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Details

Autor(en) / Beteiligte
Titel
An efficient strategy for evaluating new non-invasive screening tests for colorectal cancer: the guiding principles
Ist Teil von
  • Gut, 2023-10, Vol.72 (10), p.1904
Ort / Verlag
England
Erscheinungsjahr
2023
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • New screening tests for colorectal cancer (CRC) are rapidly emerging. Conducting trials with mortality reduction as the end point supporting their adoption is challenging. We re-examined the principles underlying evaluation of new non-invasive tests in view of technological developments and identification of new biomarkers. A formal consensus approach involving a multidisciplinary expert panel revised eight previously established principles. Twelve newly stated principles emerged. Effectiveness of a new test can be evaluated by comparison with a proven comparator non-invasive test. The faecal immunochemical test is now considered the appropriate comparator, while colonoscopy remains the diagnostic standard. For a new test to be able to meet differing screening goals and regulatory requirements, flexibility to adjust its positivity threshold is desirable. A rigorous and efficient four-phased approach is proposed, commencing with small studies assessing the test's ability to discriminate between CRC and non-cancer states ( ), followed by prospective estimation of accuracy across the continuum of neoplastic lesions in neoplasia-enriched populations ( ). If these show promise, a provisional test positivity threshold is set before evaluation in typical screening populations. prospective studies determine single round intention-to-screen programme outcomes and confirm the test positivity threshold. studies involve evaluation over repeated screening rounds with monitoring for missed lesions. Phases III and IV findings will provide the real-world data required to model test impact on CRC mortality and incidence. New non-invasive tests can be efficiently evaluated by a rigorous phased comparative approach, generating data from unbiased populations that inform predictions of their health impact.
Sprache
Englisch
Identifikatoren
eISSN: 1468-3288
DOI: 10.1136/gutjnl-2023-329701
Titel-ID: cdi_pubmed_primary_37463757

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