Evidence map›Paper›PMID 32893112›Full record

ArticleAcademic radiology2022

Factors Influencing the False Positive Rate in CT Lung Cancer Screening.

Mark M Hammer, Suzanne C Byrne, Chung Yin Kong

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

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  15. 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
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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

3 authors at 2 institutions in 1 country.

Mark M HammerDepartment of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115; Harvard Medical School, 25 Shattuck St, Boston, MA 02115. Electronic address: markmhammer@gmail.com.
Suzanne C ByrneDepartment of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115; Harvard Medical School, 25 Shattuck St, Boston, MA 02115.
Chung Yin KongHarvard Medical School, 25 Shattuck St, Boston, MA 02115.
Brigham and Women's Hospital · USHarvard University · US

Funding

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
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
Optimizing Lung Cancer Screening Nodule EvaluationR01CA260889 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KONG, CHUNG YIN, SIGEL, KEITH MAGNUS · 2021 to 2025
$3.5M
NCI NIH HHS R01 CA260889NCI NIH HHS U01 CA199284NCI NIH HHS U01 CA253858
6 · The paper itself

Abstract

purposeTo identify factors influencing the likelihood of a false positive lung cancer screening (LCS) computed tomography (CT), which may lead to increased costs and patient anxiety. MATERIALS AND

methodsIn this retrospective study, we examined all LCS CTs performed across our healthcare network from 2014 to 2018, recording Lung-RADS category and diagnosis of lung cancer. A false positive was defined by Lung-RADS 3-4X and no diagnosis of lung cancer within 1 year. Patient demographics and smoking history, presence of emphysema, diagnosis of chronic obstructive pulmonary disease, radiologist years of experience and annual volume, income level by patient zip code, and screening institution were evaluated in a multivariate logistic regression model for false positive exams.

resultsA total of 5835 LCS CTs were included from 3735 patients. Lung cancer was diagnosed in 142 cases (2%). Of the LCS CTs, 905 (16%) were positive by Lung-RADS, and 766 (13%) represented false positives. Logistic regression analysis showed that screening institution (odds ratios [OR] 0.91 - 2.43), baseline scan (OR 1.43), radiologist experience (OR 0.59), patient age (OR 2.08), diagnosis of chronic obstructive pulmonary disease (OR 1.34), presence of emphysema (OR 1.32), and income level (OR 0.43) were significant predictors of false positives.

conclusionA number of patient-specific and site/radiologist-specific factors influence the false positive rate in CT LCS. In particular, radiologists with less experience had a higher false positive rate. Screening programs may wish to develop quality assurance programs to compare the false positive rates of their radiologists to national benchmarks.

Indexed as

Early Detection of CancerLung NeoplasmsHumansLungMass ScreeningRetrospective StudiesTomography, X-Ray Computedfalse positiveLung cancer screeningLung-RADSradiologist experience

Identifiers

PMID32893112
PMCPMC9219003
OpenAlexW3082993283

What OpenQuestion holds

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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.