Výsledky vyhledávání - "Joel N Swerdel"

Akademický článek

Comparing broad and narrow phenotype algorithms: differences in performance characteristics and immortal time incurred

Autor: Joel N. Swerdel, Mitchell M. Conover

Publikováno v: Journal of Pharmacy & Pharmaceutical Sciences, Vol 26 (2024)

Introduction: When developing phenotype algorithms for observational research, there is usually a trade-off between definitions that are sensitive or specific. The objective of this study was to estimate the performance characteristics of phenotype a

Externí odkaz: https://doaj.org/article/c7271b289750421e929c5ca753e69b31

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Akademický článek

Using a data-driven approach for the development and evaluation of phenotype algorithms for systemic lupus erythematosus

Autor: Joel N. Swerdel, Darmendra Ramcharran, Jill Hardin

Publikováno v: PLoS ONE, Vol 18, Iss 2 (2023)

Background Systemic lupus erythematosus (SLE) is a chronic autoimmune disease of unknown origin. The objective of this research was to develop phenotype algorithms for SLE suitable for use in epidemiological studies using empirical evidence from obse

Externí odkaz: https://doaj.org/article/1fc50069bcdd44b8ab4587291047b6df

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Akademický článek

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Autor: Edward Burn, Seng Chan You, Anthony G. Sena, Kristin Kostka, Hamed Abedtash, Maria Tereza F. Abrahão, Amanda Alberga, Heba Alghoul, Osaid Alser, Thamir M. Alshammari, Maria Aragon, Carlos Areia, Juan M. Banda, Jaehyeong Cho, Aedin C. Culhane, Alexander Davydov, Frank J. DeFalco, Talita Duarte-Salles, Scott DuVall, Thomas Falconer, Sergio Fernandez-Bertolin, Weihua Gao, Asieh Golozar, Jill Hardin, George Hripcsak, Vojtech Huser, Hokyun Jeon, Yonghua Jing, Chi Young Jung, Benjamin Skov Kaas-Hansen, Denys Kaduk, Seamus Kent, Yeesuk Kim, Spyros Kolovos, Jennifer C. E. Lane, Hyejin Lee, Kristine E. Lynch, Rupa Makadia, Michael E. Matheny, Paras P. Mehta, Daniel R. Morales, Karthik Natarajan, Fredrik Nyberg, Anna Ostropolets, Rae Woong Park, Jimyung Park, Jose D. Posada, Albert Prats-Uribe, Gowtham Rao, Christian Reich, Yeunsook Rho, Peter Rijnbeek, Lisa M. Schilling, Martijn Schuemie, Nigam H. Shah, Azza Shoaibi, Seokyoung Song, Matthew Spotnitz, Marc A. Suchard, Joel N. Swerdel, David Vizcaya, Salvatore Volpe, Haini Wen, Andrew E. Williams, Belay B. Yimer, Lin Zhang, Oleg Zhuk, Daniel Prieto-Alhambra, Patrick Ryan

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)

Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with

Externí odkaz: https://doaj.org/article/cfa5ce1ceb5b40e2835e784a7ff0057c

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Akademický článek

Evaluation of code-based algorithms to identify pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension patients in large administrative databases

Autor: Viviane P. Sprecher, Eva-Maria Didden, Joel N. Swerdel, Audrey Muller

Publikováno v: Pulmonary Circulation, Vol 10 (2020)

Large administrative healthcare (including insurance claims) databases are used for various retrospective real-world evidence studies. However, in pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension, identifying patients

Externí odkaz: https://doaj.org/article/f185bc80370040b08bfc535cb5e4e6ba

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Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study

Publikováno v: Journal of the American Medical Informatics Association : JAMIA, 30(5), 859-868. Oxford University Press

Objective Observational studies can impact patient care but must be robust and reproducible. Nonreproducibility is primarily caused by unclear reporting of design choices and analytic procedures. This study aimed to: (1) assess how the study logic de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d69de85b3cb0a18d90c106f56e7d55
https://pure.eur.nl/en/publications/e94c869e-7d3e-49ce-ac1f-7601060bd459

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Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: A multinational real-world cohort analysis

Publikováno v: Seminars in Arthritis and Rheumatism, 56:152050. W.B. Saunders
Semin Arthritis Rheum

Background:Identification of rheumatoid arthritis (RA) patients at high risk of adverse health outcomes remains a major challenge. We aimed to develop and validate prediction models for a variety of adverse health outcomes in RA patients initiating f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e0af8938ce4c1f48b9debdd06c651b
https://pure.eur.nl/en/publications/3cf1639f-3ab5-49e0-909c-2b4156f660ec

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Akademický článek

Ischemic Stroke Rate Increases in Young Adults: Evidence for a Generational Effect?

Autor: Joel N. Swerdel, George G. Rhoads, Jerry Q. Cheng, Nora M. Cosgrove, Abel E. Moreyra, John B. Kostis, William J. Kostis

Publikováno v: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 5, Iss 12 (2016)

BackgroundThe incidence rates of ischemic stroke and ST‐segment elevation myocardial infarction (STEMI) have decreased significantly in the United States since 1950. However, there is evidence of flattening of this trend or increasing rates for str

Externí odkaz: https://doaj.org/article/39a06c1fb5444d0cb882c4a724bedfec

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