Using Electronic Medical Records to Identify Potentially Eligible Study Subjects for Lung Cancer Screening with Biomarkers
| Autor: | Francis Sullivan, Lamorna Brown, Utkarsh Agrawal |
|---|---|
| Přispěvatelé: | The Melville Trust for the Care & Cure, University of St Andrews. Population and Behavioural Science Division, University of St Andrews. School of Medicine, University of St Andrews. Sir James Mackenzie Institute for Early Diagnosis |
| Rok vydání: | 2021 |
| Předmět: |
Opinion
Cancer Research medicine.medical_specialty Electronic records Population Computed tomography smoking 3rd-NDAS RC0254 SDG 3 - Good Health and Well-being medicine cancer Intensive care medicine education ZA4450 RC254-282 health care economics and organizations Cancer education.field_of_study medicine.diagnostic_test ZA4450 Databases business.industry RC0254 Neoplasms. Tumors. Oncology (including Cancer) screening Mortality rate Medical record Eligible study Smoking electronic records Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease Oncology Screening business Lung cancer screening |
| Zdroj: | Cancers Cancers, Vol 13, Iss 5449, p 5449 (2021) |
| ISSN: | 2072-6694 |
| Popis: | Simple Summary Recent cancer screening trials have found that using low-dose computed tomography (LDCT), compared to chest radiography, resulted in a significant reduction in lung cancer mortality. To effectively carry out this intervention, individuals at a high risk of developing lung cancer are targeted. However, accurately identifying and retaining these groups can be challenging. As electronic medical records (EMRs) contain important demographic and clinical information, they could be used to accurately identify subjects for screening. To determine whether EMRs can be used for this purpose, this paper examines the evidence around the use of EMRs in screening trials and the information contained in them that could be used to aid researchers in identifying eligible subjects. 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. |
| Databáze: | OpenAIRE |
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