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  • 2015-2019  (2)
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  • 1
    Publication Date: 2018-06-29
    Description: Response to proposal for a novel cancer drug pricing model Response to proposal for a novel cancer drug pricing model, Published online: 28 June 2018; doi:10.1038/s41571-018-0062-7 Response to proposal for a novel cancer drug pricing model
    Print ISSN: 1759-4774
    Electronic ISSN: 1759-4782
    Topics: Medicine
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  • 2
    Publication Date: 2018-05-27
    Description: Objectives and setting Conflicting results from studies using electronic health records to evaluate the associations between type 2 diabetes and cancer fuel concerns regarding potential biases. This study aimed to describe completeness of cancer recording in UK primary care data linked to hospital admissions records. Design Patients aged 40+ years with insulin or oral antidiabetic prescriptions in Clinical Practice Research Datalink (CPRD) primary care without type 1 diabetes were matched by age, sex and general practitioner practice to non-diabetics. Those eligible for linkage to Hospital Episode Statistics Admitted Patient Care (HES APC), and with follow-up during April 1997–December 2006 were included. Primary and secondary outcome measures Cancer recording and date of first record of cancer were compared. Characteristics of patients with cancer most likely to have the diagnosis recorded only in a single data source were assessed. Relative rates of cancer estimated from the two datasets were compared. Participants 53 585 patients with type 2 diabetes matched to 47 435 patients without diabetes were included. Results Of all cancers (excluding non-melanoma skin cancer) recorded in CPRD, 83% were recorded in HES APC. 94% of cases in HES APC were recorded in CPRD. Concordance was lower when restricted to same-site cancer records, and was negatively associated with increasing age. Relative rates for cancer were similar in both datasets. Conclusions Good concordance in cancer recording was found between CPRD and HES APC among type 2 diabetics and matched controls. Linked data may reduce misclassification and increase case ascertainment when analysis focuses on site-specific cancers.
    Keywords: Open access, Epidemiology
    Electronic ISSN: 2044-6055
    Topics: Medicine
    Published by BMJ Publishing
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