Professor NADEEM QURESHI's Outputs (7)

Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study (2020)
Journal Article
Akyea, R. K., Qureshi, N., Kai, J., de Lusignan, S., Sherlock, J., McGee, C., & Weng, S. (2020). Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study. BJGP Open, 4(5), 1-10. https://doi.org/10.3399/bjgpopen20X101114

Background: Familial hypercholesterolaemia (FH) is an inherited lipid disorder causing premature heart disease, which is severely underdiagnosed. Improving the identification of people with FH in primary care settings would help to reduce avoidable h... Read More about Evaluating a clinical tool (FAMCAT) for identifying familial hypercholesterolaemia in primary care: a retrospective cohort study.

Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care (2020)
Journal Article
Akyea, R. K., Qureshi, N., Kai, J., & Weng, S. F. (2020). Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care. npj Digital Medicine, 3(1), Article 142. https://doi.org/10.1038/s41746-020-00349-5

Familial hypercholesterolaemia (FH) is a common inherited disorder, causing lifelong elevated low-density lipoprotein cholesterol (LDL-C). Most individuals with FH remain undiagnosed, precluding opportunities to prevent premature heart disease and de... Read More about Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care.

Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models (2020)
Journal Article
Akyea, R. K., Leonardi-Bee, J., Asselbergs, F. W., Patel, R. S., Durrington, P., Wierzbicki, A. S., Ibiwoye, O. H., Kai, J., Qureshi, N., & Weng, S. F. (2020). Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models. BMJ Open, 10(7), Article e034564. https://doi.org/10.1136/bmjopen-2019-034564

Introduction: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. With advances in early diagnosis and treatment of CVD and increasing life expectancy, more people are surviving initial CVD events. However, models t... Read More about Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models.

Is family history still underutilised? Exploring the views and experiences of primary care doctors in Malaysia (2020)
Journal Article
Hussein, N., Malik, T. F. A., Salim, H., Samad, A., Qureshi, N., & Ng, C. J. (2020). Is family history still underutilised? Exploring the views and experiences of primary care doctors in Malaysia. Journal of Community Genetics, 11(4), 413-420. https://doi.org/10.1007/s12687-020-00476-2

Family history has long been recognised as a non-invasive and inexpensive tool to identify individuals at risk of genetic conditions. Even in the era of evolving genetic and genomic technology, the role of family history in predicting individual risk... Read More about Is family history still underutilised? Exploring the views and experiences of primary care doctors in Malaysia.

What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420) (2020)
Journal Article
French, D. P., Astley, S., Brentnall, A. R., Cuzick, J., Dobrashian, R., Duffy, S. W., Gorman, L. S., Harkness, E. F., Harrison, F., Harvie, M., Howell, A., Jerrison, A., Machin, M., Maxwell, A. J., McWilliams, L., Payne, K., Qureshi, N., Ruane, H., Sampson, S., Stavrinos, P., …Evans, D. G. (2020). What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420). BMC Cancer, 20, Article 570. https://doi.org/10.1186/s12885-020-07054-2

Background
In principle, risk-stratification as a routine part of the NHS Breast Screening Programme (NHSBSP) should produce a better balance of benefits and harms. The main benefit is the offer of NICE-approved more frequent screening and/ or chemo... Read More about What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420).

Improving primary care identification of familial breast cancer risk using proactive invitation and decision support (2020)
Journal Article
Qureshi, N., Dutton, B., Weng, S., Sheehan, C., Chorley, W., Robertson, J. F., Kendrick, D., & Kai, J. (2021). Improving primary care identification of familial breast cancer risk using proactive invitation and decision support. Familial Cancer, 20(1), 13-21. https://doi.org/10.1007/s10689-020-00188-z

Family history of breast cancer is a key risk factor, accounting for up to 10% of cancers. We evaluated the proactive assessment of familial breast cancer (FBC) risk in primary care. Eligible women (30 to 60 years) were recruited from eight English g... Read More about Improving primary care identification of familial breast cancer risk using proactive invitation and decision support.

Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study (2020)
Journal Article
Zghebi, S. S., Mamas, M. A., Ashcroft, D. M., Salisbury, C., Mallen, C. D., Chew-Graham, C. A., Reeves, D., Van Marwijk, H., Qureshi, N., Weng, S., Holt, T., Buchan, I., Peek, N., Giles, S., Rutter, M. K., & Kontopantelis, E. (2020). Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study. BMJ Open Diabetes Research and Care, 8(1), Article e000962. https://doi.org/10.1136/bmjdrc-2019-000962

Objective: Clinically-applicable diabetes severity measures are lacking, with no previous studies compared their predictive value to HbA1c. We developed and validated a type 2 diabetes severity score (DISSCO) and evaluated its association with risks... Read More about Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study.