Evidence map›Paper›PMID 36707314›Full record

ArticleAmerican journal of preventive medicine2023

Percentage Up to Date With Chest Computed Tomography Among Those Eligible for Lung Cancer Screening.

Andrea N Burnett-Hartman, Nikki M Carroll, Jennifer M Croswell, Robert T Greenlee, Stacey A Honda, Christine M Neslund-Dudas, Roger Y Kim, Katharine A Rendle, Anil Vachani, Debra P Ritzwoller

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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.

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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Improving lung cancer screening diagnostic efficiency.Current opinion in pulmonary medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. University of Pennsylvania Telehealth Research Center of Excellence.Journal of the National Cancer Institute. Monographs · 2024
    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

10 authors at 5 institutions in 1 country.

Andrea N Burnett-HartmanInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado. Electronic address: Andrea.N.Burnett-Hartman@kp.org.
Nikki M CarrollInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado.
Jennifer M CroswellDivision of Cancer Control and Population Sciences, National Cancer Institute, NIH, Bethesda, Maryland.
Robert T GreenleeMarshfield Clinic Research Institute, Marshfield, Wisconsin.
Stacey A HondaCenter for Integrated Healthcare Research, Kaiser Permanente Hawaii, Oahu, Hawaii; Hawaii Permanente Medical Group, Oahu, Hawaii.
Christine M Neslund-DudasHenry Ford Cancer Institute, Henry Ford Health System, Detroit, Michigan.
Roger Y KimPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Katharine A RendlePerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Anil VachaniPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Debra P RitzwollerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado.
Kaiser Permanente · USUniversity of Pennsylvania · USHenry Ford Health System · USMarshfield Clinic · USNational Cancer Institute · US

Funding

Center for Research to Optimize Precision Lung Cancer Screening in Diverse PopulationsUM1CA221939 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI RITZWOLLER, DEBRA P, VACHANI, ANIL · 2018 to 2023
$15.3M
Natural History of Lung Cancer Diagnosed Within and Across Diverse Health Systems Implementing Lung Cancer ScreeningR50CA251966 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CARROLL, NIKKI · 2020 to 2024
$751k
NCI NIH HHS R50 CA251966NCI NIH HHS UM1 CA221939
6 · The paper itself

Abstract

introductionAuthors aimed to calculate the percentage up-to-date with testing in the context of lung cancer screening across 5 healthcare systems and evaluate differences according to patient and health system characteristics.

methodsLung cancer screening‒eligible individuals receiving care within the five systems in the Population-based Research to Optimize the Screening Process Lung consortium from October 1, 2018 to September 30, 2019 were included in analyses. Data collection was completed on June 15, 2021; final analyses were completed on April 1, 2022. Chest computed tomography scans and patient characteristics were obtained through electronic health records and used to calculate the percentage completing a chest computed tomography scan in the previous 12 months (considered up-to-date). The association of patient and healthcare system factors with being up-to-date was evaluated with adjusted prevalence ratios and 95% CIs using log-binomial regression models.

resultsThere were 29,417 individuals eligible for lung cancer screening as of September 30, 2019; 8,333 (28.3%) were up-to-date with testing. Those aged 65-74 years (prevalence ratio=1.19; CI=1.15, 1.24, versus ages 55-64), those with chronic obstructive pulmonary disease (prevalence ratio=2.05; CI=1.98, 2.13), and those in higher SES census tracts (prevalence ratio=1.22; CI=1.16, 1.30, highest quintile versus lowest) were more likely to be up-to-date. Currently smoking (prevalence ratio=0.91; CI=0.88, 0.95), having a BMI ≥30 kg/m

conclusionsThe percentage up-to-date with testing among those eligible for lung cancer screening is well below up-to-date estimates for other types of cancer screening, and disparities in lung cancer screening participation remain.

Indexed as

Lung NeoplasmsPulmonary Disease, Chronic ObstructiveEarly Detection of CancerHumansMass ScreeningSmokingTomography, X-Ray Computed

Identifiers

PMID36707314
PMCPMC10293017
OpenAlexW4318017327

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.