Rembold C M
Cardiovascular Division, Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville, Virginia 22908, USA.
BMJ. 1998 Aug 1;317(7154):307-12. doi: 10.1136/bmj.317.7154.307.
To develop the number needed to screen, a new statistic to overcome inappropriate national strategies for disease screening. Number needed to screen is defined as the number of people that need to be screened for a given duration to prevent one death or adverse event.
Number needed to screen was calculated from clinical trials that directly measured the effect of a screening strategy. From clinical trials that measured treatment benefit, the number needed to screen was estimated as the number needed to treat from the trial divided by the prevalence of heretofore unrecognised or untreated disease. Directly calculated values were then compared with estimate number needed to screen values.
Standard literature review.
For prevention of total mortality the most effective screening test was a lipid profile. The estimated number needed to screen for dyslipidaemia (low density lipoprotein cholesterol concentration >4.14 mmol/1) was 418 if detection was followed by pravastatin treatment for 5 years. This indicates that one death in 5 years could be prevented by screening 418 people. The estimated number needed to screen for hypertension was between 274 and 1307 for 5 years (for 10 mm Hg and 6 mm Hg diastolic blood pressure reduction respectively) if detection was followed by treatment based on a diuretic. Screening with haemoccult testing and mammography significantly decreased cancer specific, but not total, mortality. The number needed to screen for haemoccult screening to prevent a death from colon cancer was 1374 for 5 years, and the number needed to screen for mammography to prevent a death from breast cancer was 2451 for 5 years for women aged 50-59.
These data allow the clinician to prioritise screening strategies. Of the screening strategies evaluated, screening for, and treatment of, dyslipidaemia and hypertension seem to produce the largest clinical benefit.
开发需筛查人数这一新型统计指标,以克服疾病筛查中不恰当的国家策略。需筛查人数定义为在特定时间段内为预防一例死亡或不良事件所需筛查的人数。
需筛查人数通过直接测量筛查策略效果的临床试验计算得出。对于测量治疗益处的临床试验,需筛查人数估计为试验中需治疗人数除以既往未被识别或未治疗疾病的患病率。然后将直接计算值与需筛查人数估计值进行比较。
标准文献综述。
为预防全因死亡率,最有效的筛查检测是血脂谱检测。如果检测出血脂异常(低密度脂蛋白胆固醇浓度>4.14 mmol/L)后使用普伐他汀治疗5年,估计需筛查人数为418人。这表明筛查418人可在5年内预防一例死亡。如果检测出高血压后使用利尿剂进行治疗,5年内预防收缩压降低10 mmHg和舒张压降低6 mmHg的需筛查人数分别在274至1307人之间。潜血检测和乳房X线摄影筛查可显著降低癌症特异性死亡率,但不能降低全因死亡率。5年内通过潜血筛查预防一例结肠癌死亡的需筛查人数为1374人,50至59岁女性通过乳房X线摄影筛查预防一例乳腺癌死亡的需筛查人数为2451人。
这些数据有助于临床医生对筛查策略进行优先级排序。在所评估的筛查策略中,血脂异常和高血压的筛查及治疗似乎能产生最大的临床益处。