Evidence map›Paper›PMID 39552879›Full record

ArticleJournal of thoracic disease2024

Rethinking how mobile units can catalyze progress on lung cancer screening: a scoping review of what we have learned.

Shama D Karanth, Joel Divaker, Marissa Blair, Jhanelle E Gray, Bruno Hochhegger, Erin Kobetz, Tiago Machuca, Mindaugas Rackauskas, Danting Yang, Estelamari Rodriguez and 3 more

Abstract readScoping Review
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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.

Shama D KaranthDivision of Population Health Sciences, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-5371-6908
Joel DivakerDivision of Population Health Sciences, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-7494-3843
Marissa BlairDivision of Population Health Sciences, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.
Jhanelle E GrayThoracic Oncology Program, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.ORCID https://orcid.org/0000-0003-1304-7062
Bruno HochheggerDepartment of Radiology, University of Florida College of Medicine, Gainesville, FL, USA.ORCID https://orcid.org/0000-0003-1984-4636
Erin KobetzDepartment of Public Health Sciences, University of Miami, Leonard M. Miller School of Medicine, Miami, FL, USA.ORCID https://orcid.org/0000-0001-9215-5525
Tiago MachucaDeWitt Daughtry Family Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
Mindaugas RackauskasUniversity of Florida Health Cancer Center, Gainesville, FL, USA.ORCID https://orcid.org/0000-0002-2503-3437
Danting YangDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, FL, USA.
Estelamari RodriguezSylvester Comprehensive Cancer Center, University of Miami, Leonard M. Miller School of Medicine, Miami, FL, USA.ORCID https://orcid.org/0000-0001-8132-4573
Matthew B SchabathDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.ORCID https://orcid.org/0000-0003-3241-3216
Hyung-Suk YoonDivision of Population Health Sciences, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-6368-2684
Dejana BraithwaiteDivision of Population Health Sciences, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-8376-5903

Funding

Personalized screening for lung cancer: the importance of co-existing chronic conditions to clinical practice and policyR01CA249506 · NCI · UNIVERSITY OF FLORIDA · PI BRAITHWAITE, DEJANA K, GOULD, MICHAEL K · 2020 to 2025
$3.3M
NCI NIH HHS R01 CA249506
6 · The paper itself

Abstract

Background: Despite United States Preventive Services Task Force (USPSTF) recommendations, low uptake of lung cancer screening (LCS) highlights the need for measures to promote adoption. This scoping review aims to outline the global landscape of mobile low-dose computed tomography (LDCT) platforms, summarizing research and evaluating efficacy in screening at-risk populations. Methods: We comprehensively searched Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, Embase, Scopus, and Web of Science for articles published between 2017 and 2023. Selected studies focused on mobile LCS programs using LDCT, providing details on program location, design, sample size, age, targeted population, lung cancer detection rate, and outcomes. Only studies meeting these criteria were considered. Results: The search found 12 studies meeting inclusion criteria, documenting ten mobile LDCT platforms across several countries. These studies primarily evaluated platform effectiveness in screening populations at risk, particularly targeting individuals who have ever smoked, high-risk individuals, and underserved populations. Two studies compared outcomes between mobile and hospital-based screening, while 10 other studies reported outcomes from mobile LDCT platforms. In US studies, most participants in mobile LCS programs came from rural areas, were uninsured or under-insured, and included a notable number of racial/ethnic minorities. The frequency of lung cancer diagnoses ranged from 0.33% to 3%, with the majority (80%) of detected at stages I and II. Conclusions: The mobile LDCT platforms emerge as a powerful solution to enhance access to LCS, especially for marginalized populations. By improving screening rates and enabling early detection, these platforms hold promise in narrowing healthcare disparities. Mobile LDCT presents a crucial opportunity to save lives and promote equity in healthcare access.

Indexed as

early detectionLow-dose computed tomography (LDCT)mobile LDCT platforms

Identifiers

PMID39552879
PMCPMC11565335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.