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Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs

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Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs. / Barnett, Helen; Boix, Oliver; Kontos, Dimitris et al.
In: Statistics in Medicine, Vol. 41, No. 30, 30.12.2022, p. 5767-5788.

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Barnett H, Boix O, Kontos D, Jaki T. Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs. Statistics in Medicine. 2022 Dec 30;41(30):5767-5788. Epub 2022 Oct 17. doi: 10.1002/sim.9593

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Barnett, Helen ; Boix, Oliver ; Kontos, Dimitris et al. / Dose finding studies for therapies with late‐onset toxicities : A comparison study of designs. In: Statistics in Medicine. 2022 ; Vol. 41, No. 30. pp. 5767-5788.

Bibtex

@article{aed6f4938e2947798b62b2bc4bff1ec8,
title = "Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs",
abstract = "An objective of phase I dose‐finding trials is to find the maximum tolerated dose; the dose with a particular risk of toxicity. Frequently, this risk is assessed across the first cycle of therapy. However, in oncology, a course of treatment frequently consists of multiple cycles of therapy. In many cases, the overall risk of toxicity for a given treatment is not fully encapsulated by observations from the first cycle, and hence it is advantageous to include toxicity outcomes from later cycles in phase I trials. Extending the follow up period in a trial naturally extends the total length of the trial which is undesirable. We present a comparison of eight methods that incorporate late onset toxicities while not extensively extending the trial length. We conduct simulation studies over a number of scenarios and in two settings; the first setting with minimal stopping rules and the second setting with a full set of standard stopping rules expected in such a dose finding study. We find that the model‐based approaches in general outperform the model‐assisted approaches, with an interval censored approach and a modified version of the time‐to‐event continual reassessment method giving the most promising overall performance in terms of correct selections and trial length. Further recommendations are made for the implementation of such methods.",
keywords = "RESEARCH ARTICLE, RESEARCH ARTICLES, dose‐finding, late‐onset toxicities, model‐assisted, model‐based, phase I trials",
author = "Helen Barnett and Oliver Boix and Dimitris Kontos and Thomas Jaki",
year = "2022",
month = dec,
day = "30",
doi = "10.1002/sim.9593",
language = "English",
volume = "41",
pages = "5767--5788",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "John Wiley and Sons Ltd",
number = "30",

}

RIS

TY - JOUR

T1 - Dose finding studies for therapies with late‐onset toxicities

T2 - A comparison study of designs

AU - Barnett, Helen

AU - Boix, Oliver

AU - Kontos, Dimitris

AU - Jaki, Thomas

PY - 2022/12/30

Y1 - 2022/12/30

N2 - An objective of phase I dose‐finding trials is to find the maximum tolerated dose; the dose with a particular risk of toxicity. Frequently, this risk is assessed across the first cycle of therapy. However, in oncology, a course of treatment frequently consists of multiple cycles of therapy. In many cases, the overall risk of toxicity for a given treatment is not fully encapsulated by observations from the first cycle, and hence it is advantageous to include toxicity outcomes from later cycles in phase I trials. Extending the follow up period in a trial naturally extends the total length of the trial which is undesirable. We present a comparison of eight methods that incorporate late onset toxicities while not extensively extending the trial length. We conduct simulation studies over a number of scenarios and in two settings; the first setting with minimal stopping rules and the second setting with a full set of standard stopping rules expected in such a dose finding study. We find that the model‐based approaches in general outperform the model‐assisted approaches, with an interval censored approach and a modified version of the time‐to‐event continual reassessment method giving the most promising overall performance in terms of correct selections and trial length. Further recommendations are made for the implementation of such methods.

AB - An objective of phase I dose‐finding trials is to find the maximum tolerated dose; the dose with a particular risk of toxicity. Frequently, this risk is assessed across the first cycle of therapy. However, in oncology, a course of treatment frequently consists of multiple cycles of therapy. In many cases, the overall risk of toxicity for a given treatment is not fully encapsulated by observations from the first cycle, and hence it is advantageous to include toxicity outcomes from later cycles in phase I trials. Extending the follow up period in a trial naturally extends the total length of the trial which is undesirable. We present a comparison of eight methods that incorporate late onset toxicities while not extensively extending the trial length. We conduct simulation studies over a number of scenarios and in two settings; the first setting with minimal stopping rules and the second setting with a full set of standard stopping rules expected in such a dose finding study. We find that the model‐based approaches in general outperform the model‐assisted approaches, with an interval censored approach and a modified version of the time‐to‐event continual reassessment method giving the most promising overall performance in terms of correct selections and trial length. Further recommendations are made for the implementation of such methods.

KW - RESEARCH ARTICLE

KW - RESEARCH ARTICLES

KW - dose‐finding

KW - late‐onset toxicities

KW - model‐assisted

KW - model‐based

KW - phase I trials

U2 - 10.1002/sim.9593

DO - 10.1002/sim.9593

M3 - Journal article

VL - 41

SP - 5767

EP - 5788

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 30

ER -