Robustness Assessment of Oncology Dose-Finding Trials Using the Modified Fragility Index

被引:0
作者
Shi, Amy X. [1 ]
Zhou, Heng [2 ]
Nie, Lei [3 ]
Lin, Lifeng [4 ]
Li, Hongjian [5 ]
Chu, Haitao [6 ,7 ]
机构
[1] AstraZeneca, Biopharmaceut R&D, Cardiovasc Renal & Metab CVRM, Durham, NC 27703 USA
[2] Merck & Co Inc, Biostat & Res Decis Sci, Rahway, NJ 07065 USA
[3] US FDA, Div Biometr 4, OB, OTS,CDER, Silver Spring, MD 20993 USA
[4] Univ Arizona, Mel & Enid Zuckerman Coll Publ Hlth, Dept Epidemiol & Biostat, Tucson, AZ 85721 USA
[5] AstraZeneca, Biopharmaceut R&D, Cardiovasc Renal & Metab CVRM, Gaithersburg, MD 20878 USA
[6] Pfizer Inc, Stat Res & Data Sci Ctr, New York, NY 10001 USA
[7] Univ Minnesota Twin Cities, Div Biostat & Hlth Data Sci, Minneapolis, MN 55455 USA
关键词
oncology trial; fragility Index; maximum tolerated dose; trial design; dose finding; sensitivity analysis; early stopping; CONTINUAL REASSESSMENT METHOD; PROBABILITY INTERVAL DESIGN; I CLINICAL-TRIALS; STATISTICAL SIGNIFICANCE; ESCALATION;
D O I
10.3390/cancers16203504
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary In this article, the authors introduce a new metric called the modified Fragility Index (mFI) to assess the accuracy of determining the maximum tolerated dose (MTD) in early oncology clinical trials. The mFI measures how sensitive the MTD decision is to the inclusion of a few more participants in the trial. The authors analyzed three published cancer trials and found that two trials were robust to adding more participants, indicating that the MTD estimate remained stable. However, in the other trial, the MTD estimate was more fragile and could have changed with just one or two more participants. The mFI metric helps researchers make more reliable decisions about the appropriate MTD. By considering the potential impact of additional participants, researchers can improve accuracy and confidence in dose determination, leading to better treatment outcomes for patients.Abstract Objectives: The sample sizes of phase I trials are typically small; some designs may lead to inaccurate estimation of the maximum tolerated dose (MTD). The objective of this study was to propose a metric assessing whether the MTD decision is sensitive to enrolling a few additional subjects in a phase I dose-finding trial. Methods: Numerous model-based and model-assisted designs have been proposed to improve the efficiency and accuracy of finding the MTD. The Fragility Index (FI) is a widely used metric quantifying the statistical robustness of randomized controlled trials by estimating the number of events needed to change a statistically significant result to non-significant (or vice versa). We propose a modified Fragility Index (mFI), defined as the minimum number of additional participants required to potentially change the estimated MTD, to supplement existing designs identifying fragile phase I trial results. Findings: Three oncology trials were used to illustrate how to evaluate the fragility of phase I trials using mFI. The results showed that two of the trials were not sensitive to additional subjects' participation while the third trial was quite fragile to one or two additional subjects. Conclusions: The mFI can be a useful metric assessing the fragility of phase I trials and facilitating robust identification of MTD.
引用
收藏
页数:11
相关论文
共 35 条
[1]   The statistical significance of meta-analyses is frequently fragile: definition of a fragility index for meta-analyses [J].
Atal, Ignacio ;
Porcher, Raphael ;
Boutron, Isabelle ;
Ravaud, Philippe .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2019, 111 :32-40
[2]  
Babb J, 1998, STAT MED, V17, P1103, DOI 10.1002/(SICI)1097-0258(19980530)17:10<1103::AID-SIM793>3.0.CO
[3]  
2-9
[4]   Fragility indices for only sufficiently likely modifications [J].
Baer, Benjamin R. ;
Gaudino, Mario ;
Charlson, Mary ;
Fremes, Stephen E. ;
Wells, Martin T. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (49)
[5]   On clinical trial fragility due to patients lost to follow up [J].
Baer, Benjamin R. ;
Fremes, Stephen E. ;
Gaudino, Mario ;
Charlson, Mary ;
Wells, Martin T. .
BMC MEDICAL RESEARCH METHODOLOGY, 2021, 21 (01)
[6]   Survival-Inferred Fragility Index of Phase 3 Clinical Trials Evaluating Immune Checkpoint Inhibitors [J].
Bomze, David ;
Asher, Nethanel ;
Ali, Omar Hasan ;
Flatz, Lukas ;
Azoulay, Daniel ;
Markel, Gal ;
Meirson, Tomer .
JAMA NETWORK OPEN, 2020, 3 (10)
[7]   A method for calculating the fragility index of continuous outcomes [J].
Caldwell, Jon-Michael E. ;
Youssefzadeh, Keon ;
Limpisvasti, Orr .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2021, 136 :20-25
[8]   Sequential designs for phase I clinical trials with late-onset toxicities [J].
Cheung, YK ;
Chappell, R .
BIOMETRICS, 2000, 56 (04) :1177-1182
[9]   The fragility of phase 3 trials supporting FDA-approved anticancer medicines: a retrospective analysis [J].
Del Paggio, Joseph C. ;
Tannock, Ian F. .
LANCET ONCOLOGY, 2019, 20 (08) :1065-1069
[10]   Stopping rules for phase I clinical trials with dose expansion cohorts [J].
Devlin, Sean M. ;
Iasonos, Alexia ;
O'Quigley, John .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2022, 31 (02) :334-347