Subota A et al. Risk factors for dementia development, frailty, and mortality in older adults with epilepsy – A population-based analysis. Epilepsy & Behavior 2021; 120:108006 https://doi.org/10.1016/j.yebeh.2021.108006
Kuan, V. et al. Data-driven identification of ageing-related diseases from electronic health records. Sci Rep 11, 2938 (2021). https://doi.org/10.1038/s41598-021-82459-y
Curcin, V et al. Special issue on Human Phenomics. Learning Health Systems. 4.4 (2020): Learning Health Systems. , 2020, Vol.4(4). Web. doi:10.1002/lrh2.10198
Banerjee A et al. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet. 2020. DOI: 10.1016/S0140-6736(20)30854-0. PMID: 32405103
Chung S-C et al. Association between Angiotensin Blockade and Incidence of Influenza in the United Kingdom. N Engl J Med. 2020. May 8. DOI: 10.1056/NEJMc2005396 PMID: 32383830
Fan H et al. Associations between macrolide antibiotics prescribing during pregnancy and adverse child outcomes in the UK: population based cohort study. BMJ 2020;368:m331 DOI: 10.1136/bmj.m331 PMID: 32075790
Härmälä, S., O’Brien, A., Parisinos, C.A. et al. Development and validation of a prediction model to estimate the risk of liver cirrhosis in primary care patients with abnormal liver blood test results: protocol for an electronic health record study in Clinical Practice Research Datalink. Diagn Progn Res 3, 10 (2019). https://doi.org/10.1186/s41512-019-0056-7
Lai A et al. Estimating excess mortality in people with cancer and multimorbidity in the COVID-19 emergency. Available as a pre-print
Katsoulis M et al. Weight change and the incidence of cardiovascular diseases in adults with normal weight, overweight and obesity without chronic diseases; emulating trials using electronic health records. Available as a pre-print
Rafiq M et al. Allergic disease, corticosteroid use, and risk of Hodgkin lymphoma: A United Kingdom nationwide case-control study. Journal of Allergy and Clinical Immunology. 2020. 145(3): 868–876. DOI: 10.1016/j.jaci.2019.10.033 PMID: 31730878
Rockenschaub P et al. Opportunities to reduce antibiotic prescribing for patients with COPD in primary care: a cohort study using electronic health records from the Clinical Practice Research Datalink (CPRD). J Antimicrob Chemother. 2020 Jan 1;75(1):243-251. DOI: 10.1093/jac/dkz411 PMID: 31598669
Rockenschaub P et al. Data-driven discovery of changes in clinical code usage over time: a case-study on changes in cardiovascular disease recording in two English electronic health records databases (2001–2015). BMJ Open 2020;10:e034396. DOI: 10.1136/bmjopen-2019-034396 PMID: 32060159
Alexander N et al. Discovering subtypes of Alzheimer’s disease using electronic health records. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2019. 15(7): P485.
Banerjee A et al. Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis. EP Europace, Volume 21, Issue 12, December 2019, Pages 1776–1784 https://doi.org/10.1093/europace/euz220
Bromage D et al. Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study. Cardiovascular Diabetology, 2019. 18(1): 168. DOI: 10.1186/s12933-019-0972-4 PMID: 31815634
Chan MS et al. Socio-economic inequalities in life expectancy of older adults with and without multimorbidity: a record linkage study of 1.1 million people in England. International Journal of Epidemiology, 2019, 1340–1351 DOI: 10.1093/ije/dyz052 PMID: 30945728
Denaxas S et al. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. JAMIA 2019 DOI: 10.1093/jamia/ocz105 PMID: PMC6857510
Denaxas S et al. Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource. In Studies in Health Technology and Informatics. 2019. 262:220–223. IOS Press. DOI: 10.3233/SHTI190058 PMID: 31329239Denaxas S et al. Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK Biobank. Available as a pre-print at https://www.biorxiv.org/content/10.1101/685156v1
Dickerman B et al. Avoidable flaws in observational analyses: an application to statins and cancer. Nature Medicine. 2019. Oct;25(10):1601-1606. DOI: 10.1038/s41591-019-0597-x. PMID: 31591592
Hopkins C et al. Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology. 2019. 57(6): 420–429. DOI: 10.4193/Rhin19.136 PMID: 31490466
Kuan V et al. A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health. 2019. 7500(19), 1–15. DOI:10.1016/S2589-7500(19)30012-3 PMID: PMC6798263
Kunz H et al. Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system. In International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), 2019.
McCarthy FP et al. Preeclampsia and premature cardiovascular disease in a large UK pregnancy cohort of linked electronic health records: a CALIBER study. Circulation. 2019. Sep 24;140(13):1050-1060. DOI: 10.1161/CIRCULATIONAHA.118.038080. Epub 2019 Sep 23. PMID: 31545680
Pasea L et al. Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC medicine. 2019. 17(1): 206. DOI: 10.1186/s12916-019-1438-y PMID: 31744503
Pathak N et al. Validity of using UK primary care electronic health records to study migration and health: a population-based cohort study. The Lancet. 2019. 394: S75. DOI: 10.1016/S0140-6736(19)32872-7
Pikoula M et al. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Medical Informatics and Decision Making. 2019. 19:86. DOI: 10.1186/s12911-019-0805-0 PMID: 30999919
Rafiq M et al. Socioeconomic deprivation and regional variation in Hodgkins lymphoma incidence in the UK: A population-based cohort study of 10 million individuals. BMJ Open. 2019. DOI: 10.1136/bmjopen-2019-029228 PMID: 31542744
Rockenschaub P et al. Antibiotic Prescribing Before and After the Diagnosis of Comorbidity: A Cohort Study Using Primary Care Electronic Health Records. Clin Infect Dis. 2019. Oct 21;ciz1016. DOI: 10.1093/cid/ciz1016 PMID: 31631225
Shah AD et al. Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J Biomed Semantics. 2019. 10(Suppl 1):20. Published 2019 Nov 12. DOI:10.1186/s13326-019-0214-4 PMID: 31711543
Uijl A et al. Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records. European Journal of Heart Failure. 2019. DOI: 10.1002/ejhf.1350. PMID: 30618162
Williamson E et al. Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records. Rhinology. 2019. 57(4): 252–260. DOI: 10.4193/Rhin18.237 PMID: 30928998
Archangelidi O et al. 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. Eur J Prev Cardiol. 2018 Sep;25(14):1485-1495. doi: 10.1177/2047487318785228. Epub 2018 Jul 2. PMID: 29966429
Chung SC et al. Time spent at blood pressure target and the risk of death and cardiovascular diseases. PLoS One. 2018 Sep 5;13(9):e0202359. doi: 10.1371/journal.pone.0202359. eCollection 2018. PMID: 30183734
Gho JMIH et al. An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. 2018 Mar 3;8(3):e018331. doi: 10.1136/bmjopen-2017-018331. PMID: 29502083
Papez V et al. Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms. AMIA Annu Symp Proc. 2018 Apr 16;2017:1352-1361. eCollection 2017. PMID: 29854204
Pujades-Rodriguez M et al. The diagnosis, burden and prognosis of dementia: A record-linkage cohort study in England. PLoS One. 2018 Jun 26;13(6):e0199026. doi: 10.1371/journal.pone.0199026. eCollection 2018. PMID: 29944675
Pujades-Rodriguez M et al. Identifying unmet clinical need in hypertrophic cardiomyopathy using national electronic health records. PLoS One. 2018 Jan 11;13(1):e0191214. doi: 10.1371/journal.pone.0191214. eCollection 2018. PMID: 29324812
Rapsomaniki E et al. Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction. Eur Heart J Qual Care Clin Outcomes. 2016 Jul 1;2(3):172-183. doi: 10.1093/ehjqcco/qcw004. PMID: 29474617
Allan V et al. Are cardiovascular risk factors also associated with the incidence of atrial fibrillation? A systematic review and field synopsis of 23 factors in 32 population-based cohorts of 20 million participants. Thromb Haemost. 2017 May 3;117(5):837-850. doi: 10.1160/TH16-11-0825. Epub 2017 Feb 23. PMID: 28229164
Bell S et al. Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records. BMJ. 2017 Mar 22;356:j909. doi: 10.1136/bmj.j909. PMID: 28331015
Denaxas S et al. Methods for enhancing the reproducibility of biomedical research findings using electronic health records. BioData Min. 2017 Sep 11;10:31. doi: 10.1186/s13040-017-0151-7. eCollection 2017. PMID: 28912836
Forssen H et al. Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data. Stud Health Technol Inform. 2017;235:111-115. PMID: 28423765
George J et al. Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients. PLoS One. 2017 Jun 9;12(6):e0178945. doi: 10.1371/journal.pone.0178945. eCollection 2017. PMID: 28598987
Hemingway H et al. ["Using nationwide 'big data' from linked electronic health records to help improve", 'outcomes in cardiovascular diseases: 33 studies using methods from epidemiology,', 'informatics, economics and social science in the ClinicAl disease research using', 'LInked Bespoke studies and Electronic health Records (CALIBER) programme'] BMJ Open. 2017 Feb 17;7(2):e013100. doi: 10.1136/bmjopen-2016-013100. PMID: 28151614
Jordan KP et al. Prognosis of undiagnosed chest pain: linked electronic health record cohort study. BMJ. 2017 Apr 3;357:j1194. doi: 10.1136/bmj.j1194. PMID: 28373173
Koudstaal S et al. 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. Eur J Heart Fail. 2017 Sep;19(9):1119-1127. doi: 10.1002/ejhf.709. Epub 2016 Dec 23. PMID: 28008698
Pasea L et al. 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. Eur Heart J. 2017 Apr 7;38(14):1048-1055. doi: 10.1093/eurheartj/ehw683. PMID: 28329300
Shah AD et al. Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study. J Am Coll Cardiol. 2017 Mar 7;69(9):1160-1169. doi: 10.1016/j.jacc.2016.12.022. PMID: 28254179
Shah AD et al. 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. BMJ Open. 2017 Feb 17;7(2):e013100. doi: 10.1136/bmjopen-2016-013100. PMID: 28213596
Allan V, Banerjee A, Shah AD, Patel R, Denaxas S, Casas J-P, Hemingway H. Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care. Heart Online First, published on August 31, 2016. doi 10.1136/heartjnl-2016-309910.
Asaria, M A, Walker S, Palmer, S, Gale C, Shah A, Abrams K Crowther M, Manca A, Timmis A, Hemingway H, Sculpher M. Using electronic health records to predict costs and outcomes in stable coronary artery disease. Heart 2016 Feb 10. pii: heartjnl-2015 308850. doi: 10.1136/heartjnl-2015-308850. [Epub ahead of print]
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. 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. PLOS ONE 2016; April 22. doi: 10.1371/journal.pone.0153838
Pujades-Rodriguez M, Duyx B, Thomas S L, Stogiannis D, Smeeth S, Hemingway H. Associations between polymyalgia rheumatica and giant cell arteritis and 12 cardiovascular diseases. Heart 2016; 102(5):383-9, published online 9 Jan. doi:10.1136/heartjnl-2015-308514
Pujades-Rodriguez M, Duyx B, Thomas SL, Stogiannis D, Rahman A, Smeeth L, Hemingway H. Rheumatoid arthritis and incidence of twelve initial presentations of cardiovascular disease: a population record-linkage cohort study in England. PLOS ONE 2016; March 15. doi: 10.1371/journal.pone.0151245
Rothnie KJ, Smeeth L, Pearce N, Herrett E, Timmis A, Hemingway H, Wedzicha J, Quint JK. Predicting mortality after acute coronary syndromes in people with chronic obstructive pulmonary disease. Heart 2016. Published online May, 13. doi:10.1136/heartjnl-2016-309359.
Sekhri N, Perel P, Clayton T, Feder GS, Hemingway H, Timmis A. R1 - A 10-year prognostic model for patients with suspected angina attending a chest pain clinic. Heart 2016;0:1–7. doi:10.1136/heartjnl-2015-308994.
Shah AD, Denaxas S, Nicholas O, Hingorani AD, Hemingway H. Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study. Open Heart. 2016; 3(2): e000477. doi: 10.1136/openhrt-2016-000477.
Timmis A, Rapsomaniki E, Chung S-C, Pujades-Rodriguez, M, Moayyeri A, Stogiannis D, Shah AD, Pasea L, Denaxas S, Emmas C, Hemingway H. Prolonged dual antiplatelet therapy in stable coronary disease: comparative observational study of benefits and harms in unselected versus trial populations. BMJ 2016;353:i3163. doi:http://dx.doi.org/10.1136/bmj.i3163 (Published 22 June 2016)
Walker S, Asaria M, Manca A, Palmer S, Gale CP, Shah AD, Abrams K, Crowther M, Timmis A, Hemingway H, Sculpher S. Long term health care use and costs in patients with stable coronary artery disease: a population based cohort using linked health records (CALIBER). EHJ: QCCO 2016; published online 20 Jan. doi:10.1093/ehjqcco/qcw003.
Brauer R, Smeeth L, Anaya-Izquierdo K, Timmis A, Denaxas SC, Farrington CP, Whitaker H, Hemingway H, Douglas I. Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study. Eur Heart J 2015; 015 Apr 21;36(16):984-92. doi: 10.1093/eurheartj/ehu263.
Chung S-C, Sundström J, Gale CP, James S, Deanfield J, Wallentin L, Timmis A, Jernberg T, Hemingway H. Comparison of hospital variation in acute myocardial infarction care and outcome between Sweden and United Kingdom: population based cohort study using nationwide clinical registries. BMJ 2015;351:h3913. [Epub ahead of print]. doi: http://dx.doi.org/10.1136/bmj.h3913
George J, Rapsomaniki E, Pujades-Rodriguez M, Shah AD, Denaxas S, Herrett E, Smeeth L, Timmis A, Hemingway H. How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People. Circulation 2015; 132: 1320–8. doi:10.1161/CIRCULATIONAHA.114.013797.
Rothnie KJ, Smeeth L, Herrett E, Pearce N, Hemingway H, Wedzicha J, Timmis A, Quint JK. Closing the mortality gap after a myocardial infarction in people with and without chronic obstructive pulmonary disease. Heart 2015; Published Online First:13 Mar. doi:10.1136/heartjnl-2014-307251
Chung S-C, Gedeborg R, Nicholas O, James S, Jeppson A, Wolfe C, Heuschmann P, Wallentin L, Deanfield J, Timmis T, Jernberg T, Hemingway H. Acute myocardial infarction: a comparison of short-term survival in national outcome registries in Sweden and the UK. The Lancet 2014; 383(9925):1305-12. doi: 10.1016/S0140-6736(13)62070-X.
Herrett E, Bhaskaran K, Timmis A, Denaxas S, Hemingway H, Smeeth L. Association between clinical presentations before myocardial infarction and coronary mortality: a prospective population-based study using linked electronic records. Eur Heart J 2014; 35(35):2363-71. doi:10.1093/eurheartj/ehu286
Morley KI, Wallace J, Denaxas SC, Hunter RJ, Patel RS, Perel P ... Hemingway H. Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. PLoS One 2014; 9(11):e110900-. doi:10.1371/journal.pone.0110900
Pujades-Rodriguez M, George J, Shah AD, Rapsomaniki E, Denaxas S, West R ... Hemingway H. Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1 937 360 people in England: lifetime risks and implications for risk prediction. Int J Epidemiol 2014; Nov 20. [Epub ahead of print]. doi:10.1093/ije/dyu218
Pujades-Rodriguez, Timmis A, Stogiannis D, Rapsomaniki E, Denaxas S, Shah A, Feder G, Kivimaki M, Harry Hemingway H. Socioeconomic Deprivation and the Incidence of 12 Cardiovascular Diseases in 1.9 Million Women and Men: Implications for Risk Prediction and Prevention. PLoSOne 2014; 9(8): e104671. doi: 10.1371/journal.pone.0104671
Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, White IR, Caulfield MJ, Deanfield JE, Smeeth L, Williams B, Hingorani A, Hemingway H. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. The Lancet 2014; 383(9932):1899 –911. doi: 10.1016/S0140-6736(14)60685-1.
Shah AD, Bartlett JW, Carpenter J, Nicholas O, Hemingway H. Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study. Am J Epidemiol. 2014; Mar 15;179(6):764-74. doi: 10.1093/aje/kwt312. Epub 2014 Jan 12.
Shah AD, Bartlett J, Hemingway H, Nicholas O, Hingorani H. CALIBERrfimpute: Imputation in MICE using Random Forest (Version 0.1-6) [Software]. 2014. Online: Comprehensive R Archive Network. https://cran.r-project.org/web/packages/CALIBERrfimpute/index.html
Shah AD, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, Deanfield J, Smeeth L, Timmis A, Hemingway H. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people. Lancet Diabetes Endocrinol 2014; Nov 11. pii: S2213-8587(14)70219-0. [Epub ahead of print]. doi: 10.1016/S2213-8587(14)70219-0.
Herrett E, George J, Denaxas S, Timmis AD, Hemingway H, Smeeth L. Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes. European Heart Journal – Acute Cardiac Care (ACC) 2013: 2(3):235–45. doi:10.1177/2048872613487495
Herrett E, Shah AD, Boggon R, Denaxas S, Smeeth L, van Staa T, Timmis A, Hemingway H. Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. BMJ 2013; 346:f2350. doi:10.1136/bmj.f2350
Quint, J. K., Herrett, E., Bhaskaran, K., Timmis, A., Hemingway, H., Wedzicha, J. A., & Smeeth L. Effect of β blockers on mortality after myocardial infarction in adults with COPD: population based cohort study of UK electronic healthcare records. BMJ 2013; Nov 22;347:f6650. doi: 10.1136/bmj.f6650.
Rapsomaniki E, Shah A, Perel P, Denaxas S, George J, Nicholas O, Udumyan R, Feder GS, Hingorani AD, Timmis A, Smeeth L, Hemingway H. Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. Eur Heart J. 2013 Dec 17. doi:10.1093/eurheartj/eht533 [Epub ahead of print]
Shah, A. D., Herrett, E., Boggon, R., Denaxas, S., Smeeth, L., van Staa, T., . . . Hemingway, H. Accuracy of recording acute myocardial infarction events. Authors' reply to Stevens and McManus. BMJ 2013;346. doi:10.1136/bmj.f3741
Boggon R, Timmis A, Hemingway H, Raju S, Malvestiti FM, Van Staa TP. Smoking cessation interventions following acute coronary syndrome: a missed opportunity? Eur J Prev Cardiol 2012 Sept 5;21(6):767–73. doi: 10.1177/2047487312460517.
Denaxas SC, George J, Herrett E, Shah AD, Kalra D, Hingorani AD, Hemingway H. Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). Int J Epidemiol 2012; 41 (6), 1625–38. doi:10.1093/ije/dys188.
Douglas IJ, Evans SJW, Hingorani AD, Grosso AM, Timmis A, Hemingway H, Smeeth L. Clopidogrel and interaction with proton pump inhibitors: comparison between cohort and within person study designs. BMJ 2012; 345, e4388–e4388. doi: 10.1136/bmj.e4388.
Shah AD, Martinez C, Hemingway H. The Freetext Matching Algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records. BMC Medical Informatics and Decision Making 2012; 12(88). doi: 10.1186/1472-6947-12-88.
Wang Z, Shah AD, Tate AR, Denaxas S, Shawe-Taylor J, Hemingway H. Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. (V. Brusic, Ed.) PLoS ONE 2012; 7(1), e30412. doi: http://dx.doi.org/10.1371/journal.pone.0030412.
Warren-Gash C, Hayward AC, Hemingway H, Denaxas S, Thomas SL, Timmis AD et al. Influenza Infection And Risk of Acute Myocardial Infarction in England & Wales: A CALIBER Self-Controlled Case Series Study. Journal of Infectious Diseases 2012 Dec; 206(11): 1652–9. doi: 10.1093/infdis/jis597.
Boggon R, van Staa TP, Timmis A, Hemingway H, Ray KK, Begg A, Emmas C et al. Clopidogrel discontinuation after acute coronary syndromes: frequency, predictors and associations with death and myocardial infarction--a hospital registry-primary care linked cohort (MINAP-GPRD). Eur Heart J 2011; 32(1522–9645 (Electronic)), 2376–86. doi: 10.1093/eurheartj/ehr340.
Shah AD, Nicholas O, Timmis AD, Feder G, Abrams KR, Chen R, Hingorani AD, Hemingway H. Threshold haemoglobin levels and the prognosis of stable coronary disease: two new cohorts and a systematic review and meta-analysis. PLoS Med 2011 May; 8(5): e1000439. doi: http://dx.doi.org/10.1371/journal.pmed.1000439. Epub 2011 May 31.