Evidence map›Paper›PMID 41208393›Full record

ArticleCancer2025

The impact of multicancer early detection tests on cancer stage shift: A 10-year microsimulation model.

Jagpreet Chhatwal, Jade Xiao, Andrew K ElHabr, Christopher Tyson, Xiting Cao, Sana Raoof, A Mark Fendrick, A Burak Ozbay, Paul Limburg, Tomasz M Beer and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

12 authors.

Jagpreet ChhatwalMassachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8741-4430
Jade XiaoValue Analytics Labs, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-3517-9456
Andrew K ElHabrValue Analytics Labs, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-3778-5350
Christopher TysonExact Sciences Corporation, Madison, Wisconsin, USA.
Xiting CaoExact Sciences Corporation, Madison, Wisconsin, USA.
Sana RaoofMemorial Sloan Kettering Cancer Center, New York, New York, USA.
A Mark FendrickSchool of Public Health and School of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
A Burak OzbayExact Sciences Corporation, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-8624-6313
Paul LimburgExact Sciences Corporation, Madison, Wisconsin, USA.
Tomasz M BeerExact Sciences Corporation, Madison, Wisconsin, USA.
Andrew BriggsLondon School of Hygiene & Tropical Medicine, London, UK.
Ashish A DeshmukhMedical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0001-8936-8108

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Exact SciencesNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionEarly detection of cancer improves survival following diagnosis. However, routine screening is limited to a few cancer types. Multicancer early detection (MCED) tests could revolutionize cancer screening by simultaneously detecting multiple cancer types. This study evaluates the potential impact of an MCED test on stage shift in the US general population.

methodsA microsimulation model of 14 solid tumor cancer types that account for nearly 80% of cancer incidence and mortality was developed. The model was calibrated to reproduce annual incidence rates reported in the Surveillance, Epidemiology, and End Results database. Cancer diagnosis could arise from standard-of-care procedures or annual MCED testing. MCED sensitivities were derived from a large, multicenter, prospective, case control study. Ten-year disease progression was simulated for 5 million US adults aged 50 to 84 years. The primary outcome was stage shift resulting from MCED testing.

resultsOver 10 years, supplemental MCED testing led to a 10% increase in Stage I diagnoses, 20% increase in Stage II diagnoses, 34% increase in Stage III diagnoses, and 45% decrease in Stage IV diagnoses, relative to the standard of care alone. The largest absolute reductions in Stage IV diagnoses were in lung (400 vs. 765 per 100,000), colorectal (96 vs. 236), and pancreatic (89 vs. 211) cancer. The largest relative reductions were in cervical (83%), liver (74%), and colorectal (59%) cancer.

conclusionMCED testing has the potential to substantially reduce late-stage cancer diagnoses, improve outcomes across multiple cancer types, and address a critical gap in screening.

Indexed as

Early Detection of CancerNeoplasmsAgedAged, 80 and overCase-Control StudiesComputer SimulationDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedNeoplasm StagingProspective StudiesSEER ProgramUnited Statescancer or tumor stagingcancer screening testcancer stagingearly detection of cancerliquid biopsy

Identifiers

PMID41208393
PMCPMC12598375

What OpenQuestion holds

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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.