(2023). BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data. Diagn Progn Res, 7, 1. http://doi.org/10.1186/s41512-022-00138-6.
(2017). Identifying clinical features in primary care electronic health record studies: methods for codelist development. BMJ Open. http://doi.org/10.1136/bmjopen-2017-019637.
(2018). Early detection of multiple myeloma in primary care using blood tests: a case-control study in primary care. Br J Gen Pract. http://doi.org/10.3399/bjgp18X698357.
(2019). Patient consultation rate and clinical and NHS outcomes: a cross-sectional analysis of English primary care data from 2.7 million patients in 238 practices. BMC Health Serv Res. http://doi.org/10.1186/s12913-019-4036-y.
(2020). Measuring the complexity of general practice consultations: a Delphi and cross-sectional study in English primary care. Br J Gen Pract. http://doi.org/10.3399/bjgp.2020.0486.
(2020). Prioritising primary care patients with unexpected weight loss for cancer investigation: diagnostic accuracy study. Bmj. http://doi.org/10.1136/bmj.m2651.
(2020). The association between unexpected weight loss and cancer diagnosis in primary care: a matched cohort analysis of 65,000 presentations. Br J Cancer. http://doi.org/10.1038/s41416-020-0829-3.
(2021). Clinical prediction tools to identify patients at highest risk of myeloma in primary care: a retrospective open cohort study. Br J Gen Pract. http://doi.org/10.3399/bjgp.2020.0697.