Evidence map›Paper›PMID 37259797›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Short-term Endpoints for Cancer Screening Trials: Does Tumor Subtype Matter?

Lukas Owens, Kemal Caglar Gogebakan, Usha Menon, Roman Gulati, Noel S Weiss, Ruth Etzioni

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Late-Stage Outcomes as Surrogates for Mortality in Cancer Screening Trials: A Systematic Review and Meta-analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  2. Article
  3. Article
  4. 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.

Lukas OwensDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-5149-5379
Kemal Caglar GogebakanCenter for Early Detection Advanced Research, Knight Cancer Institute, Portland, Oregon.ORCID 0000-0001-5556-4194
Usha MenonInstitute of Clinical Trials and Methodology, University College London, United Kingdom.ORCID 0000-0003-3708-1732
Roman GulatiDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-7592-6567
Noel S WeissDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0002-3987-5184
Ruth EtzioniDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0002-9164-6370

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
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
Department of Health IS-BRC-1215-20016Medical Research Council MC_UU_00004/01NCI NIH HHS R35 CA274442NCI NIH HHS R50 CA221836
6 · The paper itself

Abstract

Multicancer early detection tests are precipitating a reexamination of potential short-term endpoints for cancer screening trials. A reduction in advanced stage incidence is a prime candidate, and stage-shift models that substitute early-stage for late-stage survival have been used to predict mortality reduction due to screening. However, standard stage-shift models often ignore prognostic subtypes, effectively implying that cancers detected early also have an associated subtype shift. To illustrate the differences between mortality predictions from stage-shift models that ignore versus preserve prognostic subtype, we use ovarian cancer partitioned by histologic subtype and prostate cancer partitioned by grade. We infer general conditions under which stage-shift models that preserve prognostic subtype are likely to predict mortality reductions that differ from those that ignore subtype and examine the implications for short-term endpoints based on stage in cancer screening trials.

Indexed as

Ovarian NeoplasmsProstatic NeoplasmsEarly Detection of CancerFemaleHumansIncidenceMalePrognosis

Identifiers

PMID37259797
PMCPMC10335323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.