Socioeconomic Inequalities in the Diagnosis and Treatment of Colon and Ovarian Cancer in England Between 2016-2017

Study Overview
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Brief Summary
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This study is a population-based, patient-level analysis of colon and ovarian cancer diagnoses in England over a 2-year period using a dataset created by linking NCRAS and NHS digital datasets. Our analyses will look into inequalities in the diagnostic and treatment pathway, and inequalities in treatment received, for those diagnosed with colon and ovarian cancer between 2016-2017.

Detailed Description
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Colon and ovarian cancer survival in England lags behind other comparable countries. There is also evidence of a deprivation gradient in survival in England, where those from the most deprived areas are more likely to experience a worse survival with the disease. Inequalities in the diagnostic and treatment pathways, and in treatments received, may contribute to this deprivation gap in survival. This study will look at the secondary care diagnostic interval and the treatment interval to assess for any socioeconomic inequalities in both these intervals. This study will also look at anticancer treatments received (surgery, chemotherapy and the combination of both treatment modalities) to evaluate for any socioeconomic inequalities in treatments received. Important variables will be adjusted for in statistical modelling, including age, co-morbidities, ethnicity and stage of disease To evaluate for inequalities in treatments received and diagnostic and treatment intervals the study will use data from the cancer registry, Systemic Anticancer Therapy (SACT), Hospital Episodes Statistics, Diagnostic Imaging Dataset and Cancer Waiting Times datasets. These datasets will be linked by the National Cancer Registration and Analysis Service, using a unique identifier. We will receive a pseudo-anonymised dataset, allowing for patient-level analyses but without identifying individual patients.

Official Title
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Socioeconomic Inequalities in the Diagnosis and Treatment of Colon and Ovarian Cancer in England Between 2016-2017: A Data Linkage Study Linking National Cancer Registration and Analysis Service, Hospital Episode Statistics and NHS Digital Datasets

Conditions
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Treatment Related Cancer, Diagnoses Disease, Equality, Gender

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: All patients resident in England and aged 18-99 diagnosed with colon cancer (ICD10 C18) or ovarian cancer (ICD10 C48, C56, C57 and D39,1) where the date of diagnosis is between 01/01/2016 and 31/12/2017. Exclusion Criteria: Patients with cancers of the appendix (C18.1) will be excluded. Male patients with ovarian cancer. Borderline ovarian tumours (ICD-10 site code of C56x, C57x or C48x where the morphology code is: 8442, 8444, 8451, 8463, 8473, 8472 or 8462) and (ICD-10 site code D39.1 where the morphology code is 8144, 8260, 8313, 8380, 8381, 8440, 8441, 8460, 8470, 8480, 8481, 9000, 9013, 9014 or 9015). Sarcomas are excluded (where the morphology code is: 8693, 8800-8806, 8963, 8990-8991, 9040-9044, 8810, 8811-8921, 9120-9373, 9490, 9500, 9530-9582). Patients diagnosed with any prior invasive primary malignancies (ICD10 C00-97x), where the date of diagnosis of such prior invasive malignancies precedes the diagnosis date of the first qualifying tumour. Patients with a synchronous diagnosis on the same day as their qualifying tumour will be included within the sample population. Incomplete registrations excluded.

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 99 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Inequalities in time to diagnosis and/or treatment | Any differences in time to diagnosis or treatment of colon or ovarian cancer, adjusting for important factors | January 2016 - December 2017 | 
| Inequalities in treatments received | Any differences in treatments received for colon or ovarian cancer, adjusting for important factors | January 2016 - December 2017 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Socioeconomic Inequalities