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Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study (2023)
Journal Article
Jordan, K. P., Rathod-Mistry, T., van der Windt, D. A., Bailey, J., Chen, Y., Clarson, L., …Mamas, M. A. (2023). Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study. European Journal of Preventive Cardiology, 30(11), 1151-1161. https://doi.org/10.1093/eurjpc/zwad055

BACKGROUND: Most adults presenting in primary care with chest pain symptoms will not receive a diagnosis ("unattributed" chest pain) but are at increased risk of cardiovascular events. AIM: To assess within patients with unattributed chest pain, risk... Read More about Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study.

Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study (2021)
Journal Article
Rathod-Mistry, T., Mamas, M., Bailey, J., Chen, Y., Clarson, L., Denaxas, S., …Jordan, K. (2021). Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study. European Heart Journal, 42(S1), https://doi.org/10.1093/eurheartj/ehab724.1350

Background
Patients presenting to primary care with chest pain are often not given a cause. Patients with such unattributed chest pain have an increased risk of future cardiovascular disease (CVD) compared to patients with diagnosed non-coronary che... Read More about Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study.

Does attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status? (2013)
Journal Article
Lacey, R. J., Jordan, K. P., & Croft, P. R. (2013). Does attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status?. PloS one, e83948 - ?. https://doi.org/10.1371/journal.pone.0083948

Attrition is a potential source of bias in cohort studies. Although attrition may be inevitable in cohort studies of older people, there is little empirical evidence as to whether bias due to such attrition is also inevitable. Anonymised primary care... Read More about Does attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status?.

The impact of musculoskeletal conditions on outcomes of other illnesses (the MSKCOM study): a linked electronic health record study - Code lists
Dataset
Marshall, M., Mason, K., Bailey, J., Heron, N., Achanca, F., Chen, Y., …Jordan, K. (2022). The impact of musculoskeletal conditions on outcomes of other illnesses (the MSKCOM study): a linked electronic health record study - Code lists. [Dataset]

Marshall M, Mason K, Bailey J, Heron N, Achana F, Chen Y, Edwards J, Frisher M, Huntley A, Mallen C, Mamas M, Png ME, Tatton S, White S, Jordan KP. MSKCOM: main Public Output: The impact of musculoskeletal conditions on outcomes of other illnesses: a... Read More about The impact of musculoskeletal conditions on outcomes of other illnesses (the MSKCOM study): a linked electronic health record study - Code lists.