Evidence map›Paper›PMID 39400565›Full record

ArticleJournal of the National Cancer Institute2025

More efficient, smaller multicancer screening trials.

Peter Sasieni, Adam R Brentnall

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Ethical Considerations and Implications of Multi-Cancer Early Detection Screening: Reliability, Access and Cost to Test and Treat.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2025
    Article
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  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Peter SasieniWolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-1509-8744
Adam R BrentnallWolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-6327-4357

Funding

Cancer Research UK CTUQQR-Dec22/100005Peter Sasieni for the Cancer Prevention Trials Unit
6 · The paper itself

Abstract

backgroundThe NHS-Galleri Trial has demonstrated feasibility of a trial design in which all participants provide a "sample" for screening, but only samples from the intervention arm are tested and acted upon during the trial. We assessed the efficiency of analysis methods when the control arm may be retrospectively tested at the time of analysis.

methodsAnalyses considered were (1) the traditional method (random allocation, with all events included), (2) the "intended-effect" method (nested in those individuals who tested positive in both arms and all events therein), and (3) the targeted method (by random allocation but with an endpoint "test-positive event"). These methods are compared using approximate statistical methods and scenario analysis.

resultsProvided that the number of individuals who die from cancer after a test-positive sample is a small fraction of the total number who die from cancer, intended-effect and targeted analyses require a much smaller sample size to evaluate cancer-specific mortality than the traditional approach. Intended-effect analysis has a smaller sample size requirement than targeted analysis does. This gain is substantial only when the risk of cancer death in individuals testing positive is high.

conclusionIntended-effect or targeted analysis may substantially reduce the sample size needed to evaluate cancer-specific mortality in blood-based screening trials. Targeted analysis requires many fewer retrospective tests and avoids potential problems arising from the need to inform those individuals whose stored samples test positive. Trialists should consider the trade-off of costs between sample size and retrospective testing requirements when choosing the analysis method.

Indexed as

Early Detection of CancerMass ScreeningMulticenter Studies as TopicNeoplasmsRandomized Controlled Trials as TopicResearch DesignFemaleHumansSample Size

Identifiers

PMID39400565
PMCPMC11884843

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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.