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Abstract
Background/Objectives: Despite recent lung cancer screening (LCS) studies proving significant mortality reduction, comorbidities are a prominent issue affecting cost effectiveness, which is holding back national implementation. Incidental findings (IFs) of comorbidities make a significant contribution to delayed diagnoses and raise discussions about optimal management plans. This is particularly relevant to national lung cancer screening (NLCS), as the high-risk population qualifying for the screening often have increased likelihood for comorbidities due to their smoking history.
Methods: The Early Detection of Cancer of the Lung Scotland (ECLS) (ClinicalTrials.gov identifier NCT01925625) study showcases a targeted approach to NLCS by implementing the blood-based biomarker EarlyCDT-Lung test. Firstly, this paper explored the ECLS dataset for comorbidities present within the screening population at baseline A chi-square analysis was then undertaken to investigate the relationship of cohort allocation and incidence of new comorbidities over the five-year follow-up period.
Results: High prevalence conditions were cardiovascular (38.5%), neurological/psychiatric (33.9%), gastrointestinal (29.8%), and respiratory (19.2%). While 20.3% of the total patient cohort showed a newly discovered comorbidity, there was no significant variation in new incidences between the intervention and control cohort.
Conclusions: When considering these results alongside the all-cause mortality reduction shown in previous analyses, they indicate that this targeted approach to LCS might help improve the benefit–harm ratio through the introduction of biomarkers. Further refining selection criteria for low-dose CT screening might contribute to minimising the risk of overdiagnosis and overtreatment.
Methods: The Early Detection of Cancer of the Lung Scotland (ECLS) (ClinicalTrials.gov identifier NCT01925625) study showcases a targeted approach to NLCS by implementing the blood-based biomarker EarlyCDT-Lung test. Firstly, this paper explored the ECLS dataset for comorbidities present within the screening population at baseline A chi-square analysis was then undertaken to investigate the relationship of cohort allocation and incidence of new comorbidities over the five-year follow-up period.
Results: High prevalence conditions were cardiovascular (38.5%), neurological/psychiatric (33.9%), gastrointestinal (29.8%), and respiratory (19.2%). While 20.3% of the total patient cohort showed a newly discovered comorbidity, there was no significant variation in new incidences between the intervention and control cohort.
Conclusions: When considering these results alongside the all-cause mortality reduction shown in previous analyses, they indicate that this targeted approach to LCS might help improve the benefit–harm ratio through the introduction of biomarkers. Further refining selection criteria for low-dose CT screening might contribute to minimising the risk of overdiagnosis and overtreatment.
Original language | English |
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Article number | 2116 |
Number of pages | 10 |
Journal | Journal of Clinical Medicine |
Volume | 14 |
Issue number | 6 |
DOIs | |
Publication status | Published - 20 Mar 2025 |
Keywords
- National lung cancer screening
- Lung cancer screening
- Incidental findings
- Comorbidity
- Biomarker
- Early diagnosis
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- 1 Finished
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Prof Frank Sullivan - Studentship: Detecting high-risk smokers in Primary Care Electronic Health Records: An automatic classification, data extraction and predictive modelling approach.
Sullivan, F. (PI) & Kelsey, T. (CoI)
1/01/20 → 31/12/22
Project: Studentship