Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity
Background: Patients receiving cancer treatment often have one or more co-morbid conditions that are treated pharmacologically. Co-morbidities are recorded in clinical trials usually only at baseline. However, co-morbidities evolve and new ones emerge during cancer treatment. The interaction between...
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doaj-13231f83bf564539a6d3e253b2e103502020-11-24T21:14:35ZengElsevierTechnical Innovations & Patient Support in Radiation Oncology2405-63242017-06-012512Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicityAgnieszka Lemanska0Rachel C. Byford1Ana Correa2Clare Cruickshank3David P. Dearnaley4Clare Griffin5Emma Hall6Simon de Lusignan7Sara Faithfull8School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK; Corresponding author.Department of Health Care Management and Policy, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UKDepartment of Health Care Management and Policy, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UKThe Institute of Cancer Research – Clinical Trials and Statistics Unit, London, UKThe Institute of Cancer Research and Royal Marsden NHS Trust, London, UKThe Institute of Cancer Research – Clinical Trials and Statistics Unit, London, UKThe Institute of Cancer Research – Clinical Trials and Statistics Unit, London, UKDepartment of Health Care Management and Policy, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UKSchool of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UKBackground: Patients receiving cancer treatment often have one or more co-morbid conditions that are treated pharmacologically. Co-morbidities are recorded in clinical trials usually only at baseline. However, co-morbidities evolve and new ones emerge during cancer treatment. The interaction between multi-morbidity and cancer recovery is significant but poorly understood. Purpose: To investigate the effect of co-morbidities (e.g. cardiovascular and diabetes) and medications (e.g. statins, antihypertensives, metformin) on radiotherapy-related toxicity and long-term symptoms in order to identify potential risk factors. The possible protective effect of medications such as statins or antihypertensives in reducing radiotherapy-related toxicity will also be explored. Methods: Two datasets will be linked. (1) CHHiP (Conventional or Hypofractionated High Dose Intensity Modulated Radiotherapy for Prostate Cancer) randomised control trial. CHHiP contains pelvic symptoms and radiation-related toxicity reported by patients and clinicians. (2) GP (General Practice) data from RCGP RSC (Royal College of General Practitioners Research and Surveillance Centre). The GP records of CHHiP patients will be extracted, including cardiovascular co-morbidities, diabetes and prescription medications. Statistical analysis of the combined dataset will be performed in order to investigate the effect. Conclusions: Linking two sources of healthcare data is an exciting area of big healthcare data research. With limited data in clinical trials (not all clinical trials collect information on co-morbidities or medications) and limited lengths of follow-up, linking different sources of information is increasingly needed to investigate long-term outcomes. With increasing pressures to collect detailed information in clinical trials (e.g. co-morbidities, medications), linkage to routinely collected data offers the potential to support efficient conduct of clinical trials. Keywords: Data linkage, Radiotherapy-related side-effects, Late-effects, CHHiP, RCGP RSC, Big datahttp://www.sciencedirect.com/science/article/pii/S2405632417300100 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Agnieszka Lemanska Rachel C. Byford Ana Correa Clare Cruickshank David P. Dearnaley Clare Griffin Emma Hall Simon de Lusignan Sara Faithfull |
spellingShingle |
Agnieszka Lemanska Rachel C. Byford Ana Correa Clare Cruickshank David P. Dearnaley Clare Griffin Emma Hall Simon de Lusignan Sara Faithfull Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity Technical Innovations & Patient Support in Radiation Oncology |
author_facet |
Agnieszka Lemanska Rachel C. Byford Ana Correa Clare Cruickshank David P. Dearnaley Clare Griffin Emma Hall Simon de Lusignan Sara Faithfull |
author_sort |
Agnieszka Lemanska |
title |
Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
title_short |
Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
title_full |
Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
title_fullStr |
Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
title_full_unstemmed |
Linking CHHiP prostate cancer RCT with GP records: A study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
title_sort |
linking chhip prostate cancer rct with gp records: a study proposal to investigate the effect of co-morbidities and medications on long-term symptoms and radiotherapy-related toxicity |
publisher |
Elsevier |
series |
Technical Innovations & Patient Support in Radiation Oncology |
issn |
2405-6324 |
publishDate |
2017-06-01 |
description |
Background: Patients receiving cancer treatment often have one or more co-morbid conditions that are treated pharmacologically. Co-morbidities are recorded in clinical trials usually only at baseline. However, co-morbidities evolve and new ones emerge during cancer treatment. The interaction between multi-morbidity and cancer recovery is significant but poorly understood. Purpose: To investigate the effect of co-morbidities (e.g. cardiovascular and diabetes) and medications (e.g. statins, antihypertensives, metformin) on radiotherapy-related toxicity and long-term symptoms in order to identify potential risk factors. The possible protective effect of medications such as statins or antihypertensives in reducing radiotherapy-related toxicity will also be explored. Methods: Two datasets will be linked. (1) CHHiP (Conventional or Hypofractionated High Dose Intensity Modulated Radiotherapy for Prostate Cancer) randomised control trial. CHHiP contains pelvic symptoms and radiation-related toxicity reported by patients and clinicians. (2) GP (General Practice) data from RCGP RSC (Royal College of General Practitioners Research and Surveillance Centre). The GP records of CHHiP patients will be extracted, including cardiovascular co-morbidities, diabetes and prescription medications. Statistical analysis of the combined dataset will be performed in order to investigate the effect. Conclusions: Linking two sources of healthcare data is an exciting area of big healthcare data research. With limited data in clinical trials (not all clinical trials collect information on co-morbidities or medications) and limited lengths of follow-up, linking different sources of information is increasingly needed to investigate long-term outcomes. With increasing pressures to collect detailed information in clinical trials (e.g. co-morbidities, medications), linkage to routinely collected data offers the potential to support efficient conduct of clinical trials. Keywords: Data linkage, Radiotherapy-related side-effects, Late-effects, CHHiP, RCGP RSC, Big data |
url |
http://www.sciencedirect.com/science/article/pii/S2405632417300100 |
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