Literature DB >> 26324741

Toxicity Attribution in Phase I Trials: Evaluating the Effect of Dose on the Frequency of Related and Unrelated Toxicities.

Anne Eaton1, Alexia Iasonos2, Mrinal M Gounder3, Erika G Pamer4, Alexander Drilon3, Diana Vulih5, Gary L Smith6, S Percy Ivy6, David R Spriggs3, David M Hyman7.   

Abstract

PURPOSE: Phase I studies rely on investigators to accurately attribute adverse events as related or unrelated to study drug. This information is ultimately used to help establish a safe dose. Attribution in the phase I setting has not been widely studied and assessing the accuracy of attribution is complicated by the lack of a gold standard. We examined dose-toxicity relationships as a function of attribution and toxicity category to evaluate for evidence of toxicity misattribution. EXPERIMENTAL
DESIGN: Individual patient records from 38 phase I studies activated between 2000 and 2010 were used. Dose was defined as a percentage of maximum dose administered on each study. Relationships between dose and patient-level toxicity were explored graphically and with logistic regression. All P values were two-sided.
RESULTS: 11,909 toxicities from 1,156 patients were analyzed. Unrelated toxicity was not associated with dose (P = 0.0920 for grade ≥ 3, P = 0.4194 for grade ≥ 1), whereas related toxicity increased with dose (P < 0.0001, both grade ≥ 3 and ≥ 1). Similar results were observed across toxicity categories. In the five-tier system, toxicities attributed as "possibly," "probably," or "definitely" related were associated with dose (all P < 0.0001), whereas toxicities attributed as "unlikely" or "unrelated" were not (all P > 0.1).
CONCLUSIONS: Reassuringly, we did not observe an association between unrelated toxicity rate and dose, an association that could only have been explained by physician misattribution. Our findings also confirmed our expectation that related toxicity rate increases with dose. Our analysis supports simplifying attribution to a two-tier system by collapsing "possibly," "probably," and "definitely" related. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26324741      PMCID: PMC4819316          DOI: 10.1158/1078-0432.CCR-15-0339

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  14 in total

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Authors:  S S Ansher; R Scharf
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2.  Clinical trials data collection: when less is more.

Authors:  Daniel J Sargent; Stephen L George
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3.  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.

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4.  Targeted therapies: redefining the primary objective of phase I oncology trials.

Authors:  Mark J Ratain
Journal:  Nat Rev Clin Oncol       Date:  2014-08-05       Impact factor: 66.675

5.  Estimating the dose-toxicity curve in completed phase I studies.

Authors:  Alexia Iasonos; Irina Ostrovnaya
Journal:  Stat Med       Date:  2011-02-22       Impact factor: 2.373

6.  Mortality associated with irinotecan plus bolus fluorouracil/leucovorin: summary findings of an independent panel.

Authors:  M L Rothenberg; N J Meropol; E A Poplin; E Van Cutsem; S Wadler
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7.  A qualitative study evaluating causality attribution for serious adverse events during early phase oncology clinical trials.

Authors:  Som D Mukherjee; Megan E Coombes; Mitch Levine; Jarold Cosby; Brenda Kowaleski; Andrew Arnold
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8.  Risks and benefits of phase 1 oncology trials, 1991 through 2002.

Authors:  Elizabeth Horstmann; Mary S McCabe; Louise Grochow; Seiichiro Yamamoto; Larry Rubinstein; Troy Budd; Dale Shoemaker; Ezekiel J Emanuel; Christine Grady
Journal:  N Engl J Med       Date:  2005-03-03       Impact factor: 91.245

9.  Predictive value of phase I trials for safety in later trials and final approved dose: analysis of 61 approved cancer drugs.

Authors:  Denis L Jardim; Kenneth R Hess; Patricia Lorusso; Razelle Kurzrock; David S Hong
Journal:  Clin Cancer Res       Date:  2013-11-04       Impact factor: 12.531

10.  Sensitivity of dose-finding studies to observation errors.

Authors:  Sarah Zohar; John O'Quigley
Journal:  Contemp Clin Trials       Date:  2009-07-04       Impact factor: 2.226

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

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

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Journal:  Clin Cancer Res       Date:  2015-10-14       Impact factor: 12.531

4.  Pharmacogenomics-Based Point-of-Care Clinical Decision Support Significantly Alters Drug Prescribing.

Authors:  P H O'Donnell; N Wadhwa; K Danahey; B A Borden; S M Lee; J P Hall; C Klammer; S Hussain; M Siegler; M J Sorrentino; A M Davis; Y A Sacro; R Nanda; T S Polonsky; J L Koyner; D L Burnet; K Lipstreuer; D T Rubin; C Mulcahy; M E Strek; W Harper; A S Cifu; B Polite; L Patrick-Miller; K-Tj Yeo; Eky Leung; S L Volchenboum; R B Altman; O I Olopade; W M Stadler; D O Meltzer; M J Ratain
Journal:  Clin Pharmacol Ther       Date:  2017-06-15       Impact factor: 6.875

Review 5.  Sex and Gender Differences in Anticancer Treatment Toxicity: A Call for Revisiting Drug Dosing in Oncology.

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6.  Calcitriol and cancer therapy: A missed opportunity.

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