Observational Data Standards and Management
Posters
Alone we can do so little, together we can map so much (Kristine Lynch, Elizabeth Hanchrow, Elise Gatsby, Benjamin Viernes, Daniel Park, Scott L DuVall, Michael E Matheny)
Analysis of Unit Tests for Source to Target Enhance-Transfer-Load Code: MIMIC Use Case and Generalization (Vojtech Huser)
Analysis on Common OMOP Conversion Hiccups and ETL Challenges (Xialin Wang, Jing Li, Mui Van Zandt, Frank DiMartini, Anthony Reckard, Qi Yang)
Assessing eMERGE Common Data Elements on the All of Us Data (Xinzhuo Jiang, Ning Shang, Anna Ostropolets, Chunhua Weng, Karthik Natarajan)
Clinical trial data conventions for the OMOP Common Data Model (Chris Roeder, Katy Sadowski, Maxim Moinat, Philip Solovyev, Sonia Araujo) * recipient of 2020 Best Contribution in Observational Data Standards and Management
Comprehensive Multiaxial Hierarchy of Psychiatric and Neurological Assessment Tools in OMOP CDM (Dmitry Dymshyts, Andrew Williams, Christian Reich, Haoyan Cai, Emma Cable, Qi Yang, Mui Van Zandt, Jeremy Leigh, Kristin Kostka, Dongyun Lee, Xinwei Zhang, Torre, Carmen Olga, Jenna Reps, Eunyoung A. Lee)
Conversion of National Veteran Affair Health Cost Data into the OMOP CDM: Preliminary Transformation (Aize Cao, Liam Rose, Todd H. Wagner, Sharidan K. Parr, Kristine E. Lynch, Scott L. DuVall, Michael E. Matheny)
Enabling Transparency Across a Global Data Network (Clair Blacketer, Mui Van Zandt, Jose Posada, Nigam Shah, Seojeong Shin, Gyeol Song, Yunpeng Li, Mornin Feng, Marcel De Wilde, Peter Rijnbeek)
Eureka – Finding a way to harvest the data in the medicinal product information (Luis Pinheiro, Jan Kors, Peter Rijnbeek)
Evaluating the transformation of UK national linked electronic health records to the OMOP CDM (Vaclav Papez, Maxim Moinat, Richard Dobson, Folkert Asselbergs, Spiros Denaxas)
Fake News in the Rush to Inform on COVID-19: How Research Retractions Can Inform Best Practices for Real-World Data Quality and Reporting (Rachael DiSantostefano, Erica Voss, Clair Blacketer)
First steps with OMOP CDM for COVID-19 data in Madrid Region (Maria Teresa Garcia Morales, Noelia García Barrio, Miguel Pedrera Jimenez, Pablo Serrano Balazote, Luis Sánchez Perruca, Montserrat Hernández Pascual, Agustín Gómez de la Cámara)
Genomic Data Harmonization through the OMOP Standardized Vocabularies (Denys Kaduk, Violetta Komar, Asieh Golozar, Peter Robinson, Alex H. Wagner, Michael Gurley, Seng Chan You, Shin Seojeong, Shaadi Mehr, Andrew Williams, Rimma Belenkar, Meera Patel, Shilpa Ratwani, Ron Miller, Christian Reich)
Improving the FAIR level of OHDSI studies using interoperable metadata standards on a pilot website (Emma Vos, Jolanda Strubel, Kees van Bochove, Tess Korthout, Peyman Mohtashami, Ilaria Maresi, Maxim Moinat)
Incorporation of CVX Vaccines into OMOP Drug Hierarchy (Violetta Komar, Dmitry Dymshyts, Polina Talapova, Yevhenii Bezeha, Christian Reich, Aleksander Davydov)
Integrating Electronic Health Records and Survey Data of a Type-2 Diabetes Cohort in Singapore using OMOP CDM (Selva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang, Su Chi Lim, MBBS, Yi-Ming Shao, E Shyong Tai, Mengling Feng)
Integration and aggregation of Anesthesia into the OMOP CDM: proposal aggregation methods (Mathilde Fruchart, Adrien Parrot, Nicolas Paris, Mouhamed Moussa, Niels Martignene, Antoine Lamer)
Mapping Custom Source Codes to Standard Concepts: A Comparison of Two Approaches (Melanie M. Philofsky)
Mapping the Article 57 Database from the European Medicines Agency containing all medicines authorized in the European Economic Area (Marcel de Wilde, Mees Mosseveld, Steven Le Meur, Sofia Zastavnik, Gianmario Candore, Peter Rijnbeek)
Mapping to standardised vocabularies: a process for drug codes in Australia (Jodie Hillen, Nicole Pratt, Ty Stanford)
NCCD – RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary (Yaoyun Zhang, Jing Li, Mui Van Zandt)
OHDSI CDM as a Data Translation Engine (DTE), A Use Case Example led by the Center for International Blood and Marrow Transplant Research (CIBMTR) (Robinette Renner, Kristina Bloomquist, Christian Reich, Kristin Kostka, Ben Smith, Trent Peterson)
OMOP2OBO: Semantic Integration of Standardized Clinical Terminologies to Power Translational Digital Medicine Across Health Systems (Tiffany Callahan, Michael Kahn)
Pathways for advanced transformation of CDISC SDTM data sets into OMOP CDM (Michael Kallfelz, Alexander Davydov Alexandra Orlova, Eva-Maria Didden, Rose Ong, Patricia Biedermann, Graham Wetherill, Gregory Klebanov)
Phenotype algorithm and data source reporting in top clinical journals: where we are and where should we go? (Anna Ostropolets, RuiJun Chen, Matthew Spotnitz, Runsheng Wang, Patrick Ryan, George Hripcsak)
Quality assessment of vaccine concepts in OMOP common data model (Yupeng Li, Adam Black, Gretchen A. Baltus, Carolyn Cho, Vasu Chandrasekaran, Erik Dasbach, Lixia Yao)
Sharing is Caring – A Checklist to Facilitate ETL Dissemination and Replication (Clair Blacketer, Erica Voss)
SNOMED CT Disease Hierarchies and the Charlson Comorbidity Index (CCI): An analysis of OHDSI methods for determining CCI (Benjamin Viernes, Kristine E. Lynch, Brian Robison, Elise Gatsby, Scott L DuVall, Michael E Matheny)
Standardizing the Tissue and Data Acquisition Protocol (TDAP) Dataset using the Observational Health Data Sciences and Informatics Common Data Model (Desiree Unselt, Ravi Sanka, Seth Schobel, William Andy MacKelfresh, Eric A. Elster)
The Australian Transformational Data Collaboration (TDC): Supporting the uplift of datasets in Australia to the OMOP CDM (Dougie Boyle, Roger Ward, Daniel Capurro, Jitendra Jonnagaddala, Teng Liaw, Nicole Pratt)
The Hierarchical Crosswalk Between LOINC and SNOMED CT for Laboratory Procedures (Polina Talapova, Timur Vakhitov)
Towards comprehensive and non-redundant Cancer diagnosis and treatment in the OMOP Standardized Vocabularies (Vladislav Korsik, Dmitry Dymshyts, Michael Kallfelz, Rimma Belenkaya, Michael Gurley, Christian Reich)
Transformation of an Israeli medical centers network to OMOP CDM (Nadav Rappoport, Nir Makover, Guy Livne, Binyamin Abu, Sivan Ran, Robyn Robin, Gil Frenkel, Tomer Hadad, Naama Perry-Cohen)
Use of electronic health records to evaluate treatment pathways – a Common Data Model approach (Tan Hui Xing, Cynthia Sung, Chahed Haroun, Ang Pei San, Tan Su Yin Doreen, Dorajoo Sreemanee Raaj, Teo Chun Hwee Desmond)
Lightning Talks (presenter in bold)
EHDEN Academy – a global educational collaboration with OHDSI (Nige Hughes, Peter Rijnbeek, Henrik John)
Lessons Learned Converting Patient Level Data to the OMOP Common Data Model to Support the COVID-19 Crisis (Erica A Voss, Martijn J Schuemie, Peter R Rijnbeek)
OMOP Cancer Model – Making the OMOP Common Data Model fit for Cancer Research (Rimma Belenkaya, Michael J Gurley, Asieh Golozar, Dmitry Dymshyt, Robert T. Miller, Andrew E Williams, Shilpa Ratwani, Anastasios Siapos, Vladislav Korsik, Jeremy Warner,W. Scott Campbell, Donna Rivera, Tatiana Banokina, Elizaveta Modina, Shantha Bethusamy, Henry Morgan Stewart, Meera Patel, Ruijun Chen, Thomas Falconer, Rae Woong Park, Seng Chan You, Hokyun Jeon, Soe Jeong Shin, Christian Reich)
Methodological Research
Posters
A Clinical Trial Derived Reference Set for Evaluating Observational Study Methods (Ethan Steinberg)
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction (Stephen R. Pfohl, Agata Foryciarz, Nigam H. Shah)
Comparative Effectiveness of Famotidine in Hospitalized COVID-19 Patients (Azza Shoaibi, Stephen Fortin, Rachel Weinstein, Jesse A. Berlin, Patrick Ryan)
Comparison of cardinality matching and propensity score matching for population-level estimation in observational studies (Stephen Fortin, Stephen Johnston, Martijn Schuemie)
Distributed Learning from Electronic Health Records Across Multiple Sites for Zero-Inflated Count Outcomes (Mackenzie Edmondson, Chongliang Luo, Rui Duan, Mitchell Maltenfort, Justine Shults, Patrick B. Ryan, Christopher B. Forrest, Yong Chen)
Empirical comparison of techniques to evaluate internal performance of PatientLevelPrediction (Jenna M. Reps)
Estimating the effect of postpartum depression treatment on child development using non-OMOP data and OHDS analytic tools (Chen Yanover, Guy Amit, Irena Girshovitz, Karni Marcus, Nir Kalkstein, Pinchas Akiva)
Evaluating Covariate Lookback Times and the Impact on Performance of Patient Level Prediction Models (Jill H. Hardin, Jenna M. Reps)
Evaluation of Negative Control Selection as Method to Control for Systematic Bias in REal-World Assessment of Drug Benefits (REWARD-B) Platform (Rachel Teneralli, James P. Gilbert, Christopher A. Knoll, David M. Kern, Patrick B. Ryan, M Soledad Cepeda)
Expanding the Reach of EHR through Data Integration (Yong Chen, Rui Duan, Chongliang Luo, Jiayi Tong, Mackenzie Edmondson, Hua Xu, Patrick Ryan, Martijn Schuemie)
Interpreting diagnostics to assess threats to valid causal inference: a comparative safety study of cardiovascular outcomes among patients treated for castration-resistant prostate cancer (Mitchell Conover, Mitchell M. Conover, James Weaver, Dina Gifkins)
Leveraging the OHDSI vocabulary to characterize the COVID-19 epidemic using Twitter data and NLP (Juan Banda, Ramya Tekumalla)
Measuring Concordance of Drug Class-to-Class Comparison (Joshua D. Ide, Liyuan Ma)
Noisy-Or Risk Allocation: A Probabilistic Model for Attributable Risk Estimation (Amelia Averitt, Adler Perotte) * recipient of 2020 Best Contribution in Methodological Research
OMOP CDM compared to ContSys (ISO13940) to make data FAIR (Rowdy de Groot, Ronald Cornet, Nicolette de Keizer, Nirupama Benis, Ferishta Raiez)
Personalised prediction of the time to the first relapse for Relapsing Remitting Multiple Sclerosis (Iris Nonneman, W. Karman, K. Antonio, V. Tozzi, J. Krijgsman van Spangenberg)
Quality registry data represented in the OMOP CDM (Rowdy de Groot, Ronald Cornet, Benis, Ferishta Raiez)
The Extract-Transform-Load Lessons for Loading Neonatal Healthcare Data to the OMOP-CDM (Bei Li, Sifei Han, Lingyun Shi, Lezhou Wu, Fuchiang(Rich) Tsui)
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures (Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak)
Towards applying a time-aware Bert model to structured EHR records to generate contextualized concept embeddings (Chao Pang, Krishna S. Kalluri, Xinzhuo Jiang, Karthik Natarajan)
Use of unstructured text data in electronic health records to improve patient-level prediction models (Tom Seinen, Jan A. Kors, Erik M. van Mulligen, Peter R. Rijnbeek)
Lightning Talks
Covariate Balance of Potential Unmeasured Confounding Using Large-scale Propensity Score Modeling (RuiJun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak)
Developing a Benchmark for Empirically Evaluating the Performance of Phenotype Evaluation Tools (Joel Swerdel, Martijn Schuemie, Gayle Murray, Patrick B. Ryan)
Open-Source Analytics Development
Posters
COHD-COVID: Publicly Shared COVID-19 Statistics Mined from EHR Data (Junghwan Lee)
Large-scale evaluation of treatment effect heterogeneity in hypertension (Alexandros Rekkas, David Van Klaveren, Peter Rijnbeek) * recipient of 2020 Best Contribution in Open-Source Analytics Development
OHDSI ATLAS localization to support international adoption (Gregory Klebanov, Alexander Davydov, Mui VanZandt, Vitaly Koulakov, Anton Abushkevich, Dmitry Dymshyts, Rae Woong Park)
REal World Assessment and Research of Drugs Benefits (REWARD-B): A Technical implementation that aids the identification of unexpected benefits (James Gilbert, Rachel E. Teneralli, Christopher A. Knoll, David M. Kern, M Soledad Cepeda, Patrick B. Ryan)
Lightning Talks
Open Source Text de-identification Pipeline for Clinical Notes in the OMOP-CDM (Jose Posada)
Software Demos
Automation of the OMOP conversion process using an end-to-end software tool (Christian Reich, Katie Mannering, Tony Aldridge, Sonia Araujo)
Building a Data Network Dashboard for the EHDEN and OHDSI community (João Rafael Almeida, André Pedrosa, Peter R. Rijnbeek, Marcel de Wilde, Michel Van Speybroeck, Maxim Moinat, Alina Trifan, Sérgio Matos, José Luís Oliveira)
ClinEpiDB: a clinical and epidemiological data resource (Sheena Tomko, Cristina Aurrecoechea, John Brestelli, Brian P. Brunk, Danielle Callan, Dave Falke, Steve Fischer, Danica Helb, Jay Humphrey, John Judkins, Jessica C. Kissinger, Nupur Kittur, Brianna Lindsay, David S. Roos, Christian J. Stoeckert Jr, Steph Wever Schulman, Jie Zheng)
Clinical Trial Knowledge Base (CTKB) (Chi Yuan, Alex Butler, Yingcheng Sun, Chunhua Weng, Hao Liu)
Developing an empirical diagnostic to evaluate data movement (Alan A. Andryc, Clair Blacketer, Frank DeFalco, Jenna Reps, Patrick B. Ryan)
Interactive exploration of population-level effect estimation evidence and associated diagnostics (James Weaver, Martijn Schuemie, Patrick Ryan)
New Atlas features: Cohort Sample and Patient Profile (Maxim Moinat, Florence Giesen, Joris Borgdorff, Long Khoa, Keyvan Hedayati, Julia Kurps, Andries Purnal)
Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping (Hao Liu, Chi Yuan, Alex Butler, Yingcheng Sun, Chunhua Weng)
REal World Assessment and Research of Drugs Benefits (REWARD-B): A Technical implementation that aids the identification of unexpected benefits (James P. Gilbert, Rachel E. Teneralli, Christopher A. Knoll, David M. Kern, M Soledad Cepeda, Patrick B. Ryan)
Spatial Analysis Tool Based on OMOP CDM ‒ Geospatial functionality support in OHDSI ATLAS (Gregory Klebanov, Adam Black, Alexander Davydov, Christian Reich)
Xmeta-COVID19: A Comprehensive Toolbox for Advanced COVID19 Meta-analysis (Jiayi Tong)
Clinical Applications
Posters
A Comprehensive Comparative Effectiveness and Safety Study of the Second Antihypertensive Agent after Monotherapy at scale using the OHDSI AP Network (Jing Li, Yuan Lu, Sang Youl Rhee, Hua Xu, Nicole Pratt, Seng Chan You, Mui Van Zandt, Mengling Feng, Lei Liu, Ian Chi Kei Wong, Rae Woong Park, Jiyoung Hwang, Tatsuo Hiramatsu, Usman Iqbal, Yu-Chuan Li, Min-Huei Hsu, Christian Reich)
A dynamic update program for COVID-19 TestNorm – A tool to normalize COVID-19 testing names to LOINC codes (Xiao Dong, Jianfu, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu)
Characteristics and outcomes of COVID-19 patients with obesity: preliminary results of an international network study (Martina Recalde, Elena Roel; Andrea Pistillo, Anthony Sena, Kristin Kostka, Christian G. Reich, Patrick Ryan, Jose D. Posada, Nigam H. Shah, Thomas Falconer, Karthik Natarjan, Sergio Fernandez-Bertolin, Daniel Prieto-Alhambra, Talita Duarte-Salles)
Characterizing Musculoskeletal Adverse Events in Post-Menopausal Women Being Treated for Hormone Receptor Positive Breast Cancer Across the OHDSI Network: The World’s First Europe-Initiated Women of OHDSI Research Investigation (Jennifer CE Lane, Kristin Kostka, Edward Burn, Maura Beaton, Martina Recalde, Marta Pineda-Moncusi, Dominic Furniss, Christian Reich, Daniel Prieto-Alhambra)
Clinical Characterization of Trial Participants Using Electronic Health Record Data (James Rogers, Cong Liu, Ying Kuen Cheung, Chunhua Weng)
Comparative effectiveness and safety of direct ORal Anticoagulants in patients with atrial fibrillation: A Standardized Observational Data Network study (CORAZON) (Wallis CY Lau, Kenneth KC Man, Carmen Olga Torre, Henry Morgan Stewart, Sarah Seager, Mui Van Zandt, Christian Reich, Ian CK Wong)
Comparative risk of the incident cancer between ranitidine versus other histamine-2 receptor antagonists (Seng Chan You, Seung In Seo, Seo Jeong Shin, Thomas Falconer, Talita Duarte-Salles, Hyung Joon Joo, Daniel Prieto-Alhambra, Woon Geon Shin, Chan Hyuk Park, Rae Woong Park)
Comparing drug-dependent risk of self-harm in bipolar disorder using machine learning imputed outcomes (Anastasiya Nestsiarovich, Praveen Kumar, Nicolas R Lauve, Nathaniel G. Hurwitz, Aurélien J. Mazurie, Daniel C. Cannon, Yiliang Zhu, Stuart J. Nelson, Annette S. Crisanti, Berit Kerner, Mauricio Tohen, Douglas J. Perkins, Christophe G. Lambert)
Cumulative Incidence of Retinal Detachment Repair Following Cataract Surgery (Matthew Spotnitz)
Defining an appropriate “healthy” reference cohort within a network of children’s hospital health systems (PEDSnet) (Amy J. Goodwin Davies, Michelle R. Denburg, Timothy Bunnell, Peter E. F. Camacho, Charles Bailey, Melody M. Kitzmiller, Rui Xiao, Hanieh Razzaghi)
Development and Validation of Prediction Models for Respiratory Failure, Acute Renal Failure, and Readmission in Hospitalized Patients with COVID-19 (Shreyas Bhave, Victor A. Rodriguez, Ruijun Chen, Chao Pang, Sumit Mohan, Karthik Natarajan, Adler Perotte)
Phenotyping Amyloidosis Subtypes in an Observational Database (Matthew Spotnitz)
Predicting Cervical Neoplasms Among Intrauterine Device Users (Matthew E. Spotnitz, Jenna Reps, Karthik Natarajan, Carolyn L. Westhoff)
Real-world treatment patterns of newly diagnosed asthma patients (Aniek Markus, Peter Rijnbeek, Jan Kors, Guy Brusselle, Katia Verhamme)
Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel Releasing Intrauterine Device Users: Preliminary Results from a Network Analysis of Claims Databases (Matthew E. Spotnitz, Carolyn L. Westhoff, Rupa Makadia, Kristin Kostka, Henry Morgan Stewart, Patrick B. Ryan, Karthik Natarajan)
Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network (Ross D. Williams, Aniek F. Markus, Cynthia Yang, Talita Duarte Salles, Scott L. DuVall, Thomas Falconer, Jitendra Jonnagaddala, Chungsoo Kim, Dr. Yeunsook Rho, Andrew Williams, Amanda Alberga, Min Ho An María Aragón, Carlos Areia, Edward Burn, Young Hwa Choi, Iannis Drakos, Maria Tereza Fernandes Abrahão, Sergio Fernández-Bertolín, George Hripcsak, Benjamin Skov Kaas-Hansen, Prasanna L Kandukuri, Jan A. Kors, Kristin Kostka, Siaw-Teng Liaw, Kristine E. Lynch, Gerardo Machnicki, Michael E. Matheny, Daniel Morales, Fredrik Nyberg, Rae Woong Park, Albert Prats-Uribe, Nicole Pratt, Gowtham Rao, Christian G. Reich, Marcela Rivera, Tom Seinen, Azza Shoaibi, Matthew E Spotnitz, Ewout W. Steyerberg, Marc A. Suchard, Seng Chan You, Lin Zhang, Lili Zhou, Patrick B. Ryan, Daniel Prieto-Alhambra, Jenna M. Reps, Peter R. Rijnbeek)
Time to Cerebrospinal Fluid Rhinorrhea following Transsphenoidal Pituitary Resection (Matthew Spotnitz, David A. Gudis, Jonathan B. Overdevest, Karthik Natarajan)
Using Medical Dosing Across PEDSnet to Respond to Chemotherapy Sterile Injectable Drug Shortages in Pediatric Oncology (Ashley Batugo, Charles Phillips, Evanette Burrows, Daniel Eckrich, Melody Kitzmiller, Hanieh Razzaghi, Charles Bailey)
Using the OMOP CDM in the development of a multi-state model of symptomatic COVID-19 in Catalonia, Spain (Edward Burn, Cristian Tebé, Sergio Fernandez-Bertolin, Maria Aragon, Martina Recalde, Elena Roel, Albert Prats-Uribe, Daniel Prieto-Alhambra, Talita Duarte-Salles)
Lightning Talks
Depicting the diagnostic and treatment experiences of bladder cancer patients in U.S. claims data using OHDSI tools (Rupa Makadia, Urmila Chandran, Jill Hardin, Christopher Cutie)
Detailed Cancer Specific Analytics in the Remote OHDSI Network Settings (Asieh Golozar, Anastasios Siapos, Henry Morgan Stewart, Rimma Belenkaya, Michael J Gurley, Robert T. Miller, Shilpa Ratwani, Shantha Bethusamy, Meera Patel, Thomas Falconer, Ruijun Chen, Hokyun Jeon, Rae Woong Park, Seng Chan You, Andrew E Williams, Christian Reich)
OHDSI Alexa Skill for a Personalized COVID-19 Outcomes Risk Calculator (Lisa K. Evans) * recipient of 2020 Best Contribution in Clinical Applications
Predictors of diagnostic transition from major depression disorder to bipolar disorder: a retrospective observational network study (Anastasiya Nestsiarovich, MD, PhD; Jenna M. Reps, PhD (presented poster); Michael E. Matheny, MD, MS, MPH; Scott L. DuVall, PhD; Kristine E Lynch PhD; Maura Beaton, MS; Xinzhuo Jiang, MS; Matthew Spotnitz, MD, MPH; Stephen Robert Pfohl, BS; Nigham H. Shah, MBBS, PhD; Carmen Olga Torre, MS; Christian Reich, MD, PhD; Dong Yun Lee, MD; Sang Joon Son, MD, PhD; Seng Chan You, MD, MS; Rae Woong Park, MD, PhD; Patrick B. Ryan, PhD; Christophe G. Lambert, PhD (presented lightning talk)
Renin-Angiotensin System Blockers and Susceptibility to COVID-19: a Multinational Open Science Cohort Study (Daniel R. Morales, Mitchell M. Conover, Seng Chan You, Nicole Pratt, Kristin Kostka, Talita Duarte-Salles,Sergio Fernández-Bertolín, Maria Aragón, Scott L. DuVvall, Kristine E. Lynch, Thomas Falconer, Kees van Bochove, Cynthia Sung, Michael E. Matheny, Christophe G. Lambert, Fredrik Nyberg, Thamir M. Alshammari, Andrew E. Williams, Rae Woong Park, James Weaver, Anthony G. Sena, Martijn J. Schuemie, Peter R. Rijnbeek, Ross Williams, Jennifer Lane, Albert Prats-Uribe, Lin Zhang, Carlos Areia, Harlan M. Krumholz, Daniel Prieto-Alhambra, Patrick B.Ryan, George Hripcsak, Marc A. Suchard)
Towards Clinical Data-Driven Eligibility Criteria Optimization for Interventional COVID-19 Clinical Trials (Jaehyun Kim)
