Evidence map›Paper›PMID 40095751›Full record

ArticleCancer medicine2025

Estimating the Burden of False Positives and Implementation Costs From Adding Multiple Single Cancer Tests or a Single Multi-Cancer Test to Standard-Of-Care Screening.

Sarina Madhavan, Allan Hackshaw, Earl Hubbell, Ellen T Chang, Anuraag Kansal, Christina A Clarke

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Sarina MadhavanMassachusetts General Hospital, Boston, Massachusetts, USA.
Allan HackshawUniversity College of London, London, UK.
Earl HubbellGRAIL, Inc., Menlo Park, California, USA.
Ellen T ChangGRAIL, Inc., Menlo Park, California, USA.ORCID https://orcid.org/0000-0002-7169-157X
Anuraag KansalGRAIL, Inc., Menlo Park, California, USA.
Christina A ClarkeMassachusetts General Hospital, Boston, Massachusetts, USA.

Funding

GRAIL Inc.
6 · The paper itself

Abstract

backgroundBlood-based tests present a promising strategy to enhance cancer screening through two distinct approaches. In the traditional paradigm of "one test for one cancer", single-cancer early detection (SCED) tests a feature high true positive rate (TPR) for individual cancers, but high false-positive rate (FPR). Whereas multi-cancer early detection (MCED) tests simultaneously target multiple cancers with one low FPR, offering a new "one test for multiple cancers" approach. However, comparing these two approaches is inherently non-intuitive. We developed a framework for evaluating and comparing the efficiency and downstream costs of these two blood-based screening approaches at the general population level.

methodsWe developed two hypothetical screening systems to evaluate the performance efficiency of each blood-based screening approach. The "SCED-10" system featured 10 hypothetical SCED tests, each targeting one cancer type; the "MCED-10" system included a single hypothetical MCED test targeting the same 10 cancer types. We estimated the number of cancers detected, cumulative false positives, and associated costs of obligated testing for positive results for each system over 1 year when added to existing USPSTF-recommended cancer screening for 100,000 US adults aged 50-79.

resultsCompared with MCED-10, SCED-10 detected 1.4× more cancers (412 vs. 298), but had 188× more diagnostic investigations in cancer-free people (93,289 vs. 497), lower efficiency (positive predictive value: 0.44% vs. 38%; number needed to screen: 2062 vs. 334), 3.4× the cost ($329 M vs. $98 M), and 150× higher cumulative burden of false positives per annual round of screening (18 vs. 0.12).

conclusionsA screening system for average-risk individuals using multiple SCED tests has a higher rate of false positives and associated costs compared with a single MCED test. A set of SCED tests with the same sensitivity as standard-of-care screening detects only modestly more cancers than an MCED test limited to the same set of cancers.

Indexed as

Biomarkers, TumorEarly Detection of CancerMass ScreeningNeoplasmsCost-Benefit AnalysisFalse Positive ReactionsHealth Care CostsHumansBiomarkers, Tumorblood‐based testingcancer preventioncancer screening

Identifiers

PMID40095751
PMCPMC11912434

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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.