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Implementation of the NHS England Lung Cancer Screening Programme over 5 years

24Citations signalées — pas une note de qualité
59Institutions déclarées
2Pays d’affiliation déclarés

Résumé fourni par la source

Lung cancer screening with low-dose computed tomography has been proven to reduce lung-cancer-specific and all-cause mortality. The UK launched the NHS England Targeted Lung Health Check Programme in 2019, which has now become the national Lung Cancer Screening Programme, with full coverage expected by 2030. Here we present the progress and outcomes of the program. People aged 55-74 were offered low-dose computed tomography of the thorax if they had ever smoked and if risk thresholds, as determined by multivariable models, were met. Delivery of the program is through regionally federated clinical infrastructure and leadership, with national strategic, clinical and economic frameworks. The program has invited over two million people, with 7,193 lung cancers diagnosed-63.1% at tumor, node, metastasis stage 1 and 12.6% stage 2-to March 2025. This has increased the early-stage proportion of lung cancer in England over 5 years, particularly in socioeconomically deprived regions. The NHS England Programme exemplifies how large-scale implementation can be achieved at speed through centralized protocols and effective project management. The program has demonstrated feasibility and scalability in reaching high-risk and underserved populations, but needs to further address inequalities in participation. These findings support adoption of lung cancer screening across the UK and globally, and offer practical tools for international adaptation.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Implementation of the NHS England Lung Cancer Screening Programme over 5 years
Date Crossref
23/03/2026
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Royal Marsden NHS Foundation TrustCancer Research UKLung InstituteNHS DigitalUniversity College LondonManchester Academic Health Science CentreManchester University NHS Foundation TrustNHS EnglandIpsos (United Kingdom)Cardiff UniversityUniversity of HullHarefield HospitalImperial College LondonRoy Castle Lung Cancer FoundationClinical Research AtlantaUniversity of SouthamptonQueen Mary University of LondonDorset County HospitalSandwell CollegeUniversity of CambridgePapworth Hospital NHS Foundation TrustUniversity of LeedsLeeds Teaching Hospitals NHS TrustNottingham University Hospitals NHS TrustDudley Group NHS Foundation TrustUniversity of NottinghamNottinghamshire County CouncilNorthern Lincolnshire and Goole Hospitals NHS Foundation TrustUniversity of BristolBradford Teaching Hospitals NHS Foundation TrustUniversity Hospitals Plymouth NHS TrustUniversity Hospital CoventryWest Suffolk NHS Foundation TrustLeicestershire Partnership NHS TrustPeterborough City HospitalNewcastle upon Tyne Hospitals NHS Foundation TrustUniversity Hospitals Sussex NHS Foundation TrustFrimley Health NHS Foundation TrustDorset County Hospital NHS Foundation TrustNorthern Health and Social Care TrustPortsmouth Hospitals NHS TrustLancashire Teaching Hospitals NHS Foundation TrustNorfolk and Suffolk NHS Foundation TrustUniversity of LiverpoolLiverpool Heart and Chest HospitalGreat Western Hospitals NHS Foundation TrustJames Paget University HospitalGeorge Eliot HospitalEast and North Hertfordshire NHS TrustUniversity of BirminghamSurrey and Sussex Healthcare NHS TrustSheffield Health and Social Care NHS Foundation TrustMilton Keynes HospitalSandwell & West Birmingham Hospitals NHS TrustGuy's and St Thomas' NHS Foundation TrustSouth Tyneside and Sunderland NHS Foundation TrustSt Bartholomew's HospitalMerseytravelNorthumbria Healthcare NHS Foundation Trust

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

Lung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingLung Cancer Treatments and Mutations

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