Evidence map›Paper›PMID 40561373›Full record

ArticleJCO clinical cancer informatics2025

Using an Integrated, Digital Framework to Standardize and Expand a Multisite Lung Cancer Screening Program.

Maria Katerina C Alfaro, Christine S Shusted, Teresa Giamboy, Gregory C Kane, Nathaniel R Evans, Brooke M Ruane, Eboni Gatson-Anderson, Emily Muse, Mary McMullen, Anne Marie Kinsey and 3 more

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Maria Katerina C AlfaroOffice of Data Science, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.
Christine S ShustedDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0003-4688-9629
Teresa GiamboyDepartment of Medical Oncology, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.
Gregory C KaneDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.
Nathaniel R EvansDivision of Thoracic Surgery, Department of Surgery, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0001-5767-6907
Brooke M RuaneDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0002-3707-9213
Eboni Gatson-AndersonDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0009-0009-7527-7585
Emily MuseDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.
Mary McMullenDepartment of Medical Oncology, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.
Anne Marie KinseyDivision of Thoracic Surgery, Department of Surgery, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.
Sandra MurrayDepartment of Medical Oncology, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.
Christopher McNairOffice of Data Science, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0003-3204-8482
Julie A BartaDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Jane and Leonard Korman Respiratory Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0001-6480-0769

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI Claudio Guillermo Giraudo · 1995 to 2026
$94.8M
NCI NIH HHS P30 CA056036
6 · The paper itself

Abstract

purposeLung cancer screening (LCS) is one of the most potentially impactful interventions of the past two decades for reducing lung cancer mortality. However, no current standard exists in the field for comprehensive data collection and tracking of LCS, despite availability of electronic health records (EHRs) and LCS management tools. In a widely expanding LCS program, harmonization of data becomes critical for decisions surrounding clinical care coordination and operational management.

methodsThis article summarizes the implementation of an integrated, digital framework within the Jefferson Health System using the Epic EHR and its customized SmartForms as well as Research Electronic Data Capture application. Leveraging these tools has allowed for standardized documentation across the LCS process continuum for each patient: LCS eligibility, shared decision making, low-dose computed tomography, and follow-up.

resultsSince the initial rollout in October 2022, 11 program sites across four regional hubs have adopted this framework. A standardized process paired with interoperability between systems has resulted in a centralized data repository, increased communication and transparency within and between program sites, and decreased duplicative or manual processes across the entire LCS program.

conclusionThe resultant digital framework is poised for scale-up and sustainment across the Jefferson Health System, and it can also be replicated across other LCS programs. Future iterations of the current work or adoption by other programs should take into account the complexities of the EHR itself and data provenance to ensure success. Active participation among stakeholders for synchronous coordination of building, implementing, and troubleshooting a comprehensive repository for LCS data can ultimately facilitate measurement of quality metrics and develop future research in early detection of lung cancer.

Indexed as

Early Detection of CancerElectronic Health RecordsLung NeoplasmsMass ScreeningHumansTomography, X-Ray Computed

Identifiers

PMID40561373
PMCPMC12208652

What OpenQuestion holds

Textmetadata
LicenceTDM
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.