Evidence map›Paper›PMID 41840743›Full record

ArticleBMJ open2026

Microsimulation model to identify suboptimal recurrence detection in patients with colorectal cancer following the current standard of care.

Sumeyye Samur, Emir Gursel, Ning Yan Gu, Gebra Cuyun Carter, Mert Sahinkoc, Turgay Ayer, Jagpreet Chhatwal, Somasundaram Subramaniam, Melanie Palomares, Aparna R Parikh and 1 more

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Sumeyye SamurValue Analytics Labs, Boston, Massachusetts, USA ssamur@valueanalyticslabs.com.ORCID http://orcid.org/0009-0007-3980-8188
Emir GurselValue Analytics Labs, Boston, Massachusetts, USA.
Ning Yan GuExact Sciences Corporation, Madison, Wisconsin, USA.
Gebra Cuyun CarterExact Sciences Corporation, Madison, Wisconsin, USA.
Mert SahinkocValue Analytics Labs, Boston, Massachusetts, USA.
Turgay AyerValue Analytics Labs, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-8720-0280
Jagpreet ChhatwalValue Analytics Labs, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-8741-4430
Somasundaram SubramaniamExact Sciences Corporation, Madison, Wisconsin, USA.
Melanie PalomaresExact Sciences Corporation, Madison, Wisconsin, USA.
Aparna R ParikhHarvard Medical School, Boston, Massachusetts, USA.
Alfred I NeugutMedicine, Columbia University Medical Center, New York City, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesColorectal cancer (CRC) is one of the most common cancers worldwide. Stage II/III patients undergo curative-intent surgery yet still face the recurrence risk. Detecting recurrences early provides the best opportunity for optimal treatment. We aimed to develop a microsimulation model to evaluate CRC management-associated outcomes based on current guidelines, including the performance of guideline-recommended surveillance in detecting recurrences.

designTwo separate individual-level state transition (microsimulation) models for colon and rectal cancer were built with a lifetime horizon using monthly cycles. The models integrated treatment and surveillance strategies per current guidelines.

settingThe currently recommended surveillance modalities by National Comprehensive Cancer Network guidelines for surveilling patients with CRC after curative-intent surgery.

participants65-year-old patients with stage II and stage III CRC who underwent curative-intent surgery in the USA. OUTCOME MEASURES: Cumulative recurrences, detected recurrences, detection rate, overall survival and recurrence-free survival in a 5-year horizon, as well as average life expectancy, were the outcome measures used.

resultsOver 5 years, disease recurrence was observed in 9.5% of patients with stage II-III colon cancer and in 38.0% of patients with stage II-III rectal cancer. Of these, 82.5% and 85.5% were detected via surveillance, respectively, within 5 years. The predicted 5-year overall survival was 86.0% for colon cancer and 69.3% for rectal cancer, with corresponding recurrence-free survival rates of 78.9% and 53.8%. Based on current guidelines-recommended surveillance, detecting one colon cancer recurrence requires 148 carcinoembryonic antigen (CEA) tests, 37 CT scans and 21 colonoscopies. In contrast, detecting one rectal cancer recurrence requires 31 CEA tests, 8 CT scans and 4 colonoscopies.

conclusionsOur validated model suggests that relative to an optimal benchmark in which all recurrences are detected, recurrence detection under current guidelines may be suboptimal, indicating room for improvement. As new tests emerge, this model could be a valuable tool for evaluating existing clinical practices and the potential of new tests to enhance patient outcomes.

Indexed as

Colorectal NeoplasmsNeoplasm Recurrence, LocalAgedColorectal Surgical ProceduresComputer SimulationDisease-Free SurvivalFemaleHumansMaleNeoplasm StagingPractice Guidelines as TopicRectal NeoplasmsStandard of CareUnited StatesColon cancerColorectal cancerMicrosimulationRectal cancerRecurrenceSimulation modelingSurveillance

Identifiers

PMID41840743
PMCPMC12993317

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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.