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dc.contributor.authorBrown, Lamorna
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorSullivan, Francis
dc.date.accessioned2021-10-29T18:30:02Z
dc.date.available2021-10-29T18:30:02Z
dc.date.issued2021-10-29
dc.identifier276355597
dc.identifier0c8ba894-3371-424e-bd47-0944b775922b
dc.identifier85117914132
dc.identifier000718861300001
dc.identifier.citationBrown , L , Agrawal , U & Sullivan , F 2021 , ' Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers ' , Cancers , vol. 13 , no. 21 , 5449 . https://doi.org/10.3390/cancers13215449en
dc.identifier.issn2072-6694
dc.identifier.otherORCID: /0000-0002-6206-8196/work/102330847
dc.identifier.otherORCID: /0000-0002-6623-4964/work/102330617
dc.identifier.urihttps://hdl.handle.net/10023/24225
dc.descriptionFunding: This research was funded by The Melville Trust for the Care and Cure of Cancer, grant number M00109.0001/TZH/MHR.en
dc.description.abstractLung cancer screening trials using low-dose computed tomography (LDCT) show reduced late-stage diagnosis and mortality rates. These trials have identified high-risk groups that would benefit from screening. However, these sub-populations can be difficult to access and retain in trials. Implementation of national screening programmes further suggests that there is poor uptake in eligible populations. A new approach to participant selection may be more effective. Electronic medical records (EMRs) are a viable alternative to population-based or health registries, as they contain detailed clinical and demographic information. Trials have identified that e-screening using EMRs has improved trial retention and eligible subject identification. As such, this paper argues for greater use of EMRs in trial recruitment and screening programmes. Moreover, this opinion paper explores the current issues in and approaches to lung cancer screening, whether records can be used to identify eligible subjects for screening and the challenges that researchers face when using EMR data.
dc.format.extent329039
dc.language.isoeng
dc.relation.ispartofCancersen
dc.subjectCanceren
dc.subjectScreeningen
dc.subjectSmokingen
dc.subjectElectronic recordsen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectZA4450 Databasesen
dc.subject3rd-NDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccRC0254en
dc.subject.lccZA4450en
dc.titleUsing Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkersen
dc.typeJournal articleen
dc.contributor.sponsorThe Melville Trust for the Care & Cureen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.identifier.doi10.3390/cancers13215449
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.mdpi.com/2072-6694/13/21/5449en
dc.identifier.grantnumberM00109.0001/TZH/MHRen


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