Evidence map›Paper›PMID 34624528›Full record

SynthesisJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2022

Patient Adherence to Lung CT Screening Reporting & Data System-Recommended Screening Intervals in the United States: A Systematic Review and Meta-Analysis.

Yannan Lin, Mingzhou Fu, Ruiwen Ding, Kosuke Inoue, Christie Y Jeon, William Hsu, Denise R Aberle, Ashley Elizabeth Prosper

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06473870 (Understanding Lung Cancer Related Risk Factors and Their Impact), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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.

NCT06473870 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Understanding Lung Cancer Related Risk Factors and Their Impact

Typeobservational_patient_registrySponsorBiobizkaia Health Research InstituteRan2024 to 2027Enrolled6,160ConditionsLung Cancer Screening
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Improving lung cancer screening diagnostic efficiency.Current opinion in pulmonary medicine · 2026
    Review
  6. Review
  7. Article
  8. Journal of health communication · 2026
    Article
  9. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Estimating the Effects of Cancer Screening in Clinical Practice Settings: The Role of Selective Uptake and Suboptimal Adherence along the Cancer Screening Continuum.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yannan LinDepartment of Bioengineering, University of California Los Angeles, Los Angeles, California; Medical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California. Electronic address: yannanlin@mednet.ucla.edu.
Mingzhou FuMedical Informatics Home Area, Department of Bioinformatics, University of California Los Angeles, Los Angeles, California.
Ruiwen DingDepartment of Bioengineering, University of California Los Angeles, Los Angeles, California; Medical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California.
Kosuke InoueDepartment of Social Epidemiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Epidemiology, UCLA Fielding School of Public Health, University of California Los Angeles, Los Angeles, California.
Christie Y JeonDepartment of Epidemiology, UCLA Fielding School of Public Health, University of California Los Angeles, Los Angeles, California; Department of Medicine, Samuel Oschin Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.
William HsuDepartment of Bioengineering, University of California Los Angeles, Los Angeles, California; Medical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California.
Denise R AberleDepartment of Bioengineering, University of California Los Angeles, Los Angeles, California; Medical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California.
Ashley Elizabeth ProsperMedical & Imaging Informatics Group, Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California.

Funding

Molecular and Imaging Biomarkers for Early Lung Cancer Detection in the Setting of Indeterminate Pulmonary NodulesR01CA210360 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ABERLE, DENISE R., LENBURG, MARC ELLIOTT · 2016 to 2021
$3.1M
Individually-tailored clinical decision support for management of indeterminate pulmonary nodulesR01CA226079 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ABERLE, DENISE R., BUI, ALEX · 2019 to 2023
$2.3M
NCI NIH HHS R01 CA210360NCI NIH HHS R01 CA226079
6 · The paper itself

Abstract

Lung cancer screening (LCS) is effective in reducing mortality, particularly when patients adhere to follow-up recommendations standardized by the Lung CT Screening Reporting & Data System (Lung-RADS). Nevertheless, patient adherence to recommended intervals varies, potentially diminishing benefit from screening. We conducted a systematic review and meta-analysis of patient adherence to Lung-RADS-recommended screening intervals. We systematically searched MEDLINE, EMBASE, Web of Science, the Cochrane Central Register of Controlled Trials, and major radiology and oncology conference archives between April 28, 2014, and December 17, 2020. Eligible studies mentioned patient adherence to the recommendations of Lung-RADS. The review protocol was registered with PROSPERO (CRD42020189326). We identified 24 eligible studies for qualitative summary, of which 21 were suitable for meta-analysis. The pooled adherence rate was 57% (95% confidence interval: 46%-69%) for defined adherence (e.g., an annual incidence screen was performed within 15 mo) among 6689 patients and 65% (95% confidence interval: 55%-75%) for anytime adherence among 5085 patients. Large heterogeneity in adherence rates between studies was observed (I

Indexed as

Early Detection of CancerLung NeoplasmsHumansLungPatient ComplianceTomography, X-Ray ComputedUnited StatesLung cancer screeningLung-RADS (Lung CT Screening Reporting & Data System)Meta-analysisPatient adherenceSystematic review

Identifiers

PMID34624528
PMCPMC8692358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.