Evidence map›Paper›PMID 33514608›Full record

ArticleJournal of medical genetics2021

Targeting lung cancer screening to individuals at greatest risk: the role of genetic factors.

Mikey B Lebrett, Emma J Crosbie, Miriam J Smith, Emma R Woodward, D Gareth Evans, Philip A J Crosbie

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Can polygenic risk scores contribute to cost-effective cancer screening? A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
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  12. Significance ofInternational journal of medical sciences · 2024
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  19. Genes · 2022
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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

6 authors at 2 institutions in 1 country.

Mikey B LebrettDivision of Infection, Immunity and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK.ORCID 0000-0002-5386-9987
Emma J CrosbiePrevention and Early Detection Theme, NIHR Manchester Biomedical Research Centre, Manchester, UK.ORCID 0000-0003-0284-8630
Miriam J SmithPrevention and Early Detection Theme, NIHR Manchester Biomedical Research Centre, Manchester, UK.ORCID 0000-0002-3184-0817
Emma R WoodwardPrevention and Early Detection Theme, NIHR Manchester Biomedical Research Centre, Manchester, UK.ORCID 0000-0002-6297-2855
D Gareth EvansPrevention and Early Detection Theme, NIHR Manchester Biomedical Research Centre, Manchester, UK.ORCID 0000-0002-8482-5784
Philip A J CrosbieDivision of Infection, Immunity and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK philip.crosbie@manchester.ac.uk.ORCID 0000-0001-8941-4813
University of Manchester · GBManchester Academic Health Science Centre · GB

Funding

Department of Health NIHR-CS-012-009
6 · The paper itself

Abstract

Lung cancer (LC) is the most common global cancer. An individual's risk of developing LC is mediated by an array of factors, including family history of the disease. Considerable research into genetic risk factors for LC has taken place in recent years, with both low-penetrance and high-penetrance variants implicated in increasing or decreasing a person's risk of the disease. LC is the leading cause of cancer death worldwide; poor survival is driven by late onset of non-specific symptoms, resulting in late-stage diagnoses. Evidence for the efficacy of screening in detecting cancer earlier, thereby reducing lung-cancer specific mortality, is now well established. To ensure the cost-effectiveness of a screening programme and to limit the potential harms to participants, a risk threshold for screening eligibility is required. Risk prediction models (RPMs), which provide an individual's personal risk of LC over a particular period based on a large number of risk factors, may improve the selection of high-risk individuals for LC screening when compared with generalised eligibility criteria that only consider smoking history and age. No currently used RPM integrates genetic risk factors into its calculation of risk. This review provides an overview of the evidence for LC screening, screening related harms and the use of RPMs in screening cohort selection. It gives a synopsis of the known genetic risk factors for lung cancer and discusses the evidence for including them in RPMs, focusing in particular on the use of polygenic risk scores to increase the accuracy of targeted lung cancer screening.

Indexed as

Early Detection of CancerGenetic Predisposition to DiseaseCost-Benefit AnalysisFemaleGerm-Line MutationHumansLungLung NeoplasmsMaleMass ScreeningPolymorphism, Single NucleotideRisk AssessmentRisk FactorsTomography, X-Ray Computedearly diagnosisgeneticgenetic predisposition to diseasegerm-line mutationpolymorphism

Identifiers

PMID33514608
PMCPMC8005792
OpenAlexW3110959280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.