Evidence map›Paper›PMID 24322569›Full record

Trial reportJAMA internal medicine2014

Overdiagnosis in low-dose computed tomography screening for lung cancer.

Edward F Patz, Paul Pinsky, Constantine Gatsonis, Jorean D Sicks, Barnett S Kramer, Martin C Tammemägi, Caroline Chiles, William C Black, Denise R Aberle, NLST Overdiagnosis Manuscript Writing Team

Erratum issued Registry-linked trialOpen access · greenAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA internal medicine, 2014. 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 NCT05557487 (Taiwan Real-world Low-dose Computed Tomography Screening behavIor and Outcome Research for High Risk Subjects Based on Health Promotion Administration-part A), which is not on this map. Cited by 368 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
368citing papers in PubMed, 9 pooled it
64.5field-weighted citation impact, top 1% 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.

NCT05557487 recruitingnot on this mapstarted 2022, after this paper: background citation

Taiwan Real-world Low-dose Computed Tomography Screening behavIor and Outcome Research for High Risk Subjects Based on Health Promotion Administration-part A: Questionnaire Survey -Part B: LDCT Screening Outcome and Management

TypeobservationalSponsorGee-Chen ChangRan2022 to 2028Enrolled6,618ConditionsLung Cancer, High-Risk Cancer, Smoking, PollutionArmsLow dose computed tomography
3 · Its place in the literature

Who cites it

368 citing papers in PubMed, 9 syntheses or guidelines pooled it, 778 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Lung Cancer Screening With Low-Dose Computed Tomography.Deutsches Arzteblatt international · 2023
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Guideline
  7. Guideline
  8. Pooled it
  9. Lung Cancer Screening with Low-Dose CT: a Meta-Analysis.Journal of general internal medicine · 2020
    Pooled it
  10. Trial
  11. Lung Cancer Incidence and Mortality with Extended Follow-up in the National Lung Screening Trial.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2019
    Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Noninvasive Circulating Tumor DNA Methylation Classifier to Identify Benign Pulmonary Nodules.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  17. Article
  18. Article
  19. Review
  20. Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2026
    Review

308 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 2 countries.

Edward F PatzDepartment of Radiology, Duke University Medical Center, Durham, North Carolina2Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina.
Paul PinskyDivision of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
Constantine GatsonisCenter for Statistical Sciences, Brown School of Public Health, Providence, Rhode Island5Department of Biostatistics, Brown School of Public Health, Providence, Rhode Island.
Jorean D SicksCenter for Statistical Sciences, Brown School of Public Health, Providence, Rhode Island.
Barnett S KramerDivision of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
Martin C TammemägiDepartment of Community Health Sciences, Brock University, St Catharines, Ontario, Canada.
Caroline ChilesDepartment of Radiology, Wake Forest University Health Sciences Center, Winston-Salem, North Carolina.
William C BlackDepartment of Radiology, Dartmouth Medical School, Hanover, New Hampshire9Department of Community and Family Medicine, Dartmouth Medical School, Hanover, New Hampshire.
Denise R AberleDepartment of Radiology, University of California, Los Angeles.
NLST Overdiagnosis Manuscript Writing Team
National Cancer Institute · USBrock University · CABrown University · USDartmouth College · USDuke Medical Center · USProvidence College · USUniversity of California, Los Angeles · USWake Forest University · US

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
PROSTATE, LUNG, COLORECTAL, &OVARIAN CANCER SCREENINGN01CN025476 · CN · WESTAT, INC. · PI O'BRIEN, BARBARA B · 1992 to 2000
$7.9M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025512 · CN · HENRY FORD HEALTH SYSTEM · PI DEMERS, RAYMOND Y · 1992 to 2001
$2.0M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN075022 · CN · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N. · 1997 to 2001
$1.6M
PROSTATE, LUNG, COLORECTAL &OVARIAN (PLCO) CANCERN01CN025516 · CN · WASHINGTON UNIVERSITY · PI ANDRIOLE, GERALD LOUIS · 1992 to 2001
$1.5M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025524 · CN · UNIVERSITY OF UTAH · PI BUYS, SAUNDRA S · 1992 to 2000
$1.5M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025514 · CN · UNIVERSITY OF COLORADO DENVER · PI CRAWFORD, E DAVID · 1992 to 2000
$1.3M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025515 · CN · PACIFIC HEALTH RESEARCH INSTITUTE · PI YOKOCHI, LANCE L · 1992 to 2000
$1.2M
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025511 · CN · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEISSFELD, JOEL L · 1992 to 2000
$1.2M
PROSTATE, LUNG, COLORECTAL &OVARIAN CANCERN01CN025522 · CN · GEORGETOWN UNIVERSITY · PI GELMANN, EDWARD P · 1992 to 2000
$817k
PROSTATE, LUNG, COLORECTAL AND OVARIAN (PLCO) CANCERN01CN025513 · CN · UNIVERSITY OF MINNESOTA TWIN CITIES · PI CHURCH, TIMOTHY ROBERT · 1992 to 2001
$409k
NCI NIH HHS N01 CN025476NCI NIH HHS N01 CN025511NCI NIH HHS N01 CN025512NCI NIH HHS N01 CN025513NCI NIH HHS N01 CN025514NCI NIH HHS N01 CN025515NCI NIH HHS N01 CN025516NCI NIH HHS N01 CN025518NCI NIH HHS N01 CN025522NCI NIH HHS N01 CN025524NCI NIH HHS N01 CN075022NCI NIH HHS N01-CN-25476NCI NIH HHS N01-CN-25511NCI NIH HHS N01-CN-25512NCI NIH HHS N01-CN-25513NCI NIH HHS N01-CN-25514NCI NIH HHS N01-CN-25515NCI NIH HHS N01-CN-25516NCI NIH HHS N01-CN-25518NCI NIH HHS N01-CN-25522NCI NIH HHS N01-CN-25524NCI NIH HHS N01-CN-75022NCI NIH HHS N02 CN063300NCI NIH HHS N02-CN-63300NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098
6 · The paper itself

Abstract

importanceScreening for lung cancer has the potential to reduce mortality, but in addition to detecting aggressive tumors, screening will also detect indolent tumors that otherwise may not cause clinical symptoms. These overdiagnosis cases represent an important potential harm of screening because they incur additional cost, anxiety, and morbidity associated with cancer treatment.

objectiveTo estimate overdiagnosis in the National Lung Screening Trial (NLST). DESIGN, SETTING, AND

participantsWe used data from the NLST, a randomized trial comparing screening using low-dose computed tomography (LDCT) vs chest radiography (CXR) among 53 452 persons at high risk for lung cancer observed for 6.4 years, to estimate the excess number of lung cancers in the LDCT arm of the NLST compared with the CXR arm. MAIN OUTCOMES AND MEASURES: We calculated 2 measures of overdiagnosis: the probability that a lung cancer detected by screening with LDCT is an overdiagnosis (PS), defined as the excess lung cancers detected by LDCT divided by all lung cancers detected by screening in the LDCT arm; and the number of cases that were considered overdiagnosis relative to the number of persons needed to screen to prevent 1 death from lung cancer.

resultsDuring follow-up, 1089 lung cancers were reported in the LDCT arm and 969 in the CXR arm of the NLST. The probability is 18.5% (95% CI, 5.4%-30.6%) that any lung cancer detected by screening with LDCT was an overdiagnosis, 22.5% (95% CI, 9.7%-34.3%) that a non-small cell lung cancer detected by LDCT was an overdiagnosis, and 78.9% (95% CI, 62.2%-93.5%) that a bronchioalveolar lung cancer detected by LDCT was an overdiagnosis. The number of cases of overdiagnosis found among the 320 participants who would need to be screened in the NLST to prevent 1 death from lung cancer was 1.38. CONCLUSIONS AND RELEVANCE: More than 18% of all lung cancers detected by LDCT in the NLST seem to be indolent, and overdiagnosis should be considered when describing the risks of LDCT screening for lung cancer.

Indexed as

Diagnostic ErrorsAgedCarcinoma, Non-Small-Cell LungDiagnosis, DifferentialDose-Response Relationship, RadiationFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMass ScreeningMiddle AgedProbabilityProspective StudiesReproducibility of ResultsSurvival Rate

Identifiers

PMID24322569
PMCPMC4040004
OpenAlexW2107692993

What OpenQuestion holds

Textmetadata
LicenceTDM
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.