Literature DB >> 1293668

Using toxicity grades in the design and analysis of cancer phase I clinical trials.

N H Gordon1, J K Willson.   

Abstract

Ethical considerations in a cancer phase I trial require a design allowing determination of the maximum tolerated dose with a minimum number of patients treated at low ineffectual or high overly toxic doses. It would also be advantageous to complete the phase I trial in as short a period of time and with as few patients as possible to allow further resources for later studies in which patients are treated at the optimal dose. Several dose escalation schemes are compared. These are the Fibonacci, two two-stage schemes, and a proposed scheme which uses knowledge of all toxicity grades. Estimates of the maximum tolerated dose are obtained and compared using the dose escalation schemes alone, a logit model, and a proposed mean response model. Confidence intervals using the delta method are obtained from the logit and mean response models. The proposed scheme and the two-stage schemes have the advantage of requiring fewer patients, particularly at low doses. Confidence intervals obtained from the mean response model have better coverage than those from the logit model. Data from a cancer phase I trial of dipyridamole and acivicin is presented to illustrate the methods.

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Year:  1992        PMID: 1293668     DOI: 10.1002/sim.4780111604

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  Flexible Phase I Clinical Trials: Allowing for Nonbinary Toxicity Response and Removal of Other Common Limitations.

Authors:  Richard F Potthoff; Stephen L George
Journal:  Stat Biopharm Res       Date:  2009-08-01       Impact factor: 1.452

2.  Dose escalation with overdose control using a quasi-continuous toxicity score in cancer Phase I clinical trials.

Authors:  Zhengjia Chen; Mourad Tighiouart; Jeanne Kowalski
Journal:  Contemp Clin Trials       Date:  2012-04-25       Impact factor: 2.226

3.  On the properties of the toxicity index and its statistical efficiency.

Authors:  Zahra S Razaee; Arash A Amini; Márcio A Diniz; Mourad Tighiouart; Greg Yothers; André Rogatko
Journal:  Stat Med       Date:  2020-12-20       Impact factor: 2.373

4.  Interactive Software "Isotonic Design using Normalized Equivalent Toxicity Score (ID-NETS©TM)" for Cancer Phase I Clinical Trials.

Authors:  Zhengjia Chen; Zhibo Wang; Haibin Wang; Taofeek K Owonikoko; Jeanne Kowalski; Fadlo R Khuri
Journal:  Open Med Inform J       Date:  2013-04-05
  4 in total

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