Evidence map›Paper›PMID 32184050›Full record

ArticleClinical lung cancer2020

Tracking the Nonenrolled: Lung Cancer Screening Patterns Among Individuals not Accrued to a Clinical Trial.

David E Gerber, Heidi A Hamann, Claudia Chavez, Olivia Dorsey, Noel O Santini, Travis Browning, Cristhiaan D Ochoa, Joyce Adesina, Vijaya Subbu Natchimuthu, Eric Steen and 2 more

Abstract read
In one paragraph

Article in Clinical lung cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Implementation and Uptake of Rural Lung Cancer Screening.Journal of the American College of Radiology : JACR · 2022
    Article
  5. 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

12 authors.

David E GerberDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address: david.gerber@utsouthwestern.edu.
Heidi A HamannDepartment of Psychology, University of Arizona, Tucson, AZ; Department of Family and Community Medicine, University of Arizona, Tucson, AZ.
Claudia ChavezDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Olivia DorseyDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Noel O SantiniParkland Health and Hospital System, Dallas, TX.
Travis BrowningParkland Health and Hospital System, Dallas, TX; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX.
Cristhiaan D OchoaParkland Health and Hospital System, Dallas, TX; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Joyce AdesinaParkland Health and Hospital System, Dallas, TX.
Vijaya Subbu NatchimuthuParkland Health and Hospital System, Dallas, TX.
Eric SteenParkland Health and Hospital System, Dallas, TX; Division of General Internal Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Hong ZhuDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Simon J Craddock LeeDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
Development of New Cancer Treatments and InvestigatorsK24CA201543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC · 2016 to 2020
$737k
Mechanisms of Endothelial Autophagy in Lung Tumor AngiogenesisK01CA234425 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI OCHOA ARENAS, CRISTHIAAN D. · 2018 to 2019
$281k
AHRQ HHS R24 HS022418NCI NIH HHS K01 CA234425NCI NIH HHS K24 CA201543NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

introductionFor lung cancer screening, the available data are often derived from patients enrolled prospectively in clinical trials. We, therefore, investigated lung cancer screening patterns among individuals eligible for, but not enrolled in, a screening trial. PATIENTS AND

methodsFrom February 2017 through February 2019, we enrolled subjects in a trial examining telephone-based navigation during low-dose computed tomography (LDCT) for lung cancer screening. We identified patients for whom LDCT was ordered and who were approached, but not enrolled, in the trial. We categorized nonenrollment as the patient had declined or could not be reached. We compared the characteristics and LDCT completion rates among these groups and the enrolled population using the 2-sample t test and χ

resultsOf 900 individuals approached for participation (mean age, 62 years; 45% women, 53% black), 447 were enrolled in the screening clinical trial. No significant demographic differences were found between the enrolled and nonenrolled cohorts. Of the 453 individuals not enrolled, 251 (55%) had declined participation and 202 (45%) could not be reached, despite up to 6 attempts. LDCT completion was significantly associated with enrollment status: 81% of enrolled individuals, 73% of individuals who declined participation, and 49% of those who could not be reached (P < .001).

conclusionsIn the present single-center study, demographic factors did not predict for participation in a lung cancer screening trial. Lung cancer screening adherence rates were substantially lower for those not enrolled in a screening trial, especially for those who could not be contacted. These findings may inform the broader implementation of screening programs.

Indexed as

Patient SelectionClinical Trials as TopicEarly Detection of CancerFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPractice Guidelines as TopicPrognosisProspective StudiesRisk FactorsTomography, X-Ray ComputedAdherenceCommunicationComputed tomographyDemographicsUnderserved

Identifiers

PMID32184050
PMCPMC7305960

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.