients in treatment RCTs may exaggerate the measured treatment effect. Prevention trials, on the other hand, may underestimate effects as participants have less capacity to benefit.
尽管随机对照试验(RCT)在评估干预措施的有效性方面被视为“金标准”,但如果参与试验的人群不能代表该干预措施所针对的参考人群,其外部有效性就容易受到挑战。过去,关于因设计原因被排除的潜在受试者的数量和类型,以及那些选择不参与的中心、临床医生或患者的报告通常很匮乏,而且可能存在的选择偏倚对推断造成的威胁也不明确。
进行了一项系统综述,主要基于MEDLINE和EMBASE,并对引用的参考文献进行追踪,以评估排除潜在受试者或特定中心、临床医生或患者不愿参与的程度、性质和重要性。
RCT在纳入未来可能接受治疗的受试者的程度上差异很大。 cited for excluding certain categories of patient may be medical or scientific. Medical reasons include a high risk of adverse effects and the belief that benefit will be relatively small or absent (or has already been established) in the groups in question. Scientific reasons include more precise estimates of treatment effect because of a relatively homogeneous sample and the reduction of potential bias by excluding those individuals most likely to be lost to follow-up. Many RCTs have blanket exclusions, such as the elderly, women and ethnic minorities, but reasons for these exclusions are seldom given. Evaluative research is undertaken predominantly in university or teaching centres. Non-randomised studies are more likely than RCTs to include non-teaching centres. The effect of patient non-participation appears to depend on whether the RCT is concerned with treatment of an existing condition or with disease prevention. Participants in treatment trials tend to be more severely ill than those who do not participate. In contrast, those who participate in prevention trials are more likely to have adopted a healthy lifestyle than those who decline. Most evaluative studies fail to document adequately the characteristics of those who, while eligible, do not participate. However, subjects included in RCTs (i.e. eligible and participating) tend to have a different prognosis than patients identified from clinical databases.
狭窄的纳入标准可能带来一些益处,如提高精确性和减少失访,但也存在重要的缺点,如结果外推的不确定性,这可能导致可能受益的群体无法获得有效治疗,以及由于招募率降低而延迟获得确切结果。教学中心和病情较重的患者在治疗性RCT中的选择性参与可能会夸大所测得的治疗效果。另一方面,预防性试验可能会低估效果,因为参与者受益的能力较低。