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Outputs (11)

Engagement barriers and service inequities in the NHS Breast Screening Programme: Views from British-Pakistani women (2019)
Journal Article
Woof, V. G., Ruane, H., Ulph, F., French, D. P., Qureshi, N., Khan, N., Evans, D. G. R., & Donnelly, L. S. (2020). Engagement barriers and service inequities in the NHS Breast Screening Programme: Views from British-Pakistani women. Journal of Medical Screening, 27(3), 130-137. https://doi.org/10.1177/0969141319887405

Objectives: Previous research has largely attempted to explore breast screening experiences of South Asian women by combining opinions from Pakistani, Bangladeshi and Indian women. This research often fails to reach the most underserved sub-groups of... Read More about Engagement barriers and service inequities in the NHS Breast Screening Programme: Views from British-Pakistani women.

HEART UK consensus statement on Lipoprotein(a): A call to action (2019)
Journal Article
Cegla, J., Neely, R. D. G., France, M., Ferns, G., Byrne, C. D., Halcox, J., Datta, D., Capps, N., Shoulder, C., Qureshi, N., Rees, A., Main, L., Cramb, R., Viljoen, A., Paynel, J., Soran, H., & for the HEART UK Medical, Scientific and Research Committee. (2019). HEART UK consensus statement on Lipoprotein(a): A call to action. Atherosclerosis, 291, 62-70. https://doi.org/10.1016/j.atherosclerosis.2019.10.011

Lipoprotein(a), Lp(a), is a modified atherogenic low-density lipoprotein particle that contains apolipoprotein(a). Its levels are highly heritable and variable in the population. This consensus statement by HEART UK is based on the evidence that Lp(a... Read More about HEART UK consensus statement on Lipoprotein(a): A call to action.

How should health policy and practice respond to the increased genetic risk associated with close relative marriage? results of a UK Delphi consensus building exercise (2019)
Journal Article
Salway, S., Yazici, E., Khan, N., Ali, P., Elmslie, F., Thompson, J., & Qureshi, N. (2019). How should health policy and practice respond to the increased genetic risk associated with close relative marriage? results of a UK Delphi consensus building exercise. BMJ Open, 9(7), Article e028928. https://doi.org/10.1136/bmjopen-2019-028928

Objectives: (1) To explore professional and lay stakeholder views on the design and delivery of services in the area of consanguinity and genetic risk. (2) To identify principles on which there is sufficient consensus to warrant inclusion in a nation... Read More about How should health policy and practice respond to the increased genetic risk associated with close relative marriage? results of a UK Delphi consensus building exercise.

Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study (2019)
Journal Article
Iyen, B., Qureshi, N., Leonardi-Bee, J., Kai, J., Akyea, R. K., Roderick, P., Humphries, S. E., & Weng, S. (2019). Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study. Atherosclerosis, 287, 8-15. https://doi.org/10.1016/j.atherosclerosis.2019.05.017

Background and aims: Familial hypercholesterolaemia (FH) is a known major cause of premature heart disease. However, the risks of atherosclerotic disease in other vascular regions are less known. We determined the risk of major cardiovascular disease... Read More about Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study.

Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review (2019)
Journal Article
Ing Lee, S., Patel, M., Dutton, B., Weng, S., Luveta, J., & Qureshi, N. (2019). Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review. Journal of Community Genetics, https://doi.org/10.1007/s12687-019-00419-6

This systematic review evaluated the effectiveness of strategies to identify and manage patients with familial risk of breast, ovarian, colorectal and prostate cancer in primary careto improve clinical outcomes. MEDLINE, EMBASE, CINAHL and Cochrane l... Read More about Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review.

Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care (2019)
Journal Article
Weng, S., Kai, J., Akyea, R., & Qureshi, N. (2019). Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care. Lancet Public Health, 4(5), e256-e264. https://doi.org/10.1016/S2468-2667%2819%2930061-1

Background: The vast majority of individuals with familial hypercholesterolaemia (FH) in the general population remain unidentified worldwide. Recognising patients most at risk of having the condition, to enable targeted specialist assessment and tre... Read More about Detection of familial hypercholesterolaemia: external validation of the FAMCAT clinical case-finding algorithm to identify patients in primary care.

Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease (2019)
Journal Article
Akyea, R., Kai, J., Qureshi, N., Iyen, B., & Weng, S. (2019). Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease. Heart, 105(13), 975-981. https://doi.org/10.1136/heartjnl-2018-314253

Objective:
To assess low-density lipoprotein cholesterol (LDL-C) response in patients after initiation of statins, and future risk of CVD.

Method:
Prospective cohort study of 165,411 primary care patients, from the UK Clinical Practice Research... Read More about Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease.

Prediction of premature all-cause mortality: a prospective general population cohort study comparing machine-learning and standard epidemiological approaches (2019)
Journal Article
Weng, S. F., Vaz, L., Qureshi, N., & Kai, J. (2019). Prediction of premature all-cause mortality: a prospective general population cohort study comparing machine-learning and standard epidemiological approaches. PLoS ONE, 14(3), 1-22. https://doi.org/10.1371/journal.pone.0214365

Background: Prognostic modelling using standard methods is well-established, particularly for predicting risk of single diseases. Machine-learning may offer potential to explore outcomes of even greater complexity, such as premature death. This stud... Read More about Prediction of premature all-cause mortality: a prospective general population cohort study comparing machine-learning and standard epidemiological approaches.