Evidence map›Paper›PMID 42201458›Full record

ArticleEuropean journal of epidemiology2026

The analysis of cancer screening trials in which the outcome is the incidence of late-stage disease.

Noel S Weiss, Larry Kessler, Ruth Etzioni

Abstract readLetter
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 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

3 authors.

Noel S WeissDepartment of Epidemiology, University of Washington, 18372 Ridgefield Rd NW, Shoreline, Seattle, WA, 98177, USA. nweiss@uw.edu.ORCID http://orcid.org/0000-0002-3987-5184
Larry KesslerDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, USA.
Ruth EtzioniDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.

Funding

Modeling and analytics for cancer diagnostics: traversing the data-evidence divideR35CA274442 · NCI · FRED HUTCHINSON CANCER CENTER · PI RUTH D ETZIONI · 2022 to 2026
$4.9M
NCI NIH HHS R35 CA274442
6 · The paper itself

Abstract

The National Health Service-Galleri randomized trial seeks to determine the extent to which a blood-based multi-cancer screening test can lead to a reduced incidence of a variety of cancers that are at a late stage as of the time of initial diagnosis. In February 2026, the investigators of this trial issued a news release indicating that after several years of follow-up, for a group of 12 pre-specified forms of cancer there was a lower incidence of stage IV cancer among patients in the intervention arm of the trial than in the control arm. The release stated that a group of participants whose stage IV cancer could not have been influenced by the screening - those with stage IV disease already present as of the initial screening exam - had been excluded from this analysis. We argue that while it is appropriate to restrict such an analysis to persons without prevalent stage IV cancer at the start of the trial, a valid result will be obtained only after accounting for the counterparts of these cases that are present in the trial's control arm. We describe how this can be accomplished, and the assumptions needed for such a strategy to succeed.

Indexed as

Early Detection of CancerMass ScreeningNeoplasmsHumansIncidenceNeoplasm StagingRandomized Controlled Trials as Topic

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.