Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort

Risk-based eligibility using PLCO<sub>m2012</sub> successfully classified most eventual lung cancer cases in the high-risk, screened group. Prediction models generally underestimated risk in this socioeconomically deprived cohort, irrespective of screening status. The effect of screening on increasing the probability of lung cancer diagnosis should be considered when interpreting measures of prediction model performance.

Authors

Institutions

Publication Details

Journal
BMJ Oncology
Published
2024-12-01
DOI
https://doi.org/10.1136/bmjonc-2024-000560
Citations
3
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort

Matthew Sperrin, Patrick Goodley, Richard Booton, Haval Balata et al.
3 citations
BMJ Oncology
Lung Cancer Diagnosis and Treatment
1.26
article

Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort

Matthew Sperrin, Patrick Goodley, Richard Booton, Haval Balata, Hilary A. Robbins, Philip Crosbie
article en
3 citations

Abstract

Risk-based eligibility using PLCO<sub>m2012</sub> successfully classified most eventual lung cancer cases in the high-risk, screened group. Prediction models generally underestimated risk in this socioeconomically deprived cohort, irrespective of screening status. The effect of screening on increasing the probability of lung cancer diagnosis should be considered when interpreting measures of prediction model performance.

BMJ OncologyVol. 3(1)
University of Manchester (GB), Manchester University NHS Foundation Trust (GB), Centre international de recherche sur le cancer (FR)
National Institute for Health and Care Research, Siemens Healthineers, Manchester Biomedical Research Centre, National Cancer Institute
Openalex Percentile: Top 18%
Lung Cancer Diagnosis and Treatment
1.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.