Julia Hippisley–Cox

ORCID: 0000-0002-2479-7283 · 4 papers in corpus
observational 2024
Development and validation of a new algorithm for improved cardiovascular risk prediction
Nature medicine ·doi:10.1038/s41591-024-02905-y

QRISK algorithms use data from millions of people to help clinicians identify individuals at high risk of cardiovascular disease (CVD). Here, we derive and externally validate a new algorithm, which we have named QR4, that incorporates nove…

observational 2024
Incidence of menstrual symptoms suggestive of possible endometriosis in adolescents: and variance in these by ethnicity and socio-economic status
The British journal of general practice : the journal of the Royal College of General Practitioners ·doi:10.3399/bjgp24X737685

BACKGROUND: Dysmenorrhoea affects up to 94% of adolescents who menstruate; approximately one third miss school and activities. Dysmenorrhoea can occur without identified pelvic pathology (primary dysmenorrhoea) or in association with other …

other 2023
Exploring the interface between adolescent dysmenorrhoea and endometriosis: a protocol for a cohort and nested case-control study within the QResearch Database
BMJ open ·doi:10.1136/bmjopen-2022-069984

INTRODUCTION: Dysmenorrhoea affects up to 70%-91% of adolescents who menstruate, with approximately one-third experiencing severe symptoms with impacts on education, work and leisure. Dysmenorrhoea can occur without identifiable pathology, …

observational 2013
Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm
The British journal of general practice : the journal of the Royal College of General Practitioners ·doi:10.3399/bjgp13x660733

BACKGROUND: Early diagnosis of cancer could improve survival so better tools are needed. AIM: To derive an algorithm to estimate absolute risks of different types of cancer in women incorporating multiple symptoms and risk factors. Design …