Literature DB >> 7954280

Quality assurance for interventions in clinical trials. Multicenter data monitoring, data management, and analysis.

B H Pollock1.   

Abstract

Quality assurance for the management of multicenter clinical trials requires timely patient and data accrual and consistency with design parameters. Data from central pathology review, treatment modality, and follow-up as well as trial end points direct the selection of appropriate compliance measures. To integrate these data to monitor group performance on a specific protocol, to monitor discipline performance, or to monitor an institution's performance is a formidable task. This is especially true for a group such as the Pediatric Oncology Group, where there are a large number of protocols, many diseases, and widely differing protocol requirements. Quality assurance methods for the Pediatric Oncology Group are discussed.

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Year:  1994        PMID: 7954280     DOI: 10.1002/1097-0142(19941101)74:9+<2647::aid-cncr2820741811>3.0.co;2-x

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  3 in total

Review 1.  Accuracy of data in computer-based patient records.

Authors:  W R Hogan; M M Wagner
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

2.  Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement.

Authors:  Charles A Phillips; Brad H Pollock
Journal:  J Natl Cancer Inst Monogr       Date:  2019-09-01

3.  Ongoing monitoring of data clustering in multicenter studies.

Authors:  Lauren B Guthrie; Emily Oken; Jonathan A C Sterne; Matthew W Gillman; Rita Patel; Konstantin Vilchuck; Natalia Bogdanovich; Michael S Kramer; Richard M Martin
Journal:  BMC Med Res Methodol       Date:  2012-03-13       Impact factor: 4.615

  3 in total

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