Evidence map›Paper›PMID 21119104›Full record

Trial reportJournal of the National Cancer Institute2010

Baseline characteristics of participants in the randomized national lung screening trial.

National Lung Screening Trial Research Team, Denise R Aberle, Amanda M Adams, Christine D Berg, Jonathan D Clapp, Kathy L Clingan, Ilana F Gareen, David A Lynch, Pamela M Marcus, Paul F Pinsky

Erratum issued Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of the National Cancer Institute, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT00047385 (National Lung Screening Trial A Randomized Trial Comparing Low-dose Helical CT With Chest Xray for Lung Cancer), which is not on this map. Cited by 155 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 10 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.

NCT00047385 phase3completednot on this map

National Lung Screening Trial A Randomized Trial Comparing Low-dose Helical CT With Chest Xray for Lung Cancer

TypeinterventionalSponsorNational Cancer Institute (NCI)Ran2002 to 2010Enrolled53,454ConditionsLung CancerArmslow-dose helical computed tomography, chest radiography
3 · Its place in the literature

Who cites it

155 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Patient-centered outcomes among lung cancer screening recipients with computed tomography: a systematic review.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2014
    Pooled it
  8. Guideline
  9. Guideline
  10. Pooled it
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  13. Effect of Patient Navigation on Completion of Lung Cancer Screening in Vulnerable Populations.Journal of the National Comprehensive Cancer Network : JNCCN · 2024
    Trial
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  17. Aiding shared decision making in lung cancer screening: two decision tools.Journal of public health (Oxford, England) · 2021
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95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors.

National Lung Screening Trial Research TeamDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Denise R Aberle
Amanda M Adams
Christine D Berg
Jonathan D Clapp
Kathy L Clingan
Ilana F Gareen
David A Lynch
Pamela M Marcus
Paul F Pinsky

Funding

ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
Biostatistics Data Management Center for ACRINU10CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 2013 to 2013
$2.4M
NCI NIH HHS CA79778NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U01 CA80098NCI NIH HHS U10 CA079778
6 · The paper itself

Abstract

backgroundThe National Lung Screening Trial (NLST), a randomized study conducted at 33 US sites, is comparing lung cancer mortality among persons screened with reduced dose helical computerized tomography and among persons screened with chest radiograph. In this article, we present characteristics of the study population.

methodsEligible participants were aged 55-74 years and were current or former smokers with a cigarette smoking history of at least 30 pack-years. Randomization was stratified by site, sex, and age. To assess representativeness of the study population, demographic characteristics of individuals from the general population who met NLST age and smoking history inclusion criteria were obtained from the Tobacco Use Supplement of the US Census Bureau Current Population Surveys.

resultsThe NLST enrolled 53 456 persons, with 26 733 randomly assigned to chest radiograph screening and 26 723 to computerized tomography screening. Characteristics of the participants were as follows: 31 533 (59%) were men, 39 234 (73%) were younger than 65 years, 25 779 (48%) were current smokers, and 16 839 (32%) had a college or higher degree. Median cigarette exposure was 48 pack-years. Among Tobacco Use Supplement respondents who met NLST age and smoking history criteria, 59% were men, 65% were younger than 65 years, and 57% were current smokers. Median cigarette exposure among this group was 47 pack-years, and 14% had a college degree or higher.

conclusionThe NLST cohort has a distribution of sex and pack-year history that is similar to the component of the general US population that meets the major NLST eligibility criteria; however, NLST participants are younger, better educated, and less likely to be current smokers.

Indexed as

AgedAge DistributionCohort StudiesFemaleHumansLung NeoplasmsMaleMass Chest X-RayMass ScreeningMiddle AgedMinority GroupsOccupational ExposureRisk FactorsSex DistributionSmokingSurveys and Questionnaires

Identifiers

PMID21119104
PMCPMC2994863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.