{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T17:03:37Z","timestamp":1772816617228,"version":"3.50.1"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2005,12,16]],"date-time":"2005-12-16T00:00:00Z","timestamp":1134691200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["American J Industrial Med"],"published-print":{"date-parts":[[2006,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The beryllium lymphocyte proliferation test (BeLPT) is used to identify persons with beryllium sensitization. The variability of laboratory results and lack of a \u201cgold standard\u201d have led to questions about the test's performance. Fortunately, a recently published study has credibly estimated standard epidemiologic parameters for the BeLPT.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Information from this recent study was used to assess the performance of two common algorithms for BeLPT testing. Standard epidemiologic parameters were determined for two common algorithms and then compared.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>One of the two algorithms was more sensitive than the other (86% vs. 66%). The specificity of both algorithms (99.8% or greater) was high. At an estimated 2% prevalence, the positive predictive value of both algorithms for beryllium sensitization remained high (90% or higher).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>A priori characterization of the testing algorithm under consideration can enhance public health decision\u2010making. Am. J. Ind. 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