Limits...
Screening tests: a review with examples.

Maxim LD, Niebo R, Utell MJ - Inhal Toxicol (2014)

Bottom Line: This article presents an overview of such tests including the definitions of key technical (sensitivity and specificity) and population characteristics necessary to assess the benefits and limitations of such tests.The importance of careful consideration of the consequences of both false positives and negatives is highlighted.Receiver operating characteristic curves are explained as is the need to carefully select the population group to be tested.

View Article: PubMed Central - PubMed

Affiliation: Everest Consulting Associates , Cranbury, NJ , USA and.

ABSTRACT
Screening tests are widely used in medicine to assess the likelihood that members of a defined population have a particular disease. This article presents an overview of such tests including the definitions of key technical (sensitivity and specificity) and population characteristics necessary to assess the benefits and limitations of such tests. Several examples are used to illustrate calculations, including the characteristics of low dose computed tomography as a lung cancer screen, choice of an optimal PSA cutoff and selection of the population to undergo mammography. The importance of careful consideration of the consequences of both false positives and negatives is highlighted. Receiver operating characteristic curves are explained as is the need to carefully select the population group to be tested.

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Combination of values of prevalence, specificity and sensitivity associated with a regret probability of 0.80.
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Figure 4: Combination of values of prevalence, specificity and sensitivity associated with a regret probability of 0.80.

Mentions: Figure 4 shows the locus of points that have a constant regret (equal to 0.8) as a function of specificity and prevalence for values of sensitivity ranging from 0.7 through 0.9; this test characteristic does not have much leverage in this example. Rather the prevalence and specificity are the key variables.


Screening tests: a review with examples.

Maxim LD, Niebo R, Utell MJ - Inhal Toxicol (2014)

Combination of values of prevalence, specificity and sensitivity associated with a regret probability of 0.80.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4389712&req=5

Figure 4: Combination of values of prevalence, specificity and sensitivity associated with a regret probability of 0.80.
Mentions: Figure 4 shows the locus of points that have a constant regret (equal to 0.8) as a function of specificity and prevalence for values of sensitivity ranging from 0.7 through 0.9; this test characteristic does not have much leverage in this example. Rather the prevalence and specificity are the key variables.

Bottom Line: This article presents an overview of such tests including the definitions of key technical (sensitivity and specificity) and population characteristics necessary to assess the benefits and limitations of such tests.The importance of careful consideration of the consequences of both false positives and negatives is highlighted.Receiver operating characteristic curves are explained as is the need to carefully select the population group to be tested.

View Article: PubMed Central - PubMed

Affiliation: Everest Consulting Associates , Cranbury, NJ , USA and.

ABSTRACT
Screening tests are widely used in medicine to assess the likelihood that members of a defined population have a particular disease. This article presents an overview of such tests including the definitions of key technical (sensitivity and specificity) and population characteristics necessary to assess the benefits and limitations of such tests. Several examples are used to illustrate calculations, including the characteristics of low dose computed tomography as a lung cancer screen, choice of an optimal PSA cutoff and selection of the population to undergo mammography. The importance of careful consideration of the consequences of both false positives and negatives is highlighted. Receiver operating characteristic curves are explained as is the need to carefully select the population group to be tested.

Show MeSH