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Tassistro E, Bernasconi DP, Valsecchi MG, Antolini L. Adverse events in single-arm clinical trials with non-fatal time-to-event efficacy endpoint: from clinical questions to methods for statistical analysis. BMC Med Res Methodol 2024; 24:3. [PMID: 38172810 PMCID: PMC10765745 DOI: 10.1186/s12874-023-02123-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND In any single-arm trial on novel treatments, assessment of toxicity plays an important role as occurrence of adverse events (AEs) is relevant for application in clinical practice. In the presence of a non-fatal time-to-event(s) efficacy endpoint, the analysis should be broadened to consider AEs occurrence in time. The AEs analysis could be tackled with two approaches, depending on the clinical question of interest. Approach 1 focuses on the occurrence of AE as first event. Treatment ability to protect from the efficacy endpoint event(s) has an impact on the chance of observing AEs due to competing risks action. Approach 2 considers how treatment affects the occurrence of AEs in the potential framework where the efficacy endpoint event(s) could not occur. METHODS In the first part of the work we review the strategy of analysis for these two approaches. We identify theoretical quantities and estimators consistent with the following features: (a) estimators should address for the presence of right censoring; (b) theoretical quantities and estimators should be functions of time. In the second part of the work we propose the use of alternative methods (regression models, stratified Kaplan-Meier curves, inverse probability of censoring weighting) to relax the assumption of independence between the potential times to AE and to event(s) in the efficacy endpoint for addressing Approach 2. RESULTS We show through simulations that the proposed methods overcome the bias due to the dependence between the two potential times and related to the use of standard estimators. CONCLUSIONS We demonstrated through simulations that one can handle patients selection in the risk sets due to the competing event, and thus obtain conditional independence between the two potential times, adjusting for all the observed covariates that induce dependence.
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Affiliation(s)
- Elena Tassistro
- Bicocca Center of Bioinformatics, Biostatistics and Bioimaging (B4 centre), School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
| | - Davide Paolo Bernasconi
- Bicocca Center of Bioinformatics, Biostatistics and Bioimaging (B4 centre), School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Maria Grazia Valsecchi
- Bicocca Center of Bioinformatics, Biostatistics and Bioimaging (B4 centre), School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Biostatistics and Clinical Epidemiology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Laura Antolini
- Bicocca Center of Bioinformatics, Biostatistics and Bioimaging (B4 centre), School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
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Major A, Palese M, Ermis E, James A, Villarroel M, Klussmann FA, Hessissen L, Geel J, Khan MS, Dalvi R, Sullivan M, Kearns P, Frazier AL, Pritchard-Jones K, Nakagawara A, Rodriguez-Galindo C, Volchenboum SL. Mapping Pediatric Oncology Clinical Trial Collaborative Groups on the Global Stage. JCO Glob Oncol 2022; 8:e2100266. [PMID: 35157510 PMCID: PMC8853619 DOI: 10.1200/go.21.00266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The global pediatric oncology clinical research landscape, particularly in Central and South America, Africa, and Asia, which bear the highest burden of global childhood cancer cases, is less characterized in the literature. Review of how existing pediatric cancer clinical trial groups internationally have been formed and how their research goals have been pursued is critical for building global collaborative research and data-sharing efforts, in line with the WHO Global Initiative for Childhood Cancer. Local stakeholder engagement is necessary to collaborate with global pediatric cancer trial groups.![]()
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Affiliation(s)
- Ajay Major
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL
| | - Monica Palese
- Department of Pediatrics, University of Chicago, Chicago, IL
| | - Ebru Ermis
- Department of Pediatrics, University of Chicago, Chicago, IL
| | - Anthony James
- Department of Pediatrics, University of Chicago, Chicago, IL
| | - Milena Villarroel
- Grupo de América Latina de Oncología Pediátrica (GALOP), Hospital Luis Calvo Mackenna, National Pediatric Cancer Program (PINDA), Santiago, Chile
| | - Federico Antillon Klussmann
- National Unit of Pediatric Oncology, Francisco Marroquin University School of Medicine, Guatemala City, Guatemala
| | - Laila Hessissen
- Pediatric Hematology and Oncology, Mohammed V University of Rabat, Rabat, Morocco
| | - Jennifer Geel
- Faculty of Health Sciences, Division of Pediatric Haematology and Oncology, Department of Pediatrics and Child Health, University of the Witwatersrand, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Muhammad Saghir Khan
- Department of Pediatrics, King Faisal Specialist Hospital and Research Center, Al Madinah, Saudi Arabia
| | - Rashmi Dalvi
- Bombay Hospital Institute of Medical Sciences and SRCC Children's Hospital, Mumbai, India
| | - Michael Sullivan
- Children's Cancer Centre, Royal Children's Hospital, Melbourne, Australia
| | - Pamela Kearns
- Cancer Research UK Clinical Trials Unit, National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, Institute of Cancer and Genomic Sciences, Birmingham, United Kingdom
| | | | - Kathy Pritchard-Jones
- UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
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