Evidence map›Paper›PMID 36191633›Full record

ArticleChest2023

Patient and Nodule Characteristics Associated With a Lung Cancer Diagnosis Among Individuals With Incidentally Detected Lung Nodules.

Farhood Farjah, Sarah E Monsell, Robert T Greenlee, Michael K Gould, Rebecca Smith-Bindman, Matthew P Banegas, Kurt Schoen, Arvind Ramaprasan, Diana S M Buist

Open access · greenAbstract read
In one paragraph

Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Farhood FarjahDepartment of Surgery, University of Washington, Seattle, WA. Electronic address: ffarjah@uw.edu.
Sarah E MonsellDepartment of Biostatistics, University of Washington, Seattle, WA.
Robert T GreenleeMarshfield Clinic Research Institute, Marshfield, WI.
Michael K GouldDepartment of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.
Rebecca Smith-BindmanDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
Matthew P BanegasDepartment of Radiation Medicine and Applied Sciences, University of San Diego, San Diego, CA.
Kurt SchoenMarshfield Clinic Research Institute, Marshfield, WI.
Arvind RamaprasanKaiser Permanente Washington Health Research Institute, Seattle, WA.
Diana S M BuistKaiser Permanente Washington Health Research Institute, Seattle, WA.
Kaiser Permanente Washington Health Research Institute · USMarshfield Clinic · USUniversity of Washington · USKaiser Permanente · USUniversity of California, San Francisco · USUniversity of San Diego · US

Funding

The Effectiveness, Safety, and Costs of Guideline-Concordant Lung Nodule CareR01CA207375 · NCI · UNIVERSITY OF WASHINGTON · PI FARJAH, FARHOOD · 2017 to 2020
$1.9M
NCI NIH HHS R01 CA207375
6 · The paper itself

Abstract

backgroundPulmonary nodules are a common incidental finding on CT imaging. Few studies have described patient and nodule characteristics associated with a lung cancer diagnosis using a population-based cohort. RESEARCH QUESTION: Does a relationship exist between patient and nodule characteristics and lung cancer among individuals with incidentally detected pulmonary nodules, and can this information be used to create exploratory lung cancer prediction models with reasonable performance characteristics? STUDY DESIGN AND

methodsWe conducted a retrospective cohort study of adults older than 18 years with lung nodules of any size incidentally detected by chest CT imaging between 2005 and 2015. All patients had at least 2 years of complete follow-up. To evaluate the relationship between patient and nodule characteristics and lung cancer, we used binomial regression. We used logistic regression to create prediction models, and we internally validated model performance using bootstrap optimism correction.

resultsAmong 7,240 patients with a median age of 67 years, 56% of whom were women, with a median BMI of 28 kg/m

interpretationLung cancer is uncommon among individuals with incidentally detected lung nodules. Some, but not all, previously identified factors associated with lung cancer also were associated with this outcome in this sample. These findings may have implications for clinical practice, future practice guidelines, and the development of novel lung cancer prediction models for individuals with incidentally detected lung nodules.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleAdultAgedFemaleHumansLungMaleRetrospective Studiesimagingincidental findingslung cancerlung nodule

Identifiers

PMID36191633
PMCPMC10154904
OpenAlexW4298150027

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.