When to reinvite initially ineligible populations for targeted lung cancer screening?


Journal

BMJ open respiratory research
ISSN: 2052-4439
Titre abrégé: BMJ Open Respir Res
Pays: England
ID NLM: 101638061

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 14 11 2023
accepted: 19 04 2024
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 16 5 2024
Statut: epublish

Résumé

Targeted low-dose CT lung cancer screening reduces lung cancer mortality. England's Targeted Lung Health Check programme uses risk prediction tools to determine eligibility for biennial screening among people with a smoking history aged 55-74. Some participants initially ineligible for lung cancer screening will later become eligible with increasing age and ongoing tobacco exposure. It is, therefore, important to understand how many people could qualify for reinvitation, and after how long, to inform implementation of services. We prospectively predicted future risk (using Prostate, Lung, Colorectal and Ovarian trial's risk model (PLCO Approximately a quarter eventually become eligible, with those with the lowest baseline risks unlikely to ever become eligible. Time-to-eligibility is shorter for participants with higher baseline risk, increasing age and ongoing smoking status. At a PLCO Predicting which participants may become eligible, and when, during a screening programme can help inform reinvitation strategies and service planning. Those with risk scores closer to the eligibility threshold, particularly people who continue to smoke, will reach eligibility in subsequent rounds while those at the lowest risk may be discharged from the programme from the outset.

Identifiants

pubmed: 38754907
pii: 11/1/e002193
doi: 10.1136/bmjresp-2023-002193
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: RB has received honoraria for educational events by Siemens Healthineers and Cobalt Medical Imaging.

Auteurs

Patrick Goodley (P)

Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK.
Division of Immunology, Immunity to Infection and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK.

Philip A J Crosbie (PAJ)

Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK.
Division of Immunology, Immunity to Infection and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK.

Matthew Sperrin (M)

Division of Informatics Imaging and Data Sciences, The University of Manchester, Manchester, UK.

Zoe Merchant (Z)

Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK.

Richard Booton (R)

Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK.
Division of Immunology, Immunity to Infection and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK.

Haval Balata (H)

Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK haval.balata@manchester.ac.uk.
Division of Immunology, Immunity to Infection and Respiratory Medicine, The University of Manchester Faculty of Biology Medicine and Health, Manchester, UK.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH