Evidence map›Paper›PMID 39159457›Full record

ArticleAnnals of internal medicine2024

The Development and Performance of Alternative Criteria for Lung Cancer Screening.

Lauren E Kearney, Patrick Belancourt, Hormuzd A Katki, Nichole T Tanner, Renda Soylemez Wiener, Hilary A Robbins, Rebecca Landy, Tanner J Caverly

Abstract read
In one paragraph

Article in Annals of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Lauren E KearneyCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, and The Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts (L.E.K.).ORCID 0000-0001-5661-8692
Patrick BelancourtVA Ann Arbor Healthcare System and Center for Clinical Management Research, Ann Arbor, Michigan (P.B.).
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland (H.A.K., R.L.).ORCID 0000-0003-2002-0095
Nichole T TannerHealth Equity and Rural Outreach Innovation Center, Ralph H. Johnson Veterans Affairs Healthcare System, and Division of Pulmonary, Critical Care and Sleep Medicine, Medical University of South Carolina, Charleston, South Carolina (N.T.T.).
Renda Soylemez WienerCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, Massachusetts; The Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts; and National Center for Lung Cancer Screening, Veterans Health Administration, Washington, DC (R.S.W.).ORCID 0000-0001-7712-2135
Hilary A RobbinsInternational Agency for Research on Cancer, Lyon, France (H.A.R.).ORCID 0000-0001-6041-6866
Rebecca LandyDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland (H.A.K., R.L.).ORCID 0000-0003-4042-4820
Tanner J CaverlyVA Ann Arbor Healthcare System, Ann Arbor, Michigan; National Center for Lung Cancer Screening, Veterans Health Administration, Washington, DC; and University of Michigan Medical School, Ann Arbor, Michigan (T.J.C.).ORCID 0000-0002-6560-0547

Funding

HSRD VA I01 HX002684World Health Organization 001
6 · The paper itself

Abstract

backgroundThe recommendation for lung cancer screening (LCS) developed by the U.S. Preventive Services Task Force (USPSTF) may exclude some high-benefit people.

objectiveTo determine whether alternative criteria can identify these high-benefit people.

designModel-based projections.

settingUnited States.

participantsPeople from the 1997-2014 National Health Interview Survey (NHIS) to develop alternative criteria using fast-and-frugal tree algorithms and from the 2014-2018 NHIS and the 2022 Behavioral Risk Factor Surveillance System for comparisons of USPSTF criteria versus alternative criteria. MEASUREMENTS: Life-years gained from LCS were estimated using the life-years gained from screening computed tomography (LYFS-CT) model. "High-benefit" was defined as gaining an average of at least 16.2 days of life from 3 annual screenings, which reflects high lung cancer risk and substantial life gains if lung cancer is detected by screening.

resultsThe final alternative criteria were 1) people who smoked any amount each year for at least 40 years, or 2) people aged 60 to 80 years with at least 40 pack-years of smoking. The USPSTF and alternative criteria selected similar numbers of people for LCS. Compared with the USPSTF criteria, the alternative criteria had higher sensitivity (91% vs. 78%; LIMITATION: The results were based on model projections.

conclusionThese results suggest that simple alternative LCS criteria can identify substantially more high-benefit people, especially in some racial and ethnic groups. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Lung Precision Oncology Program.

Indexed as

Early Detection of CancerLung NeoplasmsAgedAged, 80 and overAlgorithmsFemaleHumansMaleMass ScreeningMiddle AgedRisk AssessmentSmokingTomography, X-Ray ComputedUnited States

Identifiers

PMID39159457
PMCPMC12887358

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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.