Literature DB >> 36178692

Eligibility for Lung Cancer Screening Among Women Receiving Screening for Breast Cancer.

Ashley L Titan1, Ioana Baiu1,2, Doug Liou2, Natalie S Lui2, Mark Berry2, Joseph Shrager2, Leah Backhus3.   

Abstract

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Year:  2022        PMID: 36178692      PMCID: PMC9526079          DOI: 10.1001/jamanetworkopen.2022.33840

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


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Introduction

The US Preventive Services Task Force (USPSTF) recommends mammography for breast cancer screening (BCS) annually for women older than 40 years with a family history and biennially for women aged 50 to 74 years.[1] More than 70% of eligible women undergo BCS.[2] Meanwhile, the screening rate for lung cancer, the leading cause of cancer-related death, is comparatively low among eligible women.[3] Annual lung cancer screening (LCS) recommendations were updated in 2021 to include high-risk individuals aged 50 to 80 years with a smoking history of at least 20 pack-years, those who currently smoke, and those who have quit within the past 15 years.[3] These criteria were largely based on the National Lung Screening Trial results, which demonstrated a 20% reduction in mortality from lung cancer (LC) among high-risk women who underwent low-dose computed tomography compared to chest radiography.[4] In a recent survey, one-half of primary care physicians (PCPs) were not familiar with USPSTF recommendations.[5] Apart from the lack of education and awareness regarding LCS, screening barriers, such as nihilism among clinicians and anxiety over a potential diagnosis among women remain pervasive.[6] Screening for LC remains underused in women. The aim of this study was to assess the number of with a smoking history who underwent BCS women at a single academic medical center and were also eligible for LCS.

Methods

This retrospective, single-center cohort study included women aged 55-74 years who underwent BCS at Stanford University Hospital between January 2019 and June 2020 and had a smoking history. This study followed the STROBE reporting guideline and was approved by the Stanford University Institutional Review Board, which waived the requirement for informed consent because only deidentified data were used. We hypothesized that most eligible women do not undergo LCS, and PCPs would preferentially order BCS more than LCS. The primary outcome was the number of women who received mammograms for BCS who were also eligible for LCS using low-dose computed tomography. Secondary outcomes were the number of women diagnosed with LC and the clinician ordering LCS. The 2013 USPSTF criteria were used to determine eligibility for LCS. Statistical analysis was performed using χ2 test and a multivariable cox proportional hazards model adjusted for confounders (age, race, employment status, insurance status, personal history of pulmonary conditions, family history of LC, pack years, and years since quitting smoking). Significance was set at P < .05 and analysis was performed using Stata 15 (Stata Corp, LLC).

Results

Of 874 women (mean [SD] age, 66.8 [5.4] years) who underwent BCS, 99 (11.3%) were eligible for LCS, but only 35 (35.5%) were screened. The proportion of eligible women who were diagnosed with LC using the 2013 USPSTF criteria was significantly greater than in ineligible women (6.0% vs 2.5%, P = .02, Table 1). Among those eligible based on the updated guidelines, the difference was even greater (8.0% vs 1.8%, P = .007). Cancer screening was ordered by PCPs in 82.6% of women eligible for BCS and 60.0% of those eligible for LCS (P < .001, Table 2). Eligibility status for LCS was not associated with increased likelihood of undergoing LCS.
Table 1.

Participant Demographic Characteristics

CharacteristicParticipants, No. (%)P value
TotalEligibleIneligible
Participants874 (100)99 (11.3)775 (88.7)
Age, mean (SD)66.8 (5.4)67.4 (5.1)66.7 (5.4)
Racea
Asian70 (8.0)3 (3.0)67 (8.6).04
Black53 (6.1)11 (11.1)42 (5.4)
Native American9 (1.0)5 (5.1)4 (0.5)
Pacific Islander6 (0.7)06 (0.8)
White633 (72.4)71 (71.7)562 (72.5)
Otherb96 (11.0)8 (8.1)87 (11.2)
Unknown8 (0.9)1 (1.0)7 (0.9)
Family history
Cancer654 (74.8)65 (65.7)589 (76.0).08
Breast, ovarian, or uterine cancer389 (44.5)39 (39.4)350 (45.2).47
Lung cancer110 (12.6)12 (12.1)98 (12.6).85
Insurance status
Insured766 (87.6)88 (88.9)684 (88.3).69
Unknown insurance status108 (12.4)11 (11.1)91 (11.7)
Screening
LCS73 (8.4)35 (35.4)0.01
No LCS502 (57.4)36 (36.4)466 (60.1)
Chest CT for another reason299 (34.2)28 (28.3)309 (39.1)
Lung cancer diagnosis25 (100)6 (6.1)19 (2.5)
Stage I disease19 (76.0)4 (66.7)14 (73.7).02

Abbreviations: CT, computed tomography; LCS, lung cancer screening.

Data on race were self-reported by the participants.

Other race was undefined.

Table 2.

Clinicians Ordering Lung Cancer Screening for Eligible Participants

SpecialtyClinicians, No. (%)P value
Ordered mammogram Ordered LCS
Primary care30 (85.7)21 (60.0)<.001
Pulmonology010 (28.6)
Obstetrics and gynecology3 (8.6)0
Othera2 (5.7)4 (11.4)

Other includes the following specialties: oncology, surgical oncology, and thoracic surgery.

Abbreviations: CT, computed tomography; LCS, lung cancer screening. Data on race were self-reported by the participants. Other race was undefined. Other includes the following specialties: oncology, surgical oncology, and thoracic surgery.

Discussion

Despite being proven to decrease mortality, LCS is underused among eligible women, in contrast to breast and colorectal cancer screening.[1] Identifying women eligible for LCS during their BCS could increase detection rates and potentially at an earlier stage. This finding is consistent with previous literature and highlights the potential benefit of pairing BCS with effective strategies for LCS.[3] The data suggest the same clinicians who follow BCS guidelines fail to follow LCS guidelines, possibly leading to decreased screening rates in eligible women. There is an opportunity for increased education among PCPs and patients to help with the shared decision-making about LCS. Limitations of this study include its retrospective nature, small cohort from a single institution, and inability to identify why eligible patients did not undergo LCS. Education regarding indications and importance of LCS is paramount to increasing its use.
  6 in total

1.  Utilization and Cost of Mammography Screening Among Commercially Insured Women 50 to 64 Years of Age in the United States, 2012-2016.

Authors:  Jaya S Khushalani; Donatus U Ekwueme; Thomas B Richards; Susan A Sabatino; Gery P Guy; Yuanhui Zhang; Florence Tangka
Journal:  J Womens Health (Larchmt)       Date:  2019-10-15       Impact factor: 2.681

2.  Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement.

Authors:  Albert L Siu
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

3.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

4.  Beliefs and attitudes about lung cancer screening among smokers.

Authors:  Sirisha Jonnalagadda; Cara Bergamo; Jenny J Lin; Linda Lurslurchachai; Michael Diefenbach; Cardinale Smith; Judith E Nelson; Juan P Wisnivesky
Journal:  Lung Cancer       Date:  2012-06-06       Impact factor: 5.705

5.  Assessing Eligibility for Lung Cancer Screening Among Women Undergoing Screening Mammography: Cross-Sectional Survey Results From the National Health Interview Survey.

Authors:  Diego B López; Efrén J Flores; Randy C Miles; Gary X Wang; McKinley Glover; Jo-Anne O Shepard; Constance D Lehman; Anand K Narayan
Journal:  J Am Coll Radiol       Date:  2019-05-16       Impact factor: 5.532

6.  Perceptions and Utilization of Lung Cancer Screening Among Primary Care Physicians.

Authors:  Dan J Raz; Geena X Wu; Martin Consunji; Rebecca Nelson; Canlan Sun; Loretta Erhunmwunsee; Betty Ferrell; Virginia Sun; Jae Y Kim
Journal:  J Thorac Oncol       Date:  2016-06-23       Impact factor: 15.609

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