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Items: 1 to 50 of 67

1.

Socioeconomic deprivation and regional variation in Hodgkin's lymphoma incidence in the UK: a population-based cohort study of 10 million individuals.

Rafiq M, Hayward A, Warren-Gash C, Denaxas S, Gonzalez-Izquierdo A, Lyratzopoulos G, Thomas S.

BMJ Open. 2019 Sep 20;9(9):e029228. doi: 10.1136/bmjopen-2019-029228.

PMID:
31542744
2.

Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records.

Hopkins C, Williamson E, Morris S, Clarke CS, Thomas M, Evans H, Little P, Lund VJ, Blackshaw H, Schilder A, Philpott C, Carpenter J, Denaxas S; MACRO programme team.

Rhinology. 2019 Sep 6. doi: 10.4193/Rhin19.136. [Epub ahead of print]

PMID:
31490466
3.

Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.

Banerjee A, Allan V, Denaxas S, Shah A, Kotecha D, Lambiase PD, Jacob J, Lund LH, Hemingway H.

Europace. 2019 Aug 13. pii: euz220. doi: 10.1093/europace/euz220. [Epub ahead of print]

PMID:
31408153
4.

Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource.

Denaxas S, Gonzalez-Izquierdo A, Fitzpatrick N, Direk K, Hemingway H.

Stud Health Technol Inform. 2019 Jul 4;262:220-223. doi: 10.3233/SHTI190058.

PMID:
31349307
5.

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.

Denaxas S, Gonzalez-Izquierdo A, Direk K, Fitzpatrick NK, Fatemifar G, Banerjee A, Dobson RJB, Howe LJ, Kuan V, Lumbers RT, Pasea L, Patel RS, Shah AD, Hingorani AD, Sudlow C, Hemingway H.

J Am Med Inform Assoc. 2019 Jul 22. pii: ocz105. doi: 10.1093/jamia/ocz105. [Epub ahead of print]

PMID:
31329239
6.

Associations Between Measures of Sarcopenic Obesity and Risk of Cardiovascular Disease and Mortality: A Cohort Study and Mendelian Randomization Analysis Using the UK Biobank.

Farmer RE, Mathur R, Schmidt AF, Bhaskaran K, Fatemifar G, Eastwood SV, Finan C, Denaxas S, Smeeth L, Chaturvedi N.

J Am Heart Assoc. 2019 Jul 2;8(13):e011638. doi: 10.1161/JAHA.118.011638. Epub 2019 Jun 21.

7.

The relationship between sleep duration, cognition and dementia: a Mendelian randomization study.

Henry A, Katsoulis M, Masi S, Fatemifar G, Denaxas S, Acosta D, Garfield V, Dale CE.

Int J Epidemiol. 2019 Jun 1;48(3):849-860. doi: 10.1093/ije/dyz071.

8.

Clarithromycin and endoscopic sinus surgery for adults with chronic rhinosinusitis with and without nasal polyps: study protocol for the MACRO randomised controlled trial.

Philpott C, le Conte S, Beard D, Cook J, Sones W, Morris S, Clarke CS, Thomas M, Little P, Vennik J, Lund V, Blackshaw H, Schilder A, Durham S, Denaxas S, Carpenter J, Boardman J, Hopkins C; MACRO programme team.

Trials. 2019 Apr 29;20(1):246. doi: 10.1186/s13063-019-3314-7.

9.

Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme).

Blackshaw H, Vennik J, Philpott C, Thomas M, Eyles C, Carpenter J, Clarke CS, Morris S, Schilder A, Lund V, Little P, Durham S, Denaxas S, Williamson E, Beard D, Cook J, Le Conte S, Airey K, Boardman J, Hopkins C.

Trials. 2019 Apr 23;20(1):230. doi: 10.1186/s13063-019-3318-3.

10.

Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records.

Pikoula M, Quint JK, Nissen F, Hemingway H, Smeeth L, Denaxas S.

BMC Med Inform Decis Mak. 2019 Apr 18;19(1):86. doi: 10.1186/s12911-019-0805-0.

11.

Causes of death among homeless people: a population-based cross-sectional study of linked hospitalisation and mortality data in England.

Aldridge RW, Menezes D, Lewer D, Cornes M, Evans H, Blackburn RM, Byng R, Clark M, Denaxas S, Fuller J, Hewett N, Kilmister A, Luchenski S, Manthorpe J, McKee M, Neale J, Story A, Tinelli M, Whiteford M, Wurie F, Hayward A.

Wellcome Open Res. 2019 Mar 11;4:49. doi: 10.12688/wellcomeopenres.15151.1. eCollection 2019.

12.

Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records.

Williamson E, Denaxas S, Morris S, Clarke CS, Thomas M, Evans H, Direk K, Gonzalez-Izquierdo A, Little P, Lund V, Blackshaw H, Schilder A, Philpott C, Hopkins C, Carpenter J, Programme Team OBOTM.

Rhinology. 2019 Aug 1;57(4):252-260. doi: 10.4193/Rhin18.237.

PMID:
30928998
13.

Risk factors for incident heart failure in age- and sex-specific strata: a population-based cohort using linked electronic health records.

Uijl A, Koudstaal S, Direk K, Denaxas S, Groenwold RHH, Banerjee A, Hoes AW, Hemingway H, Asselbergs FW.

Eur J Heart Fail. 2019 Jan 7. doi: 10.1002/ejhf.1350. [Epub ahead of print]

PMID:
30618162
14.

Time spent at blood pressure target and the risk of death and cardiovascular diseases.

Chung SC, Pujades-Rodriguez M, Duyx B, Denaxas SC, Pasea L, Hingorani A, Timmis A, Williams B, Hemingway H.

PLoS One. 2018 Sep 5;13(9):e0202359. doi: 10.1371/journal.pone.0202359. eCollection 2018.

15.

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.

Steele AJ, Denaxas SC, Shah AD, Hemingway H, Luscombe NM.

PLoS One. 2018 Aug 31;13(8):e0202344. doi: 10.1371/journal.pone.0202344. eCollection 2018.

16.

Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study.

Archangelidi O, Pujades-Rodriguez M, Timmis A, Jouven X, Denaxas S, Hemingway H.

Eur J Prev Cardiol. 2018 Sep;25(14):1485-1495. doi: 10.1177/2047487318785228. Epub 2018 Jul 2.

17.

Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.

Papež V, Denaxas S, Hemingway H.

AMIA Annu Symp Proc. 2018 Apr 16;2017:1352-1361. eCollection 2017.

18.

Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.

He Z, Gonzalez-Izquierdo A, Denaxas S, Sura A, Guo Y, Hogan WR, Shenkman E, Bian J.

AMIA Annu Symp Proc. 2018 Apr 16;2017:849-858. eCollection 2017.

19.

On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort.

Pita R, Pinto C, Sena S, Fiaccone R, Amorim L, Reis S, Barreto ML, Denaxas S, Barreto ME.

IEEE J Biomed Health Inform. 2018 Mar;22(2):346-353. doi: 10.1109/JBHI.2018.2796941.

PMID:
29505402
20.

An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.

Gho JMIH, Schmidt AF, Pasea L, Koudstaal S, Pujades-Rodriguez M, Denaxas S, Shah AD, Patel RS, Gale CP, Hoes AW, Cleland JG, Hemingway H, Asselbergs FW.

BMJ Open. 2018 Mar 3;8(3):e018331. doi: 10.1136/bmjopen-2017-018331. Erratum in: BMJ Open. 2018 Mar 22;8(3):e018331corr1.

21.

Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.

Harris S, Shi S, Brealey D, MacCallum NS, Denaxas S, Perez-Suarez D, Ercole A, Watkinson P, Jones A, Ashworth S, Beale R, Young D, Brett S, Singer M.

Int J Med Inform. 2018 Apr;112:82-89. doi: 10.1016/j.ijmedinf.2018.01.006. Epub 2018 Jan 31.

22.

Big data from electronic health records for early and late translational cardiovascular research: challenges and potential.

Hemingway H, Asselbergs FW, Danesh J, Dobson R, Maniadakis N, Maggioni A, van Thiel GJM, Cronin M, Brobert G, Vardas P, Anker SD, Grobbee DE, Denaxas S; Innovative Medicines Initiative 2nd programme, Big Data for Better Outcomes, BigData@Heart Consortium of 20 academic and industry partners including ESC.

Eur Heart J. 2018 Apr 21;39(16):1481-1495. doi: 10.1093/eurheartj/ehx487.

23.

Outcomes of specialist discharge coordination and intermediate care schemes for patients who are homeless: analysis protocol for a population-based historical cohort.

Blackburn RM, Hayward A, Cornes M, McKee M, Lewer D, Whiteford M, Menezes D, Luchenski S, Story A, Denaxas S, Tinelli M, Wurie FB, Byng R, Clark MC, Fuller J, Gabbay M, Hewett N, Kilmister A, Manthorpe J, Neale J, Aldridge RW.

BMJ Open. 2017 Dec 14;7(12):e019282. doi: 10.1136/bmjopen-2017-019282.

24.

A novel metadata management model to capture consent for record linkage in longitudinal research studies.

McMahon C, Denaxas S.

Inform Health Soc Care. 2019;44(2):176-188. doi: 10.1080/17538157.2017.1364251. Epub 2017 Nov 6.

25.

Serotonin reuptake inhibitors and mortality in epilepsy: A linked primary-care cohort study.

Josephson CB, Gonzalez-Izquierdo A, Denaxas S, Fitzpatrick NK, Sajobi TT, Engbers JDT, Patten S, Jette N, Wiebe S.

Epilepsia. 2017 Nov;58(11):2002-2009. doi: 10.1111/epi.13904. Epub 2017 Sep 24.

26.

Methods for enhancing the reproducibility of biomedical research findings using electronic health records.

Denaxas S, Direk K, Gonzalez-Izquierdo A, Pikoula M, Cakiroglu A, Moore J, Hemingway H, Smeeth L.

BioData Min. 2017 Sep 11;10:31. doi: 10.1186/s13040-017-0151-7. eCollection 2017. Review.

27.

Reply: Neutrophil Count Is Associated With Risks of Cardiovascular Diseases.

Shah AD, Denaxas S, Nicholas O, Hingorani AD, Hemingway H.

J Am Coll Cardiol. 2017 Aug 15;70(7):912. doi: 10.1016/j.jacc.2017.05.068. No abstract available.

28.

Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients.

George J, Mathur R, Shah AD, Pujades-Rodriguez M, Denaxas S, Smeeth L, Timmis A, Hemingway H.

PLoS One. 2017 Jun 9;12(6):e0178945. doi: 10.1371/journal.pone.0178945. eCollection 2017.

29.

Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.

Forssen H, Patel R, Fitzpatrick N, Hingorani A, Timmis A, Hemingway H, Denaxas S.

Stud Health Technol Inform. 2017;235:111-115.

PMID:
28423765
30.

Prognosis of undiagnosed chest pain: linked electronic health record cohort study.

Jordan KP, Timmis A, Croft P, van der Windt DA, Denaxas S, González-Izquierdo A, Hayward RA, Perel P, Hemingway H.

BMJ. 2017 Apr 3;357:j1194. doi: 10.1136/bmj.j1194.

31.

Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records.

Bell S, Daskalopoulou M, Rapsomaniki E, George J, Britton A, Bobak M, Casas JP, Dale CE, Denaxas S, Shah AD, Hemingway H.

BMJ. 2017 Mar 22;356:j909. doi: 10.1136/bmj.j909.

32.

Personalising the decision for prolonged dual antiplatelet therapy: development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors.

Pasea L, Chung SC, Pujades-Rodriguez M, Moayyeri A, Denaxas S, Fox KAA, Wallentin L, Pocock SJ, Timmis A, Banerjee A, Patel R, Hemingway H.

Eur Heart J. 2017 Apr 7;38(14):1048-1055. doi: 10.1093/eurheartj/ehw683.

33.

Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study.

Shah AD, Denaxas S, Nicholas O, Hingorani AD, Hemingway H.

J Am Coll Cardiol. 2017 Mar 7;69(9):1160-1169. doi: 10.1016/j.jacc.2016.12.022. Erratum in: J Am Coll Cardiol. 2017 Jun 27;69(25):3125-3126.

34.

White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand.

Shah AD, Thornley S, Chung SC, Denaxas S, Jackson R, Hemingway H.

BMJ Open. 2017 Feb 17;7(2):e013100. doi: 10.1136/bmjopen-2016-013100.

36.

Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people.

Koudstaal S, Pujades-Rodriguez M, Denaxas S, Gho JMIH, Shah AD, Yu N, Patel RS, Gale CP, Hoes AW, Cleland JG, Asselbergs FW, Hemingway H.

Eur J Heart Fail. 2017 Sep;19(9):1119-1127. doi: 10.1002/ejhf.709. Epub 2016 Dec 23.

37.
38.

The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.

Denaxas SC, Asselbergs FW, Moore JH.

BioData Min. 2016 Sep 22;9:29. doi: 10.1186/s13040-016-0109-1. eCollection 2016.

39.

Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study.

Shah AD, Denaxas S, Nicholas O, Hingorani AD, Hemingway H.

Open Heart. 2016 Sep 5;3(2):e000477. doi: 10.1136/openhrt-2016-000477. eCollection 2016.

40.

Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care.

Allan V, Banerjee A, Shah AD, Patel R, Denaxas S, Casas JP, Hemingway H.

Heart. 2017 Feb;103(3):210-218. doi: 10.1136/heartjnl-2016-309910. Epub 2016 Aug 31.

41.

A novel framework for assessing metadata quality in epidemiological and public health research settings.

McMahon C, Denaxas S.

AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:199-208. eCollection 2016.

42.

Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction.

Rapsomaniki E, Thuresson M, Yang E, Blin P, Hunt P, Chung SC, Stogiannis D, Pujades-Rodriguez M, Timmis A, Denaxas SC, Danchin N, Stokes M, Thomas-Delecourt F, Emmas C, Hasvold P, Jennings E, Johansson S, Cohen DJ, Jernberg T, Moore N, Janzon M, Hemingway H.

Eur Heart J Qual Care Clin Outcomes. 2016 Jul 1;2(3):172-183. doi: 10.1093/ehjqcco/qcw004.

43.

Prolonged dual antiplatelet therapy in stable coronary disease: comparative observational study of benefits and harms in unselected versus trial populations.

Timmis A, Rapsomaniki E, Chung SC, Pujades-Rodriguez M, Moayyeri A, Stogiannis D, Shah AD, Pasea L, Denaxas S, Emmas C, Hemingway H.

BMJ. 2016 Jun 22;353:i3163. doi: 10.1136/bmj.i3163.

44.

Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis.

Zhou SM, Fernandez-Gutierrez F, Kennedy J, Cooksey R, Atkinson M, Denaxas S, Siebert S, Dixon WG, O'Neill TW, Choy E, Sudlow C; UK Biobank Follow-up and Outcomes Group, Brophy S.

PLoS One. 2016 May 2;11(5):e0154515. doi: 10.1371/journal.pone.0154515. eCollection 2016.

45.

Depression as a Risk Factor for the Initial Presentation of Twelve Cardiac, Cerebrovascular, and Peripheral Arterial Diseases: Data Linkage Study of 1.9 Million Women and Men.

Daskalopoulou M, George J, Walters K, Osborn DP, Batty GD, Stogiannis D, Rapsomaniki E, Pujades-Rodriguez M, Denaxas S, Udumyan R, Kivimaki M, Hemingway H.

PLoS One. 2016 Apr 22;11(4):e0153838. doi: 10.1371/journal.pone.0153838. eCollection 2016.

46.

Discussion of "Combining Health Data Uses to Ignite Health System Learning".

Denaxas S, Friedman CP, Geissbuhler A, Hemingway H, Kalra D, Kimura M, Kuhn KA, Payne TH, de Quiros FG, Wyatt JC.

Methods Inf Med. 2015;54(6):488-99. doi: 10.3414/ME15-12-0004. Epub 2015 Nov 5. Erratum in: Methods Inf Med. 2016;55(2):201. Payne, HA [Corrected to Payne, TH].

PMID:
26538343
47.

How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People.

George J, Rapsomaniki E, Pujades-Rodriguez M, Shah AD, Denaxas S, Herrett E, Smeeth L, Timmis A, Hemingway H.

Circulation. 2015 Oct 6;132(14):1320-8. doi: 10.1161/CIRCULATIONAHA.114.013797. Epub 2015 Sep 1.

48.

Type 2 diabetes and incidence of a wide range of cardiovascular diseases: a cohort study in 1·9 million people.

Dinesh Shah A, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, Deanfield J, Smeeth L, Timmis A, Hemingway H.

Lancet. 2015 Feb 26;385 Suppl 1:S86. doi: 10.1016/S0140-6736(15)60401-9.

PMID:
26312908
49.

Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study.

Johnson R, Evans M, Cramer H, Bennert K, Morris R, Eldridge S, Juttner K, Zaman MJ, Hemingway H, Denaxas S, Timmis A, Feder G.

BMC Med Inform Decis Mak. 2015 Aug 26;15:71. doi: 10.1186/s12911-015-0189-8.

50.

Big biomedical data and cardiovascular disease research: opportunities and challenges.

Denaxas SC, Morley KI.

Eur Heart J Qual Care Clin Outcomes. 2015 Jul 1;1(1):9-16. doi: 10.1093/ehjqcco/qcv005.

PMID:
29474568

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