Evidence map›Paper›PMID 30845938›Full record

ArticleBMC pulmonary medicine2019

Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols.

Ehab Billatos, Fenghai Duan, Elizabeth Moses, Helga Marques, Irene Mahon, Lindsey Dymond, Charles Apgar, Denise Aberle, George Washko, Avrum Spira and 1 more

2 registry-linked trialsOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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.

NCT01785342 completednot on this map

Detection of Early Lung Cancer Among Military Personnel Study 1 (DECAMP-1): Diagnosis and Surveillance of Indeterminate Pulmonary Nodules

TypeobservationalSponsorBoston UniversityRan2013 to 2022Enrolled489ConditionsLung CancerArmsBiosample and Imaging Collection
NCT02504697 active not recruitingnot on this map

Detection of Early Lung Cancer Among Military Personnel Study 2 (DECAMP-2): Screening of Patients With Early Stage Lung Cancer or at High Risk for Developing Lung Cancer

TypeobservationalSponsorBoston UniversityRan2011 to 2027Enrolled665ConditionsPulmonary DiseaseArmsBiosamples from airway and blood
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Mucus plugs-associated gene expression identifies pathophysiology shared with chronic bronchitis.American journal of respiratory and critical care medicine · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Current Evidence for a Lung Cancer Screening Program.Portuguese journal of public health · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Improving Lung Cancer Diagnosis with CT Radiomics and Serum Histoplasmosis Testing.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies.Cancer biomarkers : section A of Disease markers · 2022
    Article
  20. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.American journal of respiratory and critical care medicine · 2021
    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

11 authors at 3 institutions in 1 country.

Ehab BillatosDivision of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA, 02118, USA. ebillato@bu.edu.ORCID http://orcid.org/0000-0002-6645-1758
Fenghai DuanDepartment of Biostatistics, Brown University, Providence, RI, 02912, USA.
Elizabeth MosesDivision of Computational Biomedicine, Boston University School of Medicine, Boston, MA, 02118, USA.
Helga MarquesDepartment of Biostatistics, Brown University, Providence, RI, 02912, USA.
Irene MahonAmerican College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.
Lindsey DymondAmerican College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.
Charles ApgarAmerican College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.
Denise AberleDepartment of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.
George WashkoDivision of Pulmonary and Critical Care Medicine, Brigham and Women's University, Boston, MA, 02115, USA.
Avrum SpiraDivision of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
DECAMP investigators
Boston University · USAmerican College of Radiology · USBrigham and Women's Hospital · US

Funding

BIOLOGY OF THE LUNG--MULTIDISCIPLINARY PROGRAMT32HL007035 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Darrell N. Kotton, JOSEPH P MIZGERD · 1985 to 2026
$24.3M
Integrated Molecular, Cellular, and Imaging Characterization of Screen-Detected Lung CancerU01CA196408 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ABERLE, DENISE R., DUBINETT, STEVEN M. · 2015 to 2021
$7.1M
NCI NIH HHS U01 CA196408NCI NIH HHS U01CA196408NHLBI NIH HHS T32 HL007035U.S. Department of Defense W81XWH-11-2-0161
6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related death due in large part to our inability to diagnose it at an early and potentially curable stage. Screening for lung cancer via low dose computed tomographic (LDCT) imaging has been demonstrated to improve mortality but also results in a high rate of false positive tests. The identification and application of non-invasive molecular biomarkers that improve the performance of CT imaging for the detection of lung cancer in high risk individuals would aid in clinical decision-making, eliminate the need for unnecessary LDCT follow-up, and further refine the screening criteria for an already large high-risk population.

methodsThe Detection of Early Lung Cancer Among Military Personnel (DECAMP) consortium is conducting two multicenter prospective studies with the goals of developing an integrated panel of both airway and blood-based molecular biomarkers that discriminate benign and malignant indeterminate nodules detected on CT scan as well as predict the future development of lung cancer in high-risk individuals. To achieve these goals, DECAMP is compiling an extensive array of biospecimens including nasal brushings, serum, plasma and intrathoracic airway samples (bronchial brushings and bronchial biopsies) from normal-appearing airway epithelium. DISCUSSION: This bank of samples is the foundation for multiple DECAMP efforts focused on the identification of those at greatest risk of developing lung cancer as well as the discrimination of benign and malignant pulmonary nodules. The clinical, imaging and biospecimen repositories will serve as a resource for the biomedical community and their investigation of the molecular basis of chronic respiratory disease.

trial registrationRetrospectively registered as NCT01785342 - DECAMP-1: Diagnosis and Surveillance of Indeterminate Pulmonary Nodules (DECAMP-1). Date of Registration: February 7, 2013. Retrospectively registered as NCT02504697 - DECAMP-2: Screening of Patients With Early Stage Lung Cancer or at High Risk for Developing Lung Cancer (DECAMP-2). Date of Registration: July 22, 2015.

Indexed as

Military PersonnelAgedBiomarkers, TumorBiopsyEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedMulticenter Studies as TopicMultiple Pulmonary NodulesObservational Studies as TopicProspective StudiesRisk FactorsTomography, X-Ray ComputedBiomarkers, TumorBiomarkerDECAMPGene expressionLung cancer

Identifiers

PMID30845938
PMCPMC6407252
OpenAlexW2925454287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.