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Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers
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dc.contributor.author | Brown, Lamorna | |
dc.contributor.author | Agrawal, Utkarsh | |
dc.contributor.author | Sullivan, Francis | |
dc.date.accessioned | 2021-10-29T18:30:02Z | |
dc.date.available | 2021-10-29T18:30:02Z | |
dc.date.issued | 2021-10-29 | |
dc.identifier | 276355597 | |
dc.identifier | 0c8ba894-3371-424e-bd47-0944b775922b | |
dc.identifier | 85117914132 | |
dc.identifier | 000718861300001 | |
dc.identifier.citation | Brown , 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/cancers13215449 | en |
dc.identifier.issn | 2072-6694 | |
dc.identifier.other | ORCID: /0000-0002-6206-8196/work/102330847 | |
dc.identifier.other | ORCID: /0000-0002-6623-4964/work/102330617 | |
dc.identifier.uri | https://hdl.handle.net/10023/24225 | |
dc.description | Funding: This research was funded by The Melville Trust for the Care and Cure of Cancer, grant number M00109.0001/TZH/MHR. | en |
dc.description.abstract | Lung 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.extent | 329039 | |
dc.language.iso | eng | |
dc.relation.ispartof | Cancers | en |
dc.subject | Cancer | en |
dc.subject | Screening | en |
dc.subject | Smoking | en |
dc.subject | Electronic records | en |
dc.subject | RC0254 Neoplasms. Tumors. Oncology (including Cancer) | en |
dc.subject | ZA4450 Databases | en |
dc.subject | 3rd-NDAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject.lcc | RC0254 | en |
dc.subject.lcc | ZA4450 | en |
dc.title | Using Electronic Medical Records to identify potentially eligible study subjects for Lung Cancer screening with biomarkers | en |
dc.type | Journal article | en |
dc.contributor.sponsor | The Melville Trust for the Care & Cure | en |
dc.contributor.institution | University of St Andrews. Population and Behavioural Science Division | en |
dc.contributor.institution | University of St Andrews. School of Medicine | en |
dc.contributor.institution | University of St Andrews. Sir James Mackenzie Institute for Early Diagnosis | en |
dc.identifier.doi | 10.3390/cancers13215449 | |
dc.description.status | Peer reviewed | en |
dc.identifier.url | https://www.mdpi.com/2072-6694/13/21/5449 | en |
dc.identifier.grantnumber | M00109.0001/TZH/MHR | en |
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