van Vlymen J - Search Results

1

The association between serum sodium concentration, hypertension and primary cardiovascular events: a retrospective cohort study.

Cole NI, Suckling RJ, Swift PA, He FJ, MacGregor GA, Hinton W, van Vlymen J, Hayward N, Jones S, de Lusignan S. Cole NI, et al. Among authors: van vlymen j. J Hum Hypertens. 2019 Jan;33(1):69-77. doi: 10.1038/s41371-018-0115-5. Epub 2018 Sep 24. J Hum Hypertens. 2019. PMID: 30250270

2

Preventing stroke in people with atrial fibrillation: a cross-sectional study.

de Lusignan S, van Vlymen J, Hague N, Thana L, Dzregah B, Chan T. de Lusignan S, et al. Among authors: van vlymen j. J Public Health (Oxf). 2005 Mar;27(1):85-92. doi: 10.1093/pubmed/fdh201. Epub 2004 Dec 8. J Public Health (Oxf). 2005. PMID: 15590708 Free article.

3

Problems with primary care data quality: osteoporosis as an exemplar.

de Lusignan S, Valentin T, Chan T, Hague N, Wood O, van Vlymen J, Dhoul N. de Lusignan S, et al. Among authors: van vlymen j. Inform Prim Care. 2004;12(3):147-56. doi: 10.14236/jhi.v12i3.120. Inform Prim Care. 2004. PMID: 15606987 Free article.

4

Identifying patients with chronic kidney disease from general practice computer records.

de Lusignan S, Chan T, Stevens P, O'Donoghue D, Hague N, Dzregah B, Van Vlymen J, Walker M, Hilton S. de Lusignan S, et al. Among authors: van vlymen j. Fam Pract. 2005 Jun;22(3):234-41. doi: 10.1093/fampra/cmi026. Epub 2005 Apr 6. Fam Pract. 2005. PMID: 15814579

5

Quality and variability of osteoporosis data in general practice computer records: implications for disease registers.

de Lusignan S, Chan T, Wood O, Hague N, Valentin T, Van Vlymen J. de Lusignan S, et al. Among authors: van vlymen j. Public Health. 2005 Sep;119(9):771-80. doi: 10.1016/j.puhe.2004.10.018. Public Health. 2005. PMID: 15893348

6

Ensuring the Quality of Aggregated General Practice Data: Lessons from the Primary Care Data Quality Programme (PCDQ).

van Vlymen J, de Lusignan S, Hague N, Chan T, Dzregah B. van Vlymen J, et al. Stud Health Technol Inform. 2005;116:1010-5. Stud Health Technol Inform. 2005. PMID: 16160391

7

A system of metadata to control the process of query, aggregating, cleaning and analysing large datasets of primary care data.

van Vlymen J, de Lusignan S. van Vlymen J, et al. Inform Prim Care. 2005;13(4):281-91. doi: 10.14236/jhi.v13i4.608. Inform Prim Care. 2005. PMID: 16510025

8

Routinely-collected general practice data are complex, but with systematic processing can be used for quality improvement and research.

de Lusignan S, Hague N, van Vlymen J, Kumarapeli P. de Lusignan S, et al. Among authors: van vlymen j. Inform Prim Care. 2006;14(1):59-66. doi: 10.14236/jhi.v14i1.615. Inform Prim Care. 2006. PMID: 16848968 Free article.

9

Using computers to identify non-compliant people at increased risk of osteoporotic fractures in general practice: a cross-sectional study.

de Lusignan S, van Vlymen J, Hague N, Dhoul N. de Lusignan S, et al. Among authors: van vlymen j. Osteoporos Int. 2006 Dec;17(12):1808-14. doi: 10.1007/s00198-006-0188-9. Epub 2006 Aug 24. Osteoporos Int. 2006. PMID: 16932873

10

A study of cardiovascular risk in overweight and obese people in England.

de Lusignan S, Hague N, van Vlymen J, Dhoul N, Chan T, Thana L, Kumarapeli P. de Lusignan S, et al. Among authors: van vlymen j. Eur J Gen Pract. 2006;12(1):19-29. doi: 10.1080/13814780600757260. Eur J Gen Pract. 2006. PMID: 16945868 Free article.

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