Literature DB >> 16361625

Dealing with a deluge of data: an assessment of adverse event data on North Central Cancer Treatment Group trials.

Michelle R Mahoney1, Daniel J Sargent, Michael J O'Connell, Richard M Goldberg, Paul Schaefer, Jan C Buckner.   

Abstract

PURPOSE: Adverse events (AEs) are monitored in clinical trials for patient safety, to satisfy reporting requirements, and develop safety profiles. Recently, much attention has been placed on the reporting of serious AEs (SAEs) that are either life threatening or lethal in clinical trials. However, SAEs comprise a small subset of all AE data collected for trials; the majority of AE data collected are routine AEs (RAEs) regarding non-life-threatening events. We assessed the utility of the RAE data collected, relative to the volume. PATIENTS AND METHODS: We surveyed the RAE data from 26 North Central Cancer Treatment Group coordinated trials.
RESULTS: A total of 8,318 (11%) of 75,598 of RAEs required queries. Of these, 86% were protocol-required RAEs, 83% of RAEs required per protocol were within normal limits (eg, platelets) or not present, and 61% of extra AEs were mild. One fifth of RAEs were considered unlikely to be related or unrelated to treatment. Overall, 3% of events were severe, life threatening, or caused death. Only 1% of RAE data reported required expedited reporting (eg, via Adverse Event Expedited Reporting System). Results indicate that 72% of RAEs would be eliminated if only the maximum severity per patient and type were required. These results were validated in a large phase III trial.
CONCLUSION: The majority of RAEs identified, transcribed, and entered are not clinically important. Our data suggest that reducing the number of AEs monitored will affect substantially neither overall patient safety nor compromise evaluation of regimens undergoing testing. We present several considerations for such a reduction in data collection, as well as a policy that we have used to address the deluge of RAE data.

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Year:  2005        PMID: 16361625     DOI: 10.1200/JCO.2004.00.0588

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  12 in total

1.  Optimizing collection of adverse event data in cancer clinical trials supporting supplemental indications.

Authors:  Lee D Kaiser; Allen S Melemed; Alaknanda J Preston; Hilary A Chaudri Ross; Donna Niedzwiecki; Gwendolyn A Fyfe; Jacqueline M Gough; William D Bushnell; Cynthia L Stephens; M Kelsey Mace; Jeffrey S Abrams; Richard L Schilsky
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Evaluation of the value of attribution in the interpretation of adverse event data: a North Central Cancer Treatment Group and American College of Surgeons Oncology Group investigation.

Authors:  Shauna L Hillman; Sumithra J Mandrekar; Brian Bot; Ronald P DeMatteo; Edith A Perez; Karla V Ballman; Heidi Nelson; Jan C Buckner; Daniel J Sargent
Journal:  J Clin Oncol       Date:  2010-05-17       Impact factor: 44.544

3.  Analysis of outcomes in radiation oncology: an integrated computational platform.

Authors:  Dezhi Liu; Munther Ajlouni; Jian-Yue Jin; Samuel Ryu; Farzan Siddiqui; Anushka Patel; Benjamin Movsas; Indrin J Chetty
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

4.  Protecting human research subjects: the past defines the future.

Authors:  Joseph L Breault
Journal:  Ochsner J       Date:  2006

5.  The impact of non-drug-related toxicities on the estimation of the maximum tolerated dose in phase I trials.

Authors:  Alexia Iasonos; Mrinal Gounder; David R Spriggs; John F Gerecitano; David M Hyman; Sarah Zohar; John O'Quigley
Journal:  Clin Cancer Res       Date:  2012-07-23       Impact factor: 12.531

6.  Merging of the National Cancer Institute-funded cooperative oncology group data with an administrative data source to develop a more effective platform for clinical trial analysis and comparative effectiveness research: a report from the Children's Oncology Group.

Authors:  R Aplenc; B T Fisher; Y S Huang; Y Li; T A Alonzo; R B Gerbing; M Hall; D Bertoch; R Keren; A E Seif; L Sung; P C Adamson; A Gamis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

7.  Leveraging learning from a phase III colorectal cancer clinical trial: outcomes, methodology, meta-analysis and pharmacogenetics.

Authors:  Richard M Goldberg; Daniel J Sargent; Howard McLeod
Journal:  Trans Am Clin Climatol Assoc       Date:  2010

8.  Evaluating and reporting dysphagia in trials of chemoirradiation for head-and-neck cancer.

Authors:  Iris Gluck; Felix Y Feng; Teresa Lyden; Marc Haxer; Francis Worden; Douglas B Chepeha; Avraham Eisbruch
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-09-23       Impact factor: 7.038

Review 9.  NCCTG Study N9741: leveraging learning from an NCI Cooperative Group phase III trial.

Authors:  Richard M Goldberg; Daniel J Sargent; Roscoe F Morton; Erin Green; Hanna K Sanoff; Howard McLeod; Jan Buckner
Journal:  Oncologist       Date:  2009-10-14

10.  Accuracy of Adverse Event Ascertainment in Clinical Trials for Pediatric Acute Myeloid Leukemia.

Authors:  Tamara P Miller; Yimei Li; Marko Kavcic; Andrea B Troxel; Yuan-Shun V Huang; Lillian Sung; Todd A Alonzo; Robert Gerbing; Matt Hall; Marla H Daves; Terzah M Horton; Michael A Pulsipher; Jessica A Pollard; Rochelle Bagatell; Alix E Seif; Brian T Fisher; Selina Luger; Alan S Gamis; Peter C Adamson; Richard Aplenc
Journal:  J Clin Oncol       Date:  2016-02-16       Impact factor: 44.544

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