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Peter Rijnbeek, PhD

Associate Professor Health Data Science

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Background

Dr. Rijnbeek is Associate Professor Health Data Science and is the lead of the HDS group at the Department of Medical Informatics of the Erasmus MC, The Netherlands. He obtained his MSc (1996) in Electrical Engineering at the Technical University Delft. His PhD thesis, received from the Erasmus University Rotterdam, was on the development of a computer program to automatically interpret pediatric electrocardiograms.  His PhD topic was on computerized interpretation of the paediatric electrocardiogram (ECG). This work included research in machine learning algorithms for exhaustive search that learn optimal decision rules to support the cardiologist. The HDS team has a leading role in the Observational Health Data Sciences and Informatics (OHDSI) initiative. OHDSI is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics led by Columbia University. The data is stored in a common data model (CDM) to allow uniform and transparent analysis. Dr. Rijnbeek is leading the European OHDSI community that is working on the standardization of European databases to the CDM. His team addresses issues that deal with the quality of data, the translation of data to other formats, and the mechanisms to access data in a federated fashion. He is  the coordinator of the large European Health Data and Evidence Network (EHDEN) IMI project that builds a federated network of health data bases across Europe. Once stored in the CDM, the data can be used to build and validate predictive models, perform large-scale characterisation, and population-level effect estimation studies. The HDS Group is performing methods research in all these domains and is applying these approaches in network studies.  For example, for the research in the field of patient-level prediction, HDS is leading a patient-level prediction working group that includes data scientists from leading universities in the field and co-developed a framework for patient-level prediction models.

Teaching

  • Teaches data science to students of the “Klinische Technology” Master of Science program. This course aims to provide students the fundamentals of machine learning in a medical context. The course includes practical exercises that focus on the development of clinical prediction models. Ideally, this course is further extended to a full curriculum on health data science to teach all medical students at the Erasmus MC the basics of this exciting multidisciplinary field.
  • Teaches courses on the OMOP-CDM and Patient-Level Prediction to researchers, regulators, and pharmaceutical companies. These courses explain the fundamentals of developing prediction models and how to apply them in a clinical context.
  • Teaches data science to students in epidemiology at the yearly summer school of Oxford University, UK.

Invited Lectures

  • Santeon Hospital Group, Nijkerk, 2020
  • SNOMED Meeting Nictiz, Den Haag, 2020
  • Zorg Instituut Nederland, Diemen, 2020
  • Erasmus Value Based Health Care Course, Rotterdam, 2020 
  • European Commission, Towards the European Health Data Space, Lisbon, 2020
  • Stakeholder Meeting Innovative Medicines Initiative, Brussels, 2020
  • OHDSI Symposium, South Korea, 2020
  • Real World Epidemiology Summer Course, Oxford University, London, 2019
  • European Medicines Agency, Amsterdam, 2019
  • Drug Information Association, Vienna, 2019
  • OHDSI Europe Symposium, Rotterdam, 2019
  • Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, Dortmund, 2019
  • Real World Epidemiology Summer Course, Oxford University, London, 2018
  • Big Data for Pharmacovigilance Conference, Drug Safety Research Unit London, 2018
  • Liberating Evidence from European Data Conference, Brussel, 2018
  • Common Data Model for Europe Meeting, European Medicines Agency, London, 2017
  • International Symposium on Data-Driven Healthcare, Singapore, 2017
  • Conference on Signal Detection and Interpretation in Pharmacovigilance, Drug Safety Research Unit, London, 2017
  • Real World Data and Pharmacoepidemiology Forum, Vienna, 2017
  • European institute for innovation through health data symposium, Madrid, 2017
  • Real World Epidemiology Summer Course Oxford University, London, 2017
  • Asia Pacific Conference on Learning Health System, Taiwan, 2017
  • OHDSI Symposium, Washington, 2016Real world evidence meeting, Buenos Aires, 2016
  • International Society of Hypertension, South Korea, 2016
  • OHDSI Symposium, Patient-Level Prediction, South Korea, 2016

Publications

Preprints

  • Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek. The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies. Preprint July 2020. https://arxiv.org/abs/2007.15911
  • Luis H. John, Jan A. Kors, Jenna M. Reps, Patrick B. Ryan, Peter R. Rijnbeek. How little data do we need for patient-level prediction?. Preprint Aug 2020. https://arxiv.org/abs/2008.07361 
  • Ross D. Williams, Aniek F. Markus, Cynthia Yang, .. , Peter Rijnbeek. Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network. Preprint. medRxiv 2020.05.26.20112649; doi:https://doi.org/10.1101/2020.05.26.20112649
  • Jenna M Reps, Chungsoo Kim, Ross D. Williams, .., Peter Rijnbeek. Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets. Preprint. medRxiv 2020.06.15.20130328; doi:https://doi.org/10.1101/2020.06.15.20130328

Peer-reviewed publications

  • Lane JCE, Weaver J, Kostka K,..,Rijnbeek P, et al. Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study [published online ahead of print, 2020 Aug 21]. Lancet Rheumatol. 2020;10.1016/S2665-9913(20)30276-9. 
  • Ali MS, Berencsi K, Marinier K, Rijnbeek P, et al. Comparative cardiovascular safety of strontium ranelate and bisphosphonates: a multi-database study in 5 EU countries by the EU-ADR Alliance [published online ahead of print, 2020 Aug 5]. Osteoporos Int. 2020;10.1007/s00198-020-05580-0. doi:10.1007/s00198-020-05580-0
  • Kim Y, Tian Y, Yang J,.., Rijnbeek P, et al. Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis. Sci Rep. 2020;10(1):11115. Published 2020 Jul 6. doi:10.1038/s41598-020-68037-8
  • James G, Collin E, Lawrance M,.., Rijnbeek Pet al. Treatment pathway analysis of newly diagnosed dementia patients in four electronic health record databases in Europe [published online ahead of print, 2020 Jun 3]. Soc Psychiatry Psychiatr Epidemiol. 2020;10.1007/s00127-020-01872-2. doi:10.1007/s00127-020-01872-2
  • Reps JM, Williams RD, You SC, …, Rijnbeek P. Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Med Res Methodol. 2020;20(1):102. Published 2020 May 6. doi:10.1186/s12874-020-00991-3
  • Newby D, Prieto-Alhambra D, Duarte-Salles T, Rijnbeek P,et al. Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study. Alzheimers Res Ther. 2020;12(1):38. Published 2020 Apr 6. doi:10.1186/s13195-020-00606-5
  • Engelkes M, de Ridder MA, Svensson E, Rijnbeek P, et al. Multinational cohort study of mortality in patients with asthma and severe asthma. Respir Med. 2020;165:105919. doi:10.1016/j.rmed.2020.105919
  • Engelkes M, Baan EJ, de Ridder MAJ, .., Rijnbeek P, et al. Incidence, risk factors and re-exacerbation rate of severe asthma exacerbations in a multinational, multidatabase pediatric cohort study [published online ahead of print, 2020 Mar 1]. Pediatr Allergy Immunol. 2020;10.1111/pai.13237. doi:10.1111/pai.13237
  • Boland MR, Fieder M, John LH, Rijnbeek PR, Huber S. Female Reproductive Performance and Maternal Birth Month: A Comprehensive Meta-Analysis Exploring Multiple Seasonal Mechanisms. Sci Rep. 2020;10(1):555. Published 2020 Jan 17. doi:10.1038/s41598-019-57377-9
  • Wang Q, Reps JM, Kostka KF, .., Rijnbeek P, et al. Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network. PLoS One. 2020;15(1):e0226718. Published 2020 Jan 7. doi:10.1371/journal.pone.0226718
  • Reps, J. M., Rijnbeek, P.R., Ryan, P. B. Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status. J Biomed Infirm. 2019;97:102264. doi: 10.1016/j.jbi.2019.103264
  • Reps, J. M., Rijnbeek, P.R., Ryan, P. B. Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data. Drug Saf. 2019: epub: 2019/05/06. doi: 10.1007/s40264-019-00827-0
  • Almeida, J. R., Gini, R., Roberto, G., Rijnbeek, P., Oliveira, J. L. TASKA: A modular task management system to support health research studies. BMC Med Inform Decis Mak. 2019; 19:121. doi: 10.1186/s12911-019-0844-6
  • Alexander M, Loomis AK, Fairburn-Beech J, Van de Lei J, Duarte-Salles T,Talita Duarte-Salles, Prieto-Alhambra D, Ansell D, Pasqua A, Lapi F, Rijnbeek P, Mosseveld M, Avillach P, Egger P, Kendrick S, Waterworth DM, Sattar N, Alazaw W. Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease. BMC Medicine. 2018; 16:130. doi: 10.1186/s12916-018-1103-x. Q1, top 10%
  • Pan X, Rijnbeek P, Yan J, Shen H-B. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks. BMC Genomics. 2018;19:511. doi:10.1186/s12864-018-4889-1. Q1
  • van den Berg ME, Rijnbeek PR, Niemeijer MN, Hofman A, van Herpen G, Bots ML, et al. Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages. Front Physiol. 2018;9. doi: UNSP 424 10.3389/fphys.2018.00424. PubMed PMID: WOS:000431035900001. Q1
  • Reps JM, Schuemie MJ, Suchard MA, Ryan PB, Rijnbeek PR. Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data. J Am Med Inform Assoc. 2018. Epub 2018/05/03. doi: 10.1093/jamia/ocy032. PubMed PMID: 29718407. Q1, top 10%
  • Perera G, Pedersen L, Ansel D, Alexander M, Arrighi HM, Avillach P, Rijnbeek PR, et al. Dementia prevalence and incidence in a federation of European Electronic Health Record databases: The European Medical Informatics Framework resource. Alzheimers & Dementia. 2018;14(2):130-9. doi: 10.1016/j.jalz.2017.06.2270. PubMed PMID: WOS:000424405500002. Q1, top 10%
  • Osokogu OU, Pacurariu A, Mosseveld M, Rijnbeek P, Weibel D, Verhamme K, et al. Impact of different assumptions on estimates of childhood diseases obtained from health care data: A retrospective cohort study. Pharmacoepidem Dr S. 2018;27(6):612-20. doi: 10.1002/pds.4413. PubMed PMID: WOS:000434160600008. Q2
  • Voss EA, Boyce RD, Ryan PB, van der Lei J, Rijnbeek PR, Schuemie MJ. Accuracy of an automated knowledge base for identifying drug adverse reactions. Journal of Biomedical Informatics. 2017;66:72-81. doi: 10.1016/j.jbi.2016.12.005. PubMed PMID: WOS:000409293100007. Q2
  • Trifiro G, de Ridder M, Sultana J, Oteri A, Rijnbeek P, Pecchioli S,Rijnbeek PR, et al. Use of azithromycin and risk of ventricular arrhythmia. Can Med Assoc J. 2017;189(15):E560-E8. doi: 10.1503/cmaj.160355. PubMed PMID: WOS:000399664700003. Q1
  • Rijnbeek PR, van den Berg ME, van Herpen G, van Eck HJR, Kors JA. Validation of automatic measurement of QT interval variability. Plos One. 2017;12(4). doi: ARTN e0175087 10.1371/journal.pone.0175087. PubMed PMID: WOS:000399955200032. Q1
  • Alexander M, Loomis K, Fairburn-Beech J, van der Lei J, Duarte-Salles T, Ansell D, Rijnbeek PR, et al. Incidence and prevalence of recorded non-alcoholic fatty liver disease in four large European primary care databases covering 21.9 million adults. J Hepatol. 2017;66(1):S106-S7. doi: Doi 10.1016/S0168-8278(17)30473-7. PubMed PMID: WOS:000401056600211. Q1, top 10%
  • Roberto G, Leal I, Sattar N, Stewart R, Garcia-Gil M, Avillach P, Rijnbeek PR, et al. Standardizing Diversity of Event Definitions in Federated Networks of Heterogeneous Health Data Sources: The "Component Algorithm Strategy". Pharmacoepidem Dr S. 2016;25:165-6. PubMed PMID: WOS:000385483501275. Q2
  • Roberto G, Leal I, Sattar N, Loomis AK, Avillach P, Egger P, Rijnbeek PR, et al. Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project. Plos One. 2016;11(8). doi: ARTN e016064810.1371/journal.pone.0160648. PubMed PMID: WOS:000382877400008. Q1
  • Noordam R, van den Berg ME, Niemeijer MN, Aarts N, Hofman A, Tiemeier H, ..,Rijnbeek PR. Antidepressants and heart-rate variability in older adults: a population-based study. Psychological Medicine. 2016;46(6):1239-47. doi: 10.1017/S0033291715002779. PubMed PMID: WOS:000372513000010. Q1, top 10%                                                                                                                                                                  
  • Niemeijer MN, Leening MJG, Van den Berg ME, Hofman A, Franco OH, Deckers JW, Rijnbeek PR, et al. Subclinical Abnormalities in Echocardiographic Parameters and Risk of Sudden Cardiac Death in a General Population: The Rotterdam Study. Journal of Cardiac Failure. 2016;22(1):17-23. doi: 10.1016/j.cardfail.2015.06.007. PubMed PMID: WOS:000367967100004. Q2
  • Mor A, Froslev T, Thomsen RW, Oteri A,Rijnbeek P, Schink T, et al. Antibiotic use varies substantially among adults: a cross-national study from five European Countries in the ARITMO project (vol 43, pg 453, 2015). Infection. 2016;44(1):145-50. doi: 10.1007/s15010-015-0835-1. PubMed PMID: WOS:000369299000021. Q2
  • Coloma PM, de Ridder M, Bezemer I, Herings RMC, Gini R, Pecchioli S, Rijnbeek PR, et al. Risk of cardiac valvulopathy with use of bisphosphonates: a population-based, multi-country case-control study. Osteoporosis Int. 2016;27(5):1857-67. doi: 10.1007/s00198-015-3441-2. PubMed PMID: WOS:000374564800020. Q2
  • Chaker L, van den Berg ME, Niemeijer MN, Franco OH, Dehghan A, Hofman A, Rijnbeek PR, et al. Thyroid Function and Sudden Cardiac Death: A Prospective Population-Based Cohort Study. Circulation. 2016;134(10):713-22. doi: 10.1161/Circulationaha.115.020789. PubMed PMID: WOS:000384041300015. Q1, top 10%
  • Bezemer ID, Verhamme KMC, Gini R, Mosseveld M, Rijnbeek PR, Trifiro G, et al. Use of oral contraceptives in three European countries: a population-based multi-database study. Eur J Contracep Repr. 2016;21(1):81-7. doi: 10.3109/13625187.2015.1102220. PubMed PMID: WOS:000367601900010. Q3
  • Berencsi K, Reyes CR, Pedersen L, Coloma P, Lapi F, Simonetti M, Rijnbeek PR, et al. The Impact Of Risk Minimisation Measures On The Incidence And Prevalence Of Use Of Strontium Ranelate At The Population Level: Preliminary Results Of A Multi-National Cohort Study Including 5 European Countries. Pharmacoepidem Dr S. 2016;25:7-8. PubMed PMID: WOS:000385483501008. Q2
  • Roberto G, Leal I, Sattar N, Loomis K, Avillach P, Egger P, Rijnbeek PR, et al. Identifying Cases of Type 2 Diabetes from Heterogeneous Data Sources: Strategy from the EMIF Project. Pharmacoepidem Dr S. 2015;24:535-6. PubMed PMID: WOS:000369980201229. Q2
  • Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, van der Lei J, Pratt N, Norén GN, Li YC, Stang PE, Madigan D, Ryan PB Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. Stud Health Technol Inform. 2015;(216):574–8. 
  • Noordam R, van den Berg ME, Niemeijer MN, Aarts N, Leening MJG, Deckers JW, Rijnbeek PR, et al. Assessing Prolongation of the Heart Rate Corrected QT Interval in Users of Tricyclic Antidepressants Advice to Use Fridericia Rather Than Bazett's Correction. J Clin Psychopharm. 2015;35(3):260-5. doi: 10.1097/Jcp.0000000000000321. PubMed PMID: WOS:000353817400008. Q2
  • Niemeijer MN, van den Berg ME, Leening MJG, Hofman A, Franco OH, Deckers JW, Rijnbeek PR, et al. Declining incidence of sudden cardiac death from 1990-2010 in a general middle-aged and elderly population: The Rotterdam Study. Heart Rhythm. 2015;12(1):123-9. doi: 10.1016/j.hrthm.2014.09.054. PubMed PMID: WOS:000346857100024. Q1
  • Niemeijer MN, van den Berg ME, Franco OH, Hofman A, Kors JA, Stricker BH, Eigelsheim M, Rijnbeek PR. Drugs and ventricular repolarization in a general population: the Rotterdam Study. Pharmacoepidem Dr S. 2015;24(10):1036-41. doi: 10.1002/pds.3853. PubMed PMID: WOS:000362408900004. Q2
  • Niemeijer MN, van den Berg ME, Eijgelsheim M, Rijnbeek PR, Stricker BH. Pharmacogenetics of Drug-Induced QT Interval Prolongation: An Update. Drug Safety. 2015;38(10):855-67. doi: 10.1007/s40264-015-0316-6. PubMed PMID: WOS:000361764000003. Q1
  • Niemeijer MN, van den Berg ME, Deckers JW, Franco OH, Hofman A, Kors JA, Eijgelsheim M, Rijnbeek PR. Consistency of heart rate-QTc prolongation consistency and sudden cardiac death: The Rotterdam Study. Heart Rhythm. 2015;12(10):2078-85. doi: 10.1016/j.hrthm.2015.07.011. PubMed PMID: WOS:000361845200008. Q1, top 10%
  • Niemeijer MN, Van den Berg ME, Deckers JW, Aarnoudse ALHJ, Hofman A, Franco OH, Rijnbeek PR, et al. ABCB1 gene variants, digoxin and risk of sudden cardiac death in a general population. European Heart Journal. 2015;36:208-. PubMed PMID: WOS:000361205102166. Q1, top 10%
  • Niemeijer MN, van den Berg ME, Deckers JW, Aarnoudse ALHJ, Hofman A, Franco OH, Rijnbeek PR, et al. ABCB1 gene variants, digoxin and risk of sudden cardiac death in a general population. Heart. 2015;101(24):1973-9. doi: 10.1136/heartjnl-2014-307419. PubMed PMID: WOS:000367453900012. Q1, top 10%
  • Mor A, Froslev T, Thomsen RW, Oteri A, Rijnbeek P, Schink T, et al. Antibiotic use varies substantially among adults: a cross-national study from five European Countries in the ARITMO project. Infection. 2015;43(4):453-72. doi: 10.1007/s15010-015-0768-8. PubMed PMID: WOS:000361299000008. Q2
  • Lahousse L, Niemeijer MN, van den Berg ME, Rijnbeek PR, Joos GF, Hofman A, et al. Chronic obstructive pulmonary disease and sudden cardiac death: the Rotterdam study. European Heart Journal. 2015;36(27):1754-61. doi: 10.1093/eurheartj/ehv121. PubMed PMID: WOS:000358863200014. Q1, top 10%                                                                        
  • Italiano D, Bianchini E, Ilardi M, Cilia R, Pezzoli G, Zanettini R, Rijnbeek PR, et al. Effectiveness of risk minimization measures for cabergoline-induced cardiac valve fibrosis in clinical practice in Italy. J Neural Transm. 2015;122(6):799-808. doi: 10.1007/s00702-014-1314-z. PubMed PMID: WOS:000355344000008. Q2
  • Trifiro G, Coloma PM, Rijnbeek PR, Romio S, Mosseveld B, Weibel D, et al. Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how? J Intern Med. 2014;275(6):551-61. doi: 10.1111/joim.12159. PubMed PMID: WOS:000337787300002. Q1
  • Rijnbeek PR, van Herpen G, Bots ML, Man S, Verweij N, Hofman A, et al. Normal values of the electrocardiogram for ages 16-90 years. Journal of Electrocardiology. 2014;47(6):914-21. doi: 10.1016/j.jelectrocard.2014.07.022. PubMed PMID: WOS:000344311800024. Q2
  • Rijnbeek PR. Converting to a Common Data Model: What is Lost in Translation? (vol 37, pg 893, 2014). Drug Safety. 2014;37(12):1073-. doi: 10.1007/s40264-014-0234-z. PubMed PMID: WOS:000345391800011. Q1
  • Niemeijer MN, van den Berg ME, Eijgelsheim M, van Herpen G, Stricker BH, Kors JA, Rijnbeek PR. Short-term QT variability markers for the prediction of ventricular arrhythmias and sudden cardiac death: a systematic review. Heart. 2014;100(23):1831-6. doi: 10.1136/heartjnl-2014-305671. PubMed PMID: WOS:000345450200004. Q1
  • Masclee G, Leal I, Rijnbeek PR, Trifiro G, Sammon CJ, Bezemer I, et al. Comparison of Incidence Rates of Acute Pancreatitis and Pancreatic Cancer Among the General Population and Type 2 Diabetes Mellitus Patients Between Different Databases in the SAFEGUARD Project. Gastroenterology. 2014;146(5):S24-S. PubMed PMID: WOS:000371236400087. Q1
  • Rijnbeek PR, Van Herpen G, Bots ML, Swenne CA, Verweij N, Witteman JCM, et al. Normal limits of the adult electrocardiogram for ages 16-90 years. European Heart Journal. 2012;33:702-. PubMed PMID: WOS:000308012405171. Q1, top 10%
  • van der Putten NHJJ, Rijnbeek PR, Dijk WA, van Herpen G, Maan AC, Lipton JA, et al. Validation of Electrocardiographic Criteria for Predicting the Culprit Artery in Patients with Acute Myocardial Infarction. Comput Cardiol. 2010;37:21-4. PubMed PMID: WOS:000328956000006.
  • Rijnbeek PR, Kors JA. Finding a short and accurate decision rule in disjunctive normal form by exhaustive search. Mach Learn. 2010;80(1):33-62. doi: 10.1007/s10994-010-5168-9. PubMed PMID: WOS:000278156500002. Q2
  • Rijnbeek PR, van Herpen G, Kapusta L, ten Harkel ADJ, Witsenburg M, Kors JA. Electrocardiographic criteria for left ventricular hypertrophy in children. Pediatr Cardiol. 2008;29(5):923-8. doi: 10.1007/s00246-008-9235-y. PubMed PMID: WOS:000258760600011. Q3
  • Kors JA, Rijnbeek P, van Herpen G, Keulers PP, Hofman A, Witteman JCM. Spatial repolarization parameters for predicting cardiac death in the elderly. Journal of Electrocardiology. 2004;37:198-200. doi: 10.1016/j.jelectrocard.2004.08.057. PubMed PMID: WOS:000225456400035.
  • Wu J, Kors JA, Rijnbeek PR, van Herpen G, Lu ZY, Xu CF. Normal limits of the electrocardiogram in Chinese subjects. International Journal of Cardiology. 2003;87(1):37-51. doi: Pii S0167-5273(02)00248-6. Q2
  • Verbraak AFM, Rijnbeek PR, Beneken JEW, Bogaard JM, Versprille A. A new approach to mechanical simulation of lung behaviour: pressure-controlled and time-related piston movement. Medical & Biological Engineering & Computing. 2001;39(1):82-9. doi: Doi 10.1007/Bf02345270. PubMed PMID: WOS:000166793200013. Q2
  • Rijnbeek PR, Witsenburg M, Szatmari A, Hess J, Kors JA. PEDMEANS: A computer program for the interpretation of pediatric electrocardiograms. Journal of Electrocardiology. 2001;34:85-91. doi: DOI 10.1054/jelc.2001.28835. PubMed PMID: WOS:000173072300013. Q4
  • Rijnbeek PR,Witsenburg M, Schrama E, Hess J, Kors JA. New normal limits for the paediatric electrocardiogram. European Heart Journal. 2001;22(8):702-11. doi: 10.1053/euhj.2000.2399. PubMed PMID: WOS:000168220200014. Q1,top 10%                             
  • Rijnbeek PR, Kors JA, Witsenburg M. Minimum bandwidth requirements for recording of pediatric electrocardiograms. Circulation. 2001;104(25):3087-90. doi: DOI 10.1161/hc5001.101063. PubMed PMID: WOS:000172904300033. Q1, top 10%
  • Rijnbeek PR, Witsenburg M, Hess J, Kors JA. Continuous age-dependent normal limits for the pediatric electrocardiogram. Journal of Electrocardiology. 2000;33:199-201. doi: DOI 10.1054/jelc.2000.20312. PubMed PMID: WOS:000167095000030. Q4
  • Overbeek SE, Rijnbeek PR, Vons C, Mulder PGH, Hoogsteden HC, Bogaard JM. Effects of fluticasone propionate on methacholine dose-response curves in nonsmoking atopic asthmatics. European Respiratory Journal. 1996;9(11):2256-62. doi: Doi 10.1183/09031936.96.09112256. PubMed PMID: WOS:A1996VT87500012. Q1, top 10%

Conference Proceedings / Abstracts

  • Masclee GMC, Leal I, Scotti L, De Berardis G, Bezemer I, Gil M, Rijnbeek PR, et al. Use of Non-Insulin Blood Glucose Lowering Drugs and the Risk of Acute Pancreatitis. Pharmacoepidem Dr S. 2016;25:246-7. PubMed PMID: WOS:000385483502055. Q2
  • Leal I, Muscle G, Scotti L, De Berardis G, Bezemer I, Gil M, Rijnbeek PR, et al. Risk of Acute Myocardial Infarction Associated with Non-Insulin Blood Glucose Lowering Drugs. Results from the SAFEGUARD Project. Pharmacoepidem Dr S. 2016;25:464-5. PubMed PMID: WOS:000385483503064. Q2
  • Gil M, Romio S, Scotti L, Leal I, Masclee GMC, Schmedt N, Rijnbeek PR,et al. Risk of Hemorrhagic Stroke Associated with Non-Insulin Blood Glucose Lowering Drugs. Results from the SAFEGUARD Project. Pharmacoepidem Dr S. 2016;25:429-. PubMed PMID: WOS:000385483503003. Q2
  • Verhamme K, Engelkes M, De Ridder M, Svensson E, Berencsi K, Prieto-Alhambra D, Rijnbeek PR, et al. Risk Factors Of Severe Asthma Exacerbations: A Real World Study. Am J Resp Crit Care. 2016;193. PubMed PMID: WOS:000390749600711. Q1,top 10%
  • Niemeijer MN, van den Berg ME, Hofman A, Franco OH, Uitterlinden AG, Kors JA, Rijnbeek PR, et al. A CACNA1C Variant Is Associated with a Modified Response of Heart Rate in Users of Calcium Channel Blockers: The Rotterdam Study. Pharmacoepidem Dr S. 2015;24:201-2. PubMed PMID: WOS:000369980200350. Q2
  • Niemeijer MN, van den Berg ME, Deckers JW, Aarnoudse ALHJ, Hofman A, Franco OH, Rijnbeek PR, et al. ABCB1 Gene Variants, Digoxin, and Risk of Sudden Cardiac Death in a General Population. Pharmacoepidem Dr S. 2015;24:200-1. PubMed PMID: WOS:000369980200349. Q2
  • Leal I, Sammon C, Masclee GMC, Scotti L, De Berardis G, Bezemer I, Rijnbeek PR, et al. Trends of use of non-insulin blood glucose lowering drugs in Europe and USA. Pharmacoepidem Dr S. 2015;24:106-7. PubMed PMID: WOS:000369980200184. Q2
  • Leal I, Sammon C, Masclee GMC, Corrao G, De Berardis G, Bezemer I, Rijnbeek PR, et al. Patterns of use of incretin-based therapies in Europe and USA. Pharmacoepidem Dr S. 2015;24:106-. PubMed PMID: WOS:000369980200183. Q2
  • Trifiro G, Oteri A, de Ridder M, Rijnbeek P, Pecchioli S, Mazzaglia G, et al. Association of Azithromycin and Ventricular Arrhythmia: the ARITMO Project. Pharmacoepidem Dr S. 2014;23:189-90. PubMed PMID: WOS:000342763600358. Q2
  • Leal I, Masclee GMC, Scotti L, De Berardis G, Bezemer I, Gil M, Rijnbeek PR,et al. Identification of Type 2 Diabetes Mellitus in Different Electronic Databases Within the SAFE-GUARD Project. Pharmacoepidem Dr S. 2014;23:193-4. PubMed PMID: WOS:000342763600365. Q2
  • Coloma PM, de Ridder M, Rijnbeek P, Mosseveld M, Bezemer I, Herings RMC, et al. Risk of Cardiac Valve Disorders with Use of Bisphosphonates. Pharmacoepidem Dr S. 2014;23:380-1. PubMed PMID: WOS:000342763600704. Q2
  • Sturkenboom MC, Trifiro G, Pariente A, Rijnbeek P, Shakir S, Garbe E. ARITMO Final Results: Prediction of the Arrhythmogenic Risk of Antihistamines, Antipsychotics and Anti-Infectives by Integration of Translational Evidence. Pharmacoepidem Dr S. 2013;22:368-9. PubMed PMID: WOS:000334876101302. Q2
  • Singh B, Ayala G,Rijnbeek PR, van Mulligen EM, Kors JA, Sturkenboom MCJM. Automated Information Retrieval for Constructing Evidence-Based Pediatric Formularies. Pharmacoepidem Dr S. 2013;22:347-. PubMed PMID: WOS:000334876101260. Q2
  • Seeger JD, Romio S, Varas-Lorenzo C, Scotti L, Arfe A, Zambon A, Rijnbeek PR, et al. Total Mortality Rates across Multiple Databases: Benchmarking Results from a Distributed Data Network - The SAFEGUARD Project. Pharmacoepidem Dr S. 2013;22:319-. PubMed PMID: WOS:000334876101207. Q2
  • Scotti L, Arfe A, Zambon A, Romio S, Schmedt N, De Berardis G, Rijnbeek PR, et al. Harmonization of Outcome Extraction for Heart Failure Across Data Sources in the SAFEGUARD Project. Pharmacoepidem Dr S. 2013;22:278-. PubMed PMID: WOS:000334876101131. Q2
  • Schmedt N, Gil M, Martin E, Requena G, Bezemer I, De Berardis G, Rijnbeek PR, et al. Harmonization of Outcome Extraction for Ischemic and Hemorrhagic Stroke Across Data Sources in the SAFEGUARD Project. Pharmacoepidem Dr S. 2013;22:307-. PubMed PMID: WOS:000334876101184. Q2
  • Sammon CJ, De Berardis G, Nicolucci A, Bezemer I, Requena G, Gil M, Rijnbeek PR, et al. Harmonisation of Event Definitions across Electronic Healthcare Databases; Pancreatic and Bladder Cancer as a Case Study. Pharmacoepidem Dr S. 2013;22:306-. PubMed PMID: WOS:000334876101182. Q2
  • Rijnbeek PR, van der Lei J, Sturkenboom MCJM. A Remote Research Environment for Collaborative Drug Safety Studies: The OCTOPUS Infrastructure. Pharmacoepidem Dr S. 2013;22:303-4. PubMed PMID: WOS:000334876101178. Q2
  • Niemeijer MN, van den Berg ME, Eijgelsheim M, Kors JA, Stricker BH, Rijnbeek P. Beat-to-Beat Variability of the QT Interval: A Systematic Review. Pharmacoepidem Dr S. 2013;22:329-. PubMed PMID: WOS:000334876101225. Q2
  • Masclee GMC, Sturkenboom MCJM, Leal IA, De Berardis G, Bezemer I, Gil M, Rijnbeek PR,et al. Harmonization of Acute Myocardial Infarction Identification from Different Databases in the SAFEGUARD Project. Pharmacoepidem Dr S. 2013;22:276-. PubMed PMID: WOS:000334876101127. Q2
  • Masclee GMC, Romio S, Leal IA, De Berardis G, Bezemer I, Gil M, Rijnbeek PR, et al. Harmonization of Diagnoses for Acute Pancreatitis Identification from Different Databases in the SAFEGUARD Project. Pharmacoepidem Dr S. 2013;22:275-. PubMed PMID: WOS:000334876101126. Q2
  • Leal I, Ehrenstein V, Ulrichsen S, Li L, Rungby J, Rijnbeek P, et al. Monitoring the Effectiveness of Risk Minimisation in Patients Treated with Pioglitazone-Containing Products in Europe. Drug Safety. 2013;36(9):809-. PubMed PMID: WOS:000324664400044. Q1
  • Gini R, Ryan PB, Brown JS, Vacchi E, Coppola M, Cazzola W, Rijnbeek PR, et al. Comparison among EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies for Data Extraction and Management. Pharmacoepidem Dr S. 2013;22:189-90. PubMed PMID: WOS:000334876100365. Q2
  • Bezemer ID, Verhamme KMC, Gini R, Mosseveld MBMT, Rijnbeek PR, Sturkenboom MCJM, et al. User and Treatment Characteristics of Oral Contraceptives in the European Union. Pharmacoepidem Dr S. 2013;22:416-. PubMed PMID: WOS:000334876101392. Q2
  • Bezemer ID, Verhamme KM, Gini R, Mosseveld M, Rijnbeek PR, Sturkenboom MC, et al. User and Treatment Characteristics of Oral Contraceptives in the European Union. Value Health. 2013;16(7):A340-A. doi: DOI 10.1016/j.jval.2013.08.105. PubMed PMID: WOS:000326247600095. Q2
  • Ten Harkel DJ, Van Rijn K, Rijnbeek P, Cransberg K. Increased QTc dispersion in pediatric renal transplant patients. Pediatr Transplant. 2007;11:107-. PubMed PMID: WOS:000246659800311. Q4