Journal article

Quantifying the risk of multiple myeloma from symptoms reported in primary care patients: a large case-control study using electronic records

Elizabeth A Shephard, Richard D Neal, Peter Rose, Fiona M Walter, Emma J Litt, William T Hamilton

British Journal of General Practice | ROYAL COLL GENERAL PRACTITIONERS | Published : 2015


BACKGROUND: Patients with myeloma experience the longest diagnostic delays compared with patients with other cancers in the UK; 37% are diagnosed through emergency presentations. AIM: To identify and quantify the risk of myeloma from specific clinical features reported by primary care patients. DESIGN AND SETTING: Matched case-control study using General Practice Research Database primary care electronic records. METHOD: Putative clinical features of myeloma were identified and analysed using conditional logistic regression. Positive predictive values (PPVs) were calculated for the consulting population. RESULTS: A total of 2703 patients aged ≥40 years, diagnosed with myeloma between 2000 an..

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University of Melbourne Researchers


Awarded by National Institute for Health Research (NIHR)

Awarded by National Institute for Health Research

Funding Acknowledgements

This article presents independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme (Grant Reference Number RP-PG-0608-10045). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. Fiona M Walter is part-funded by a NIHR Clinician Scientist award. Richard D Neal is part funded by Public Health Wales and Betsi Cadwaladr University Health Board.