Evidence map›Paper›PMID 32889594›Full record

ArticleLung2020

Quantitative Pectoralis Muscle Area is Associated with the Development of Lung Cancer in a Large Lung Cancer Screening Cohort.

Lee Gazourian, Chantal S Durgana, Devon Huntley, Giulia S Rizzo, William B Thedinger, Shawn M Regis, Lori Lyn Price, Elizabeth J Pagura, Carla Lamb, Kimberly Rieger-Christ and 10 more

Abstract read
In one paragraph

Article in Lung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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.

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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

20 authors.

Lee GazourianDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital & Medical Center, Burlington, MA, 01805, USA. Lee.Gazourian@lahey.org.ORCID 0000-0003-2583-8718
Chantal S DurganaTufts University, Medford, USA.
Devon HuntleyTufts University School of Medicine, Boston, USA.
Giulia S RizzoUMass Memorial Medical Center, Worcester, USA.
William B ThedingerTufts University School of Medicine, Boston, USA.
Shawn M RegisDepartment of Radiation Oncology, Lahey Hospital & Medical Center, Burlington, USA.
Lori Lyn PriceTufts Clinical and Translational Science Institute, Tufts University, Boston, USA.
Elizabeth J PaguraDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital & Medical Center, Burlington, MA, 01805, USA.
Carla LambDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital & Medical Center, Burlington, MA, 01805, USA.
Kimberly Rieger-ChristCancer Research, Sophia Gordon Cancer Center, Lahey Hospital & Medical Center, Burlington, USA.
Carey C ThomsonDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mount Auburn Hospital, Cambridge, USA.
Cristina F StefanescuFloating Hospital for Children, Tufts Medical Center, Boston, USA.
Ava SanayeiTufts University School of Medicine, Boston, USA.
William P LongTufts University School of Medicine, Boston, USA.
Andrea B McKeeDepartment of Radiation Oncology, Lahey Hospital & Medical Center, Burlington, USA.
George R WashkoDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, USA.
Raul San José EstéparApplied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, USA.
Christoph WaldDepartment of Radiology, Lahey Hospital & Medical Center, Burlington, USA.
Timothy N LieschingDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital & Medical Center, Burlington, MA, 01805, USA.
Brady J McKeeDepartment of Radiology, Lahey Hospital & Medical Center, Burlington, USA.

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Prognostic Markers of Emphysema ProgressionR01HL149877 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAN JOSE ESTEPAR, RAUL · 2020 to 2023
$2.8M
Airway Inspector: a chest imaging biomarker software platform for COPDR01HL116931 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAN JOSE ESTEPAR, RAUL · 2013 to 2017
$2.2M
NCATS NIH HHS UL1 TR002544NHLBI NIH HHS R01 HL116931NHLBI NIH HHS R01 HL149877
6 · The paper itself

Abstract

backgroundStudies have demonstrated an inverse relationship between body mass index (BMI) and the risk of developing lung cancer. We conducted a retrospective cohort study evaluating baseline quantitative computed tomography (CT) measurements of body composition, specifically muscle and fat area in a large CT lung screening cohort (CTLS). We hypothesized that quantitative measurements of baseline body composition may aid in risk stratification for lung cancer.

methodsPatients who underwent baseline CTLS between January 1st, 2012 and September 30th, 2014 and who had an in-network primary care physician were included. All patients met NCCN Guidelines eligibility criteria for CTLS. Quantitative measurements of pectoralis muscle area (PMA) and subcutaneous fat area (SFA) were performed on a single axial slice of the CT above the aortic arch with the Chest Imaging Platform Workstation software. Cox multivariable proportional hazards model for cancer was adjusted for variables with a univariate p < 0.2. Data were dichotomized by sex and then combined to account for baseline differences between sexes.

resultsOne thousand six hundred and ninety six patients were included in this study. A total of 79 (4.7%) patients developed lung cancer. There was an association between the 25th percentile of PMA and the development of lung cancer [HR 1.71 (1.07, 2.75), p < 0.025] after adjusting for age, BMI, qualitative emphysema, qualitative coronary artery calcification, and baseline Lung-RADS® score.

conclusionsQuantitative assessment of PMA on baseline CTLS was associated with the development of lung cancer. Quantitative PMA has the potential to be incorporated as a variable in future lung cancer risk models.

Indexed as

Early Detection of CancerLungLung NeoplasmsPectoralis MusclesTomography, X-Ray ComputedAge FactorsBody CompositionBody Mass IndexCorrelation of DataFemaleHumansMaleMiddle AgedOrgan SizeReproducibility of ResultsRetrospective StudiesLung cancerLung cancer screeningQuantitive pectoralis muscle area

Identifiers

PMID32889594
PMCPMC8710309

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Registered trials

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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.