Evidence map›Paper›PMID 41022445›Full record

ArticleBMJ open2025

Protocol for an observational cohort study integrating real-world data and microsimulation to assess imaging surveillance strategies in stage I-IIIA NSCLC patients in OneFlorida.

Dejana Braithwaite, Shama D Karanth, Jiang Bian, Rafael Meza, Jihyoun Jeon, Martin Tammemagi, Meghann Wheeler, Pianpian Cao, Mindaugas Rackauskas, Pratibha Shrestha and 12 more

Abstract read
In one paragraph

Article in BMJ open, 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

22 authors.

Dejana BraithwaiteDepartment of Surgery, University of Florida, Gainesville, Florida, USA dbraithwaite@ufl.edu.ORCID http://orcid.org/0000-0001-8376-5903
Shama D KaranthDepartment of Surgery, University of Florida, Gainesville, Florida, USA.ORCID http://orcid.org/0000-0001-5371-6908
Jiang BianRegenstrief Institute Inc, Indianapolis, Indiana, USA.ORCID http://orcid.org/0000-0002-2238-5429
Rafael MezaUniversity of British Columbia, Vancouver, British Columbia, Canada.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
Martin TammemagiOntario Health, Toronto, Ontario, Canada.
Meghann WheelerDepartment of Epidemiology, University of Florida, Gainesville, Florida, USA.ORCID http://orcid.org/0000-0003-2658-7738
Pianpian CaoDepartment of Public Health, Purdue University College of Health and Human Services, West Lafayette, Indiana, USA.
Mindaugas RackauskasDepartment of Surgery, University of Florida College of Medicine, Gainesville, Florida, USA.
Pratibha ShresthaDepartment of Surgery, University of Florida, Gainesville, Florida, USA.
Hyung-Suk Alex YoonDepartment of Surgery, University of Florida, Gainesville, Florida, USA.
Andrea Borondy KittsRescue Lung Society, Jupiter, Florida, USA.
Himanshi VermaDepartment of Surgery, University of Florida, Gainesville, Florida, USA.
Marissa Carmella BlairDepartment of Surgery, University of Florida, Gainesville, Florida, USA.
Aokun ChenDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
Devika DasDepartment of Medicine, University of Florida College of Medicine, Gainesville, Florida, USA.
Xiangyang LouDepartment of Biostatistics, University of Florida College of Medicine and College of Public Health and Health Professions, Gainesville, Florida, USA.
Yonghui WuDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
Summer HanStanford University School of Medicine, Stanford, California, USA.
Bruno HochheggerDepartment of Radiology, University of Florida College of Medicine, Gainesville, Florida, USA.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.ORCID http://orcid.org/0000-0003-0587-4105
M K GouldDepartment of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California, USA.

Funding

Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2)R01CA284646 · NCI · UNIVERSITY OF FLORIDA · PI Dejana K Braithwaite, Michael K Gould · 2023 to 2026
$2.1M
NCI NIH HHS R01 CA284646
6 · The paper itself

Abstract

introductionAlthough lung cancer remains the leading cause of cancer deaths in the US, recent advances in early detection and treatment have led to improvements in survival. However, there is a considerable risk of recurrence or second primary lung cancer (SPLC) following curative-intent treatment in patients with early-stage non-small cell lung cancer (NSCLC). Professional societies recommend routine surveillance with CT to optimise the detection of potential recurrence and SPLC at a localised stage. However, no definitive evidence demonstrates the effect of imaging surveillance on survival in patients with NSCLC. To close these research gaps, the Advancing Precision Lung Cancer Surveillance and Outcomes in Diverse Populations (PLuS2) study will leverage real-world electronic health records (EHRs) data to evaluate surveillance outcomes among patients with and without guideline-adherent surveillance. The overarching goal of the PLuS2 study is to assess the long-term effectiveness of surveillance strategies in real-world settings. METHODS AND ANALYSIS: PLuS2 is an observational study designed to assemble a cohort of patients with incident pathologically confirmed stage I/II/IIIA NSCLC who have completed curative-intent therapy. Patients undergoing imaging surveillance will be followed from 2012 to 2026 by linking EHRs with tumour registry data in the OneFlorida+ Clinical Research Consortium. Data will be consolidated into a unified repository to achieve three primary aims: (1) Examine the utilisation and determinants of CT imaging surveillance by race/ethnicity and socioeconomic status, (2) Compare clinical endpoints, including recurrence, SPLCs and survival of patients who undergo semiannual versus annual CT imaging and (3) Use the observational data in conjunction with validated microsimulation models to simulate imaging surveillance outcomes within the US population. To our knowledge, this study represents the first attempt to integrate real-world data and microsimulation models to assess the long-term impact and effectiveness of imaging surveillance strategies. ETHICS AND DISSEMINATION: This study involves human participants and was approved by the University of Florida Institutional Review Board (IRB), University of Florida IRB 01, under approval number IRB202300782. The results will be disseminated through publications and presentations at national and international conferences. Safety considerations encompass ensuring the confidentiality of patient information. All disseminated data will be de-identified and summarised.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplasm Recurrence, LocalTomography, X-Ray ComputedCohort StudiesElectronic Health RecordsHumansNeoplasm StagingObservational Studies as TopicResearch DesignChest imagingComputed tomographyElectronic Health RecordsLung NeoplasmsNatural Language Processing

Identifiers

PMID41022445
PMCPMC12481385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.