Evidence map›Paper›PMID 41338715›Full record

ArticleJournal of the American College of Radiology : JACR2025

A Vision Toward Risk-Stratified Postoperative Surveillance for Lung Cancer: Harnessing CT and AI.

Lori C Sakoda, Florian J Fintelmann, Louise M Henderson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2025. 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.

Lori C SakodaResearch Scientist, Division of Research, Kaiser Permanente Northern California, Pleasanton, California, and an Associate Professor, Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California. Electronic address: lori.sakoda@kp.org.
Florian J FintelmannPhysician-Scientist, Thoracic Imaging & Intervention, Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Boston, Massachusetts; Officer, Radiology Visiting Research Fellowships; Head, Thoracic Imaging Percutaneous Thermal Ablation; Associate Professor of Radiology, Harvard Medical School; ACR Lung Cancer Screening Registry Research Subcommittee.
Louise M HendersonDepartment of Radiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina; Co-Lead, Cancer Epidemiology Program, Lineberger Comprehensive Cancer Center, UNC; Co-Director, Carolina Cancer Screening Initiative, Lineberger Comprehensive Cancer Center, UNC.

Funding

OPTimizing surveillance in lung cancer survivors with novel IMAging biomarkers and deep-Learning (OPTIMAL)R01CA298002 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Florian J. Fintelmann, Louise Henderson · 2025 to 2026
$1.9M
NCI NIH HHS R01 CA298002
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41338715
PMCPMC12694967

What OpenQuestion holds

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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.