Literature DB >> 32011317

Opportunities and challenges in using real-world data for health care.

Vivek A Rudrapatna1,2, Atul J Butte1,3,4.   

Abstract

Real-world data (RWD) continue to emerge as a new source of clinical evidence. Although the best-known use case of RWD has been in drug regulation, RWD are being generated and used by many other parties, including biopharmaceutical companies, payors, clinical researchers, providers, and patients. In this Review, we describe 21 potential uses for RWD across the spectrum of health care. We also discuss important challenges and limitations relevant to the translation of these data into evidence.

Entities:  

Mesh:

Year:  2020        PMID: 32011317      PMCID: PMC6994109          DOI: 10.1172/JCI129197

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  34 in total

1.  Clinical trials data collection: when less is more.

Authors:  Daniel J Sargent; Stephen L George
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Efficiencies of platform clinical trials: A vision of the future.

Authors:  Benjamin R Saville; Scott M Berry
Journal:  Clin Trials       Date:  2016-02-17       Impact factor: 2.486

3.  A 'green button' for using aggregate patient data at the point of care.

Authors:  Christopher A Longhurst; Robert A Harrington; Nigam H Shah
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

4.  A Bias in the Evaluation of Bias Comparing Randomized Trials with Nonexperimental Studies.

Authors:  Jessica M Franklin; Sara Dejene; Krista F Huybrechts; Shirley V Wang; Martin Kulldorff; Kenneth J Rothman
Journal:  Epidemiol Methods       Date:  2017-04-22

5.  Real-world 2-year outcome of atrial fibrillation treatment with dabigatran, apixaban, and rivaroxaban in patients with and without chronic kidney disease.

Authors:  Cosmo Godino; Francesco Melillo; Francesca Rubino; Luca Arrigoni; Alberto Cappelletti; Patrizio Mazzone; Paolo Mattiello; Paolo Della Bella; Antonio Colombo; Anna Salerno; Michela Cera; Alberto Margonato
Journal:  Intern Emerg Med       Date:  2019-05-09       Impact factor: 3.397

6.  10-year follow-up of intensive glucose control in type 2 diabetes.

Authors:  Rury R Holman; Sanjoy K Paul; M Angelyn Bethel; David R Matthews; H Andrew W Neil
Journal:  N Engl J Med       Date:  2008-09-10       Impact factor: 91.245

7.  Rosiglitazone evaluated for cardiovascular outcomes in oral agent combination therapy for type 2 diabetes (RECORD): a multicentre, randomised, open-label trial.

Authors:  Philip D Home; Stuart J Pocock; Henning Beck-Nielsen; Paula S Curtis; Ramon Gomis; Markolf Hanefeld; Nigel P Jones; Michel Komajda; John J V McMurray
Journal:  Lancet       Date:  2009-06-06       Impact factor: 79.321

8.  Women's involvement in clinical trials: historical perspective and future implications.

Authors:  Katherine A Liu; Natalie A Dipietro Mager
Journal:  Pharm Pract (Granada)       Date:  2016-03-15

9.  Agreement of treatment effects for mortality from routinely collected data and subsequent randomized trials: meta-epidemiological survey.

Authors:  Lars G Hemkens; Despina G Contopoulos-Ioannidis; John P A Ioannidis
Journal:  BMJ       Date:  2016-02-08

10.  Using natural experiments to evaluate population health interventions: new Medical Research Council guidance.

Authors:  Peter Craig; Cyrus Cooper; David Gunnell; Sally Haw; Kenny Lawson; Sally Macintyre; David Ogilvie; Mark Petticrew; Barney Reeves; Matt Sutton; Simon Thompson
Journal:  J Epidemiol Community Health       Date:  2012-05-10       Impact factor: 3.710

View more
  17 in total

1.  Extraction of Treatment Information From Electronic Health Records and Evaluation of Testosterone Recovery in Patients With Prostate Cancer.

Authors:  Sunny Guin; Tomi Jun; Vaibhav G Patel; Kristin L Ayers; Matthew Deitz; Yuqin Cai; Xiang Zhou; Che-Kai Tsao; William K Oh; Rong Chen; Bobby C Liaw
Journal:  JCO Clin Cancer Inform       Date:  2022-06

2.  Usage patterns of oral H1-antihistamines in 10 European countries: A study using MASK-air® and Google Trends real-world data.

Authors:  Rafael José Vieira; Bernardo Sousa-Pinto; Josep M Anto; Aziz Sheikh; Ludger Klimek; Torsten Zuberbier; João Almeida Fonseca; Jean Bousquet
Journal:  World Allergy Organ J       Date:  2022-06-24       Impact factor: 5.516

3.  A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology, and Education Committee.

Authors:  Paneez Khoury; Renganathan Srinivasan; Sujani Kakumanu; Sebastian Ochoa; Anjeni Keswani; Rachel Sparks; Nicholas L Rider
Journal:  J Allergy Clin Immunol Pract       Date:  2022-03-15

Review 4.  Strategies for Testing Intervention Matching Schemes in Cancer.

Authors:  Nicholas J Schork; Laura H Goetz; James Lowey; Jeffrey Trent
Journal:  Clin Pharmacol Ther       Date:  2020-07-24       Impact factor: 6.875

Review 5.  The dawning of the digital era in the management of hypertension.

Authors:  Ryo Matsuoka; Hiroshi Akazawa; Satoshi Kodera; Issei Komuro
Journal:  Hypertens Res       Date:  2020-07-13       Impact factor: 3.872

6.  Rethinking PICO in the Machine Learning Era: ML-PICO.

Authors:  Xinran Liu; James Anstey; Ron Li; Chethan Sarabu; Reiri Sono; Atul J Butte
Journal:  Appl Clin Inform       Date:  2021-05-19       Impact factor: 2.342

Review 7.  Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.

Authors:  Sally L Baxter; Aaron Y Lee
Journal:  Curr Opin Ophthalmol       Date:  2021-09-01       Impact factor: 4.299

8.  Editorial: Biomedical Data Visualization: Methods and Applications.

Authors:  Tianzhi Wu; Chuan-Le Xiao; Tommy Tsan-Yuk Lam; Guangchuang Yu
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.599

9.  Systematic review and meta-analysis: real-world data rates of deep remission with anti-TNFα in inflammatory bowel disease.

Authors:  Omeed Alipour; Alakh Gualti; Ling Shao; Bing Zhang
Journal:  BMC Gastroenterol       Date:  2021-08-03       Impact factor: 3.067

10.  Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates.

Authors:  Vivek A Rudrapatna; Benjamin S Glicksberg; Patrick Avila; Emily Harding-Theobald; Connie Wang; Atul J Butte
Journal:  BMJ Open Qual       Date:  2020-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.