1998
DOI: 10.1136/bmj.317.7154.307
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Number needed to screen: development of a statistic for disease screening

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Cited by 324 publications
(235 citation statements)
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“…5 In our study, however, values of the NNS for an individual decrease in %DLCO every 3 and 6 months seem not to be high from the viewpoints of prevention and early detection of APT, because these values are lower than those for mammography in women aged 50-59. 31 KL-6 is a high-molecular-weight, mucin-like glycoprotein secreted by proliferating type II alveolar pneumocytes, and is a sensitive marker of disease activity in various interstitial lung diseases. 32 An increase in the level of circulating KL-6 has been described in APT patients, 7 but its sensitivity and specificity as a predictor of APT are unclear.…”
Section: Discussionmentioning
confidence: 99%
“…5 In our study, however, values of the NNS for an individual decrease in %DLCO every 3 and 6 months seem not to be high from the viewpoints of prevention and early detection of APT, because these values are lower than those for mammography in women aged 50-59. 31 KL-6 is a high-molecular-weight, mucin-like glycoprotein secreted by proliferating type II alveolar pneumocytes, and is a sensitive marker of disease activity in various interstitial lung diseases. 32 An increase in the level of circulating KL-6 has been described in APT patients, 7 but its sensitivity and specificity as a predictor of APT are unclear.…”
Section: Discussionmentioning
confidence: 99%
“…This concept has been statistically described [14] and used in studies with radiographic assessment of different diseases, presented according to Number Needed to Treat (NNT) analysis terminology [15]. With the clear similarities between radiological and clinical screening, we suggest that the use of NNS is appropriate in the present clinical trial.…”
Section: Number Needed To Screen (Nns) and Number Needed To Allocatementioning
confidence: 99%
“…25 Another absolute measure of benefit is the number needed to screen (NNS), which describes how many people have to be screened and provided follow-up testing and treatment to save one person (a slightly modified form of the number needed to treat (NNT) measure). 26 According to the model above, roughly 204 women have to be screened for 20 years to save one from dying of breast cancer during that time period. 25 However, patients are rarely given such absolute measures of possible benefit.…”
Section: Patient Understanding and Framing Of Risk/ Benefit Datamentioning
confidence: 99%