Literature DB >> 20479400

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.

Shauna L Hillman1, Sumithra J Mandrekar, Brian Bot, Ronald P DeMatteo, Edith A Perez, Karla V Ballman, Heidi Nelson, Jan C Buckner, Daniel J Sargent.   

Abstract

PURPOSE: In March 1998, Common Toxicity Criteria (CTC) version 2.0 introduced the collection of attribution of adverse events (AEs) to study drug. We investigate whether attribution adds value to the interpretation of AE data. PATIENTS AND METHODS: Patients in the placebo arm of two phase III trials-North Central Cancer Treatment Group Trial 97-24-51 (carboxyamino-triazole v placebo in advanced non-small-cell lung cancer) and American College of Surgeons Oncology Group Trial Z9001 (imatinib mesylate v placebo after resection of primary gastrointestinal stromal tumors)-were studied. Attribution was categorized as unrelated (not related or unlikely) and related (possible, probable, or definite).
RESULTS: In total, 398 patients (84 from Trial 97-24-51 and 314 from Trial Z9001) and 7,736 AEs were included; 47% and 50% of the placebo-arm AEs, respectively, were reported as related. When the same AE was reported in the same patient on multiple visits, the attribution category changed at least once 36% and 31% of the time. AE type and sex (Trial Z9001) and AE type and performance status (Trial 97-24-51) were associated with a higher likelihood of AEs being deemed related.
CONCLUSION: Nearly 50% of AEs were reported as attributed to study drug on the placebo arm of two randomized clinical trials. These data provide strong evidence that AE attribution is difficult to determine, unreliable, and of questionable value in interpreting AE data in randomized clinical trials.

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Year:  2010        PMID: 20479400      PMCID: PMC2903334          DOI: 10.1200/JCO.2009.27.4282

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


  9 in total

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

Authors:  Michelle R Mahoney; Daniel J Sargent; Michael J O'Connell; Richard M Goldberg; Paul Schaefer; Jan C Buckner
Journal:  J Clin Oncol       Date:  2005-12-20       Impact factor: 44.544

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5.  The placebo effect in healthy volunteers: influence of experimental conditions on the adverse events profile during phase I studies.

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6.  Influence of physicians' attitudes on reporting adverse drug events: a case-control study.

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8.  Phase III randomized, double-blind study of maintenance CAI or placebo in patients with advanced non-small cell lung cancer (NSCLC) after completion of initial therapy (NCCTG 97-24-51).

Authors:  Elizabeth A Johnson; Randolph S Marks; Sumithra J Mandrekar; Shauna L Hillman; Mark D Hauge; Mitchel D Bauman; Edward J Wos; Dennis F Moore; John W Kugler; Harold E Windschitl; David L Graham; Albert M Bernath; Tom R Fitch; Gamini S Soori; James R Jett; Alex A Adjei; Edith A Perez
Journal:  Lung Cancer       Date:  2007-11-28       Impact factor: 5.705

9.  Adjuvant imatinib mesylate after resection of localised, primary gastrointestinal stromal tumour: a randomised, double-blind, placebo-controlled trial.

Authors:  Ronald P Dematteo; Karla V Ballman; Cristina R Antonescu; Robert G Maki; Peter W T Pisters; George D Demetri; Martin E Blackstein; Charles D Blanke; Margaret von Mehren; Murray F Brennan; Shreyaskumar Patel; Martin D McCarter; Jonathan A Polikoff; Benjamin R Tan; Kouros Owzar
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Journal:  Gynecol Oncol       Date:  2012-06-01       Impact factor: 5.482

2.  Phase I Designs that Allow for Uncertainty in the Attribution of Adverse Events.

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5.  Taking a Measured Approach to Toxicity Data in Phase I Oncology Clinical Trials.

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9.  Life-threatening dermatologic adverse events in oncology.

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10.  Sunitinib adverse events in metastatic renal cell carcinoma: a meta-analysis.

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