Literature DB >> 26659268

Improving therapeutic effectiveness and safety through big healthcare data.

S Schneeweiss1.   

Abstract

Big healthcare data-electronically recorded longitudinal data generated during the provision and administration of healthcare for millions of patients-have become essential for understanding the effectiveness and safety of therapeutics. They are most effectively used in concert with experimental and laboratory research throughout the life cycle of a drug. Applications range from providing phenotype and health outcomes information in genome-wide association studies to postmarketing studies that assure prescribers of the safety of approved drugs (Figure ). [Figure: see text].
© 2015 ASCPT.

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Year:  2016        PMID: 26659268     DOI: 10.1002/cpt.316

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  11 in total

1.  Report on the current status of the use of real-world data (RWD) and real-world evidence (RWE) in drug development and regulation.

Authors:  Alasdair M Breckenridge; Ross A Breckenridge; Carl C Peck
Journal:  Br J Clin Pharmacol       Date:  2019-07-10       Impact factor: 4.335

2.  Cardiovascular safety of linagliptin compared with other oral glucose-lowering agents in patients with type 2 diabetes: A sequential monitoring programme in routine care.

Authors:  Elisabetta Patorno; Chandrasekar Gopalakrishnan; Kimberly G Brodovicz; Andrea Meyers; Dorothee B Bartels; Jun Liu; Martin Kulldorff; Sebastian Schneeweiss
Journal:  Diabetes Obes Metab       Date:  2019-05-01       Impact factor: 6.577

3.  Claims-based studies of oral glucose-lowering medications can achieve balance in critical clinical variables only observed in electronic health records.

Authors:  Elisabetta Patorno; Chandrasekar Gopalakrishnan; Jessica M Franklin; Kimberly G Brodovicz; Elvira Masso-Gonzalez; Dorothee B Bartels; Jun Liu; Sebastian Schneeweiss
Journal:  Diabetes Obes Metab       Date:  2018-01-12       Impact factor: 6.577

4.  Managing Innovation to Maximize Value Along the Discovery-Translation-Application Continuum.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2016-11-21       Impact factor: 6.875

5.  Evolving channeling in prescribing SGLT-2 inhibitors as first-line treatment for type 2 diabetes.

Authors:  HoJin Shin; Sebastian Schneeweiss; Robert J Glynn; Elisabetta Patorno
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-01-17       Impact factor: 2.890

6.  Claims Data Studies of Direct Oral Anticoagulants Can Achieve Balance in Important Clinical Parameters Only Observable in Electronic Health Records.

Authors:  Krista F Huybrechts; Chandrasekar Gopalakrishnan; Jessica M Franklin; Kristina Zint; Lionel Riou Franca; Dorothee B Bartels; Joan Landon; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2018-11-11       Impact factor: 6.875

7.  Prevalence of Avoidable and Bias-Inflicting Methodological Pitfalls in Real-World Studies of Medication Safety and Effectiveness.

Authors:  Katsiaryna Bykov; Elisabetta Patorno; Elvira D'Andrea; Mengdong He; Hemin Lee; Jennifer S Graff; Jessica M Franklin
Journal:  Clin Pharmacol Ther       Date:  2021-08-04       Impact factor: 6.875

8.  Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon.

Authors:  Peiyao Li; Chen Xie; Tom Pollard; Alistair Edward William Johnson; Desen Cao; Hongjun Kang; Hong Liang; Yuezhou Zhang; Xiaoli Liu; Yong Fan; Yuan Zhang; Wanguo Xue; Lixin Xie; Leo Anthony Celi; Zhengbo Zhang
Journal:  JMIR Med Inform       Date:  2017-11-14

Review 9.  Big Data's Role in Precision Public Health.

Authors:  Shawn Dolley
Journal:  Front Public Health       Date:  2018-03-07

10.  A Structured Preapproval and Postapproval Comparative Study Design Framework to Generate Valid and Transparent Real-World Evidence for Regulatory Decisions.

Authors:  Nicolle M Gatto; Robert F Reynolds; Ulka B Campbell
Journal:  Clin Pharmacol Ther       Date:  2019-06-12       Impact factor: 6.875

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