Risk prediction for advanced neoplasia using longitudinal adherence measures to fecal immunochemical test-based colorectal cancer screening programs

L. de Jonge*, Emilia Riggi, Luuk A. van Duuren, Esther Toes-Zoutendijk, Cinzia Campari, Romano Sassatelli, Arrigo Arrigoni, Lorenzo Orione, Iris Lansdorp-Vogelaar, Carlo Senore

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: Patterns of longitudinal adherence may predict advanced neoplasia (AN) detection in subsequent rounds of colorectal cancer (CRC) screening. However, after more than five rounds, it is important to obtain a simplified measure. The aim was to determine the best simplified measure of longitudinal adherence to predict AN detection in CRC screening. Methods: Individuals with four invitations from a Dutch Fecal immunochemical testing (FIT-)based pilot study and two Italian FIT-based CRC screening programs were included. We calculated AN detection in the fourth round, stratified by prior adherence. Five simplified measures were compared to full information (permutations) using chi-squared goodness-of-fit: adherence previous invitation, consistency, frequency, frequency + adherence previous invitation, and proportion of invitations covered. Results: AN detection in the fourth round was highly dependent on prior adherence behavior. For inconsistent adherence, detection in the fourth round was strongly dependent on frequency and time since last participation. The performance of the simplified measures to capture this variation differed considerably. ‘Adherence previous invitation’ scored worst in predicting AN detection. ‘Frequency+adherence previous invitation’ had lowest chi-squared goodness-of-fit. Discussion: The simplified measure ‘frequency+adherence previous invitation’ is the best measure to reflect patterns of longitudinal adherence and could be used to emphasize to individuals the importance of CRC screening.

Original languageEnglish
Article number107488
JournalPreventive Medicine
Volume170
DOIs
Publication statusPublished - May 2023

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