Evidence map›Paper›PMID 28702814›Full record

ArticleCancer causes & control : CCC2017

Evaluating the impact of varied compliance to lung cancer screening recommendations using a microsimulation model.

Summer S Han, S Ayca Erdogan, Iakovos Toumazis, Ann Leung, Sylvia K Plevritis

Open access · greenAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
1.4field-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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. Review
  7. Reducing Stigma in Lung Cancer Screening: Co-Design of a Targeted Resource for Health Professionals in Australia.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dismal adherence to lung cancer screening in a diverse urban population.The Journal of thoracic and cardiovascular surgery · 2025
    Article
  13. Article
  14. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  15. Article
  16. The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Summer S HanQuantitative Sciences Unit, Stanford Center for Biomedical Research (BMIR), Neurosurgery and Medicine, Stanford University School of Medicine, Stanford, CA, USA.
S Ayca ErdoganDepartment of Industrial and Systems Engineering, San Jose State University, San Jose, CA, USA.
Iakovos ToumazisDepartment of Radiology and Biomedical Data Science, Stanford University School of Medicine, 1201 Welch Rd, Stanford, CA, 94305, USA.
Ann LeungDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Sylvia K PlevritisDepartment of Radiology and Biomedical Data Science, Stanford University School of Medicine, 1201 Welch Rd, Stanford, CA, 94305, USA. sylvia.plevritis@stanford.edu.
Stanford University · USSan Jose State University · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
National Cancer Institute (US) U01- CA152956NCI NIH HHS P30 CA124435NCI NIH HHS U01 CA199284
6 · The paper itself

Abstract

backgroundThe US preventive services task force (USPSTF) recently recommended that individuals aged 55-80 with heavy smoking history be annually screened by low-dose computed tomography (LDCT), thereby extending the stopping age from 74 to 80 compared to the national lung screening trial (NLST) entry criterion. This decision was made partly with model-based analyses from cancer intervention and surveillance modeling network (CISNET), which assumed perfect compliance to screening.

methodsAs part of CISNET, we developed a microsimulation model for lung cancer (LC) screening and calibrated and validated it using data from NLST and the prostate, lung, colorectal, and ovarian cancer screening trial (PLCO), respectively. We evaluated population-level outcomes of the lifetime screening program recommended by the USPSTF by varying screening compliance levels.

resultsValidation using PLCO shows that our model reproduces observed PLCO outcomes, predicting 884 LC cases [Expected(E)/Observed(O) = 0.99; CI 0.92-1.06] and 563 LC deaths (E/O = 0.94 CI 0.87-1.03) in the screening arm that has an average compliance rate of 87.9% over four annual screening rounds. We predict that perfect compliance to the USPSTF recommendation saves 501 LC deaths per 100,000 persons in the 1950 U.S. birth cohort; however, assuming that compliance behaviors extrapolated and varied from PLCO reduces the number of LC deaths avoided to 258, 230, and 175 as the average compliance rate over 26 annual screening rounds changes from 100 to 46, 39, and 29%, respectively.

conclusionThe implementation of the USPSTF recommendation is expected to contribute to a reduction in LC deaths, but the magnitude of the reduction will likely be heavily influenced by screening compliance.

Indexed as

Models, TheoreticalPatient ComplianceAdvisory CommitteesAgedAged, 80 and overEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMass ScreeningMiddle AgedSmokingTomography, X-Ray ComputedUnited StatesCISNETCT screeningLung cancerMicrosimulationNLSTPublic health policyUSPSTF

Identifiers

PMID28702814
PMCPMC5880208
OpenAlexW2734702255

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.