Evidence map›Paper›PMID 30511179›Full record

ArticleEuropean radiology2019

CT screening for lung cancer: comparison of three baseline screening protocols.

Claudia I Henschke, Rowena Yip, Teng Ma, Samuel M Aguayo, Javier Zulueta, David F Yankelevitz, Writing Committee for the I-ELCAP Investigators

Erratum issuedAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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  6. How will lung cancer screening and lung nodule management change the diagnostic and surgical lung cancer landscape?European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  7. [Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Claudia I HenschkeIcahn School of Medicine at Mount Sinai, New York, NY, USA. Claudia.Henschke@mountsinai.org.ORCID http://orcid.org/0000-0002-6085-5305
Rowena YipIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Teng MaIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Samuel M AguayoPhoenix Veterans Affairs Health Care System, Phoenix, AZ, USA.
Javier ZuluetaClinica Universidad de Navarra, University of Navarra School of Medicine, Pamplona, Navarra, Spain.
David F YankelevitzIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Writing Committee for the I-ELCAP Investigators
Icahn School of Medicine at Mount Sinai · USPhoenix VA Health Care System · USBeijing Tongren Hospital · CNClinica Universidad de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinical management decisions arising from the baseline round for lung cancer screening are the most challenging, as findings have accumulated over a lifetime and may be of no clinical concern. To minimize unnecessary harms and costs of workup prior to the first, annual repeat screening, workup should be limited to participants with the highest suspicion of lung cancer while still aiming to identify small, early lung cancers.

methodsWe compared recommendations for immediate, delayed (by 3 or 6 months) workup to assess growth at a malignant rate, and the resulting overall and potential biopsies of three baseline screening protocols: I-ELCAP, the two scenarios of ACR-LungRADS, and the European Consortium. For each protocol, the efficiency ratio (ER) of each recommendation was calculated by dividing the number of participants recommended for that workup by the number of resulting lung cancer diagnoses. The ER for potential biopsies was calculated, assuming that biopsies were performed on all participants recommended for immediate workup as well as those diagnosed with lung cancer after delayed workup.

resultsFor I-ELCAP, ACR-LungRADS Scenario 1, ACR-LungRADS Scenario 2, and the European consortium, the overall ER was 13.9, 18.3, 18.3, and 31.9, respectively, and for potential biopsies, it was 2.2, 8.1, 3.2, and 4.4, respectively. ER for immediate workup was 2.9, 8.6, 3.9, and 5.6, respectively, and for delayed workup was 36.1, 160.3, 57.8, and 111.9, respectively.

conclusionsI-ELCAP recommendations had the lowest ER values for overall, immediate, and delayed workup, and for potential biopsies. KEY POINTS: • Small differences in protocol thresholds can lead to many unnecessary diagnostic workups. • I-ELCAP recommendations were the most efficient for immediate and overall workup, and potential biopsies. • Definition of a "positive result" and recommendations for further workup in the baseline round needs to be continually reevaluated and updated.

Indexed as

AlgorithmsAgedEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMass ScreeningMiddle AgedTomography, X-Ray ComputedCancer screeningClinical protocolsLung neoplasmsSpiral computedTomography

Identifiers

PMID30511179
OpenAlexW2903160853

What OpenQuestion holds

Textmetadata
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.