Literature DB >> 28182270

Use of External Controls in Regulatory Decision-Making.

J P Jarow1.   

Abstract

The expanded use of electronic data retrieval systems has greatly expanded the potential sources of real-world data and presents new opportunities for evidence generation outside of the traditional research trial. These data may be used to inform trial design and interpretation as well. Externally controlled trials, such as single-arm and noninferiority designs, have long been used in regulatory decision-making despite the potential flaws based on assumptions of assay sensitivity and constancy. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

Mesh:

Year:  2017        PMID: 28182270     DOI: 10.1002/cpt.652

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


  4 in total

1.  Monitoring CAR-T-Cell Therapies Using the Nordic Healthcare Databases.

Authors:  Torbjörn Callréus; Tarec Christoffer El-Galaly; Mats Jerkeman; Peter de Nully Brown; Morten Andersen
Journal:  Pharmaceut Med       Date:  2019-04

Review 2.  A Review of Causal Inference for External Comparator Arm Studies.

Authors:  Gerd Rippin; Nicolás Ballarini; Héctor Sanz; Joan Largent; Chantal Quinten; Francesco Pignatti
Journal:  Drug Saf       Date:  2022-07-27       Impact factor: 5.228

3.  Minimizing control group allocation in randomized trials using dynamic borrowing of external control data - An application to second line therapy for non-small cell lung cancer.

Authors:  Louis Dron; Shirin Golchi; Grace Hsu; Kristian Thorlund
Journal:  Contemp Clin Trials Commun       Date:  2019-09-09

4.  Using Electronic Health Records to Derive Control Arms for Early Phase Single-Arm Lung Cancer Trials: Proof-of-Concept in Randomized Controlled Trials.

Authors:  Gillis Carrigan; Samuel Whipple; William B Capra; Michael D Taylor; Jeffrey S Brown; Michael Lu; Brandon Arnieri; Ryan Copping; Kenneth J Rothman
Journal:  Clin Pharmacol Ther       Date:  2019-10-11       Impact factor: 6.875

  4 in total

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