Modelling the impact of bias in fecal immunochemical testing on long-term outcomes of colorectal cancer screening.

Allowable performance specifications CRC screening FIT Microsimulation modelling

Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
13 Jun 2024
Historique:
received: 04 06 2024
accepted: 08 06 2024
medline: 16 6 2024
pubmed: 16 6 2024
entrez: 15 6 2024
Statut: aheadofprint

Résumé

As the impact of unmanaged bias (i.e. systematic source of inaccuracy) in fecal immunochemical test (FIT) analytical performance on long-term colorectal cancer (CRC) outcomes is unknown, we assessed the impact bias in FIT performance in an ongoing FIT-based CRC screening program. This study consisted of two parts: cross-sectional observational data analysis to estimate change in short-term outcomes and microsimulation modelling to estimate change in long-term outcomes assuming different levels of bias by assuming 15 % lower up to 15 % higher Hemoglobin detected in the stool compared to observed. Two scenarios were considered: bias occurring 1) one-time only, due to the occasional bias associated with the FIT kits used in 2020 and 2) consistently due to a constant bias associated with the FIT kits used from 2020 onwards. With a hypothetical bias of -15 % to +15 %, we observed a positivity rate ranging from 6.7 % to 7.8 %, and a detection rate for CRC between 0.65 % and 0.68 %. Single biases in FIT performance resulted in less than 0.1 % change in long-term CRC screening outcomes, while consistent biases resulted in a much larger change (up to 1.4 % in CRC cases and CRC-related deaths and up to 2.07 % in total costs). Detecting lower Hemoglobin concentrations resulted in a relatively larger change on long-term CRC outcomes in comparison to positive bias. Because of the substantial impact of consistent FIT bias, it is important to set evidence-based acceptance criteria of bias on long-term CRC screening outcomes and in particular, the introduction of an asymmetrical or upward shifted tolerance interval for FIT bias.

Sections du résumé

BACKGROUND BACKGROUND
As the impact of unmanaged bias (i.e. systematic source of inaccuracy) in fecal immunochemical test (FIT) analytical performance on long-term colorectal cancer (CRC) outcomes is unknown, we assessed the impact bias in FIT performance in an ongoing FIT-based CRC screening program.
METHODS METHODS
This study consisted of two parts: cross-sectional observational data analysis to estimate change in short-term outcomes and microsimulation modelling to estimate change in long-term outcomes assuming different levels of bias by assuming 15 % lower up to 15 % higher Hemoglobin detected in the stool compared to observed. Two scenarios were considered: bias occurring 1) one-time only, due to the occasional bias associated with the FIT kits used in 2020 and 2) consistently due to a constant bias associated with the FIT kits used from 2020 onwards.
RESULTS RESULTS
With a hypothetical bias of -15 % to +15 %, we observed a positivity rate ranging from 6.7 % to 7.8 %, and a detection rate for CRC between 0.65 % and 0.68 %. Single biases in FIT performance resulted in less than 0.1 % change in long-term CRC screening outcomes, while consistent biases resulted in a much larger change (up to 1.4 % in CRC cases and CRC-related deaths and up to 2.07 % in total costs). Detecting lower Hemoglobin concentrations resulted in a relatively larger change on long-term CRC outcomes in comparison to positive bias.
CONCLUSIONS CONCLUSIONS
Because of the substantial impact of consistent FIT bias, it is important to set evidence-based acceptance criteria of bias on long-term CRC screening outcomes and in particular, the introduction of an asymmetrical or upward shifted tolerance interval for FIT bias.

Identifiants

pubmed: 38879061
pii: S0009-8981(24)02061-8
doi: 10.1016/j.cca.2024.119809
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119809

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Prof. Dr. Iris Lansdorp-Vogelaar: Associate editor at Gastroenterology; expert at the Health Council; panel member of the European Commission Initiative on Colorectal Cancer; visiting scientist at IARC. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lucie de Jonge (L)

Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands. Electronic address: l.dejonge.3@erasmusmc.nl.

Esther Toes-Zoutendijk (E)

Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Brechtje D M Koopmann (BDM)

Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Marith van Schrojenstein Lantman (M)

Department of Laboratory Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands; Stichting kwaliteitsbewaking Medische Laboratoriumdiagnostiek (SKML), Nijmegen, The Netherlands.

Brenda Franken-van-Vorsselen (B)

Stichting kwaliteitsbewaking Medische Laboratoriumdiagnostiek (SKML), Nijmegen, The Netherlands.

Christel Speijers (C)

Stichting kwaliteitsbewaking Medische Laboratoriumdiagnostiek (SKML), Nijmegen, The Netherlands.

Huub van Ingen (H)

Star-shl, Etten-Leur, The Netherlands.

Erwin Humer (E)

Health Screening Organisation Bevolkingsonderzoek Nederland, The Netherlands.

Petra van der Groep (P)

Health Screening Organisation Bevolkingsonderzoek Nederland, The Netherlands.

Marc Thelen (M)

Department of Laboratory Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands; Stichting kwaliteitsbewaking Medische Laboratoriumdiagnostiek (SKML), Nijmegen, The Netherlands.

Iris Lansdorp-Vogelaar (I)

Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Classifications MeSH