Evidence map›Paper›PMID 42772943›Full record

ArticleBMJ open gastroenterology2026

Evaluating the predictive value of multiple rounds of faecal haemoglobin measurement for the prediction of advanced neoplasia and colorectal cancer: an analysis of data from the Dutch national colorectal cancer screening programme.

Lucy Wairimu Mwangi, Chiara Brück, Alexandra Katsara, Esther Toes-Zoutendijk, Anneke van Vuuren, Marc Thelen, Iris Nagetaal, Evelien Dekker, Manon Spaander, Monique van Leerdam and 1 more

Abstract read
In one paragraph

Article in BMJ open gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lucy Wairimu MwangiDepartment of Public Health, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands l.mwangi@erasmusmc.nl.ORCID http://orcid.org/0000-0003-0079-9724
Chiara BrückDepartment of Public Health, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5677-269X
Alexandra KatsaraDepartment of Public Health, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
Esther Toes-ZoutendijkDepartment of Public Health, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-4001-2949
Anneke van VuurenDepartment of Gastroenterology and Hepatology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
Marc ThelenDepartment of Laboratory Medicine, SKML, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0003-1771-669X
Iris NagetaalDepartment of Laboratory Medicine, SKML, Radboud University Medical Centre, Nijmegen, The Netherlands.
Evelien DekkerDepartment of Gastroenterology and Hepatology, Amsterdam University Medical Centre, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-4363-0745
Manon SpaanderDepartment of Gastroenterology and Hepatology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.
Monique van LeerdamDepartment of Gastrointestinal Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Iris Lansdorp VogelaarDepartment of Public Health, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFaecal haemoglobin (f-Hb) concentrations from two screening rounds improve colorectal cancer (CRC) risk prediction, but the value of longer longitudinal data remains uncertain. This study aimed to assess whether incorporating f-Hb data from three prior screening rounds improves risk stratification for CRC and advanced neoplasia (AN).

methodsUsing data from four rounds of the Dutch national CRC screening programme (1 January 2014 and 31 December 2022), prognostic models combining age, sex, and f-Hb concentrations were developed to predict CRC and AN. Multiple representations of longitudinal f-Hb were evaluated. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration, and information criteria. Risk reclassification was quantified using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). The policy impact of risk-based referral, expressed as additional colonoscopies, was examined. External validation used data from a Dutch faecal immunochemical test pilot study.

resultsAmong 1 171 070 participants included, 2357 (0.2%) had CRC and 14 543 (1.2%) had AN. Models incorporating categorised f-Hb values from three prior rounds, age, and sex achieved the highest discrimination (AUC: AN 0.76 (0.75-0.77); CRC 0.73 (0.72-0.74)) and significantly improved reclassification (NRI and IDI, p<0.001). Participants in the highest 15% predicted risk had a 6.8-fold (95% CI 6.4 to 6.9) increased risk of AN and a 5.9-fold (95% CI 5.4 to 6.6) increased risk of CRC. Risk-based referral enabled earlier detection with minimal additional colonoscopy for both CRC and AN.

conclusionIncluding f-Hb data from three prior screening rounds improves CRC and AN risk prediction. Targeted referral of the highest risk individuals enables earlier detection with limited impact on colonoscopy capacity, supporting personalised CRC screening strategies.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerFecesHemoglobinsAgedColonoscopyFemaleHumansMaleMass ScreeningMiddle AgedNetherlandsOccult BloodPredictive Value of TestsPrognosisRisk AssessmentHemoglobinsCOLONOSCOPYCOLORECTAL CANCERCOLORECTAL CANCER SCREENING

Identifiers

PMID42772943
PMCPMC13599923

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.