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Wang M, Ma H, Shi Y, Ni H, Qin C, Ji C. Single-arm clinical trials: design, ethics, principles. BMJ Support Palliat Care 2024; 15:46-54. [PMID: 38834238 DOI: 10.1136/spcare-2024-004984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024]
Abstract
Although randomised controlled trials are considered the gold standard in clinical research, they are not always feasible due to limitations in the study population, challenges in obtaining evidence, high costs and ethical considerations. As a result, single-arm trial designs have emerged as one of the methods to address these issues. Single-arm trials are commonly applied to study advanced-stage cancer, rare diseases, emerging infectious diseases, new treatment methods and medical devices. Single-arm trials have certain ethical advantages over randomised controlled trials, such as providing equitable treatment, respecting patient preferences, addressing rare diseases and timely management of adverse events. While single-arm trials do not adhere to the principles of randomisation and blinding in terms of scientific rigour, they still incorporate principles of control, balance and replication, making the design scientifically reasonable. Compared with randomised controlled trials, single-arm trials require fewer sample sizes and have shorter trial durations, which can help save costs. Compared with cohort studies, single-arm trials involve intervention measures and reduce external interference, resulting in higher levels of evidence. However, single-arm trials also have limitations. Without a parallel control group, there may be biases in interpreting the results. In addition, single-arm trials cannot meet the requirements of randomisation and blinding, thereby limiting their evidence capacity compared with randomised controlled trials. Therefore, researchers consider using single-arm trials as a trial design method only when randomised controlled trials are not feasible.
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Affiliation(s)
- Minyan Wang
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Huan Ma
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yun Shi
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Haojie Ni
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Chu Qin
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Conghua Ji
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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2
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Thomassen D, Roychoudhury S, Amdal CD, Reynders D, Musoro JZ, Sauerbrei W, Goetghebeur E, le Cessie S. The role of the estimand framework in the analysis of patient-reported outcomes in single-arm trials: a case study in oncology. BMC Med Res Methodol 2024; 24:290. [PMID: 39580440 PMCID: PMC11585159 DOI: 10.1186/s12874-024-02408-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 11/07/2024] [Indexed: 11/25/2024] Open
Abstract
BACKGROUND Patient-reported outcomes (PROs) play an increasing role in the evaluation of oncology treatments. At the same time, single-arm trials are commonly included in regulatory approval submissions. Because of the high risk of biases, results from single-arm trials require careful interpretation. This benefits from a clearly defined estimand, or target of estimation. In this case study, we demonstrated how the ICH E9 (R1) estimand framework can be implemented in SATs with PRO endpoints. METHODS For the global quality of life outcome in a real single-arm lung cancer trial, a range of possible estimands was defined. We focused on the choice of the variable of interest and strategies to deal with intercurrent events (death, treatment discontinuation and disease progression). Statistical methods were described for each estimand and the corresponding results on the trial data were shown. RESULTS Each intercurrent event handling strategy resulted in its own estimated mean global quality of life over time, with a specific interpretation, suitable for a corresponding clinical research aim. In the setting of this case study, a 'while alive' strategy for death and a 'treatment policy' strategy for non-terminal intercurrent events were deemed aligned with a descriptive research aim to inform clinicians and patients about expected quality of life after the start of treatment. CONCLUSIONS The results show that decisions made in the estimand framework are not trivial. Trial results and their interpretation strongly depend on the chosen estimand. The estimand framework provides a structure to match a research question with a clear target of estimation, supporting specific clinical decisions. Adherence to this framework can help improve the quality of data collection, analysis and reporting of PROs in SATs, impacting decision making in clinical practice.
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Affiliation(s)
- Doranne Thomassen
- Department of Biomedical Data Sciences, Leiden University Medical Center, P.O. box 9600, Postzone S-05-S, Leiden, 2300 RC, The Netherlands.
| | | | - Cecilie Delphin Amdal
- Research Support Services, Oslo University Hospital, Oslo, Norway
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Dries Reynders
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Jammbe Z Musoro
- European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Willi Sauerbrei
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Els Goetghebeur
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Saskia le Cessie
- Department of Biomedical Data Sciences, Leiden University Medical Center, P.O. box 9600, Postzone S-05-S, Leiden, 2300 RC, The Netherlands
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Fornacon-Wood I, Nuamek T, Hudson EM, Kendall J, Absolom K, O'Hara C, Palmer R, Price G, Velikova G, Yorke J, Faivre-Finn C, Price JM. Analyzing Patient-Reported Outcome Data in Oncology Care. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)03526-0. [PMID: 39491630 DOI: 10.1016/j.ijrobp.2024.10.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 10/16/2024] [Accepted: 10/19/2024] [Indexed: 11/05/2024]
Affiliation(s)
- Isabella Fornacon-Wood
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Thitikorn Nuamek
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Eleanor M Hudson
- Clinical Trials Research Unit, University of Leeds, Leeds, United Kingdom
| | - Jessica Kendall
- Clinical Trials Research Unit, University of Leeds, Leeds, United Kingdom
| | - Kate Absolom
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, England, United Kingdom
| | - Catherine O'Hara
- Department of Analytics, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Robert Palmer
- Centre for Healthcare Evaluation, Device Assessment and Research (CEDAR), Cardiff and Vale University Health Board, NHS Wales, Cardiff, United Kingdom
| | - Gareth Price
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Galina Velikova
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, England, United Kingdom; Leeds Cancer Centre, St James's University Hospital, Leeds, United Kingdom
| | - Janelle Yorke
- School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, China
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - James M Price
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom.
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Takahashi M, Okada H, Kogaki M, Shirokihara R, Kawate Y, Tokumasu H, Aoyama A. Short-term effects of preoperative nutritional intervention in lung surgery for malignant tumors: a single-center prospective study. Gen Thorac Cardiovasc Surg 2024; 72:466-472. [PMID: 38165558 DOI: 10.1007/s11748-023-01998-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/28/2023] [Indexed: 01/04/2024]
Abstract
OBJECTIVES Preoperative malnutrition is a risk factor for postoperative morbidity and mortality in patients with lung cancer. Assessing the preoperative nutritional status should be considered essential for patients scheduled to undergo lung surgery. This prospective study aimed to investigate whether preoperative nutritional intervention improves the nutritional conditions and short-term postoperative outcomes. METHODS The primary endpoints included safety, feasibility and short-term therapeutic efficacy of preoperative nutritional intervention. Patients with clinical stage I-III non-small cell lung cancer (histologically proven or suspected) were screened. Patient enrollment was conducted between January 2021 and December 2022. A total of 15 patients were included in the analysis. Patients with a preoperative prognostic nutritional index of < 45 were considered eligible. All participants received preoperative nutritional intervention. The trajectories of prognostic nutritional index and the incidence of postoperative complication rates in the intervention group were investigated. RESULTS No adverse events were observed during the nutritional intervention. The pre-intervention and post-intervention prognostic nutritional indices were 42.2 (39.8-44.5), and 43.1 (41.4-45.9), respectively (p = 0.04). The postoperative complication rate was 26.7% (n = 15). CONCLUSIONS This is the first prospective study to report the preoperative trajectories of prognostic nutritional index in patients undergoing lung cancer surgery. Our results suggest the safety and feasibility of preoperative nutritional intervention. Further research, such as randomized clinical trials, is warranted to investigate clinical efficacy and optimal nutritional interventions for lung surgery for malignant tumors.
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Affiliation(s)
- Mamoru Takahashi
- Department of Thoracic Surgery, Kyoto Katsura Hospital, 17 Yamada Hirao, Nishikyo, Kyoto, 615-8256, Japan.
| | - Harutaro Okada
- Department of Thoracic Surgery, Kyoto Katsura Hospital, 17 Yamada Hirao, Nishikyo, Kyoto, 615-8256, Japan
| | - Mako Kogaki
- Department of Nutrition, Kyoto Katsura Hospital, Kyoto, Japan
| | - Rio Shirokihara
- Department of Nutrition, Kyoto Katsura Hospital, Kyoto, Japan
| | - Yuka Kawate
- Department of Nutrition, Kyoto Katsura Hospital, Kyoto, Japan
| | - Hironobu Tokumasu
- Department of Clinical Research, Kurashiki Central Hospital, Okayama, Japan
| | - Akihiro Aoyama
- Department of Thoracic Surgery, Kyoto Katsura Hospital, 17 Yamada Hirao, Nishikyo, Kyoto, 615-8256, Japan
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Uneno Y, Fukuyama K, Nishimura A, Eguchi K, Kojima H, Umino T, Miyazaki K, Negora E, Minashi K, Sugiyama O, Shimazu T, Muto M, Matsumoto S. Barriers and Facilitators to the Implementation of an Electronic Patient-Reported Outcome System at Cancer Hospitals in Japan. Cureus 2024; 16:e58611. [PMID: 38770482 PMCID: PMC11102941 DOI: 10.7759/cureus.58611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 05/22/2024] Open
Abstract
Background and objective Implementing electronic patient-reported outcomes (ePROs) in oncology practice has shown substantial clinical benefits. However, it can be challenging in routine practice, warranting strategies to adapt to different clinical contexts. In light of this, this study aimed to describe the implementation process of the ePRO system and elucidate the provider-level implementation barriers and facilitators to a novel ePRO system at cancer hospitals in Japan. Methods We implemented an ePRO system linked to electronic medical records at three cancer hospitals. Fifteen patients with solid cancers at the outpatient oncology unit were asked to regularly complete the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) questionnaire and European Organization for Research and Treatment Core Quality of Life questionnaire (EORTC QLQ C30) by using the smartphone app between October 2021 and June 2022. Thirteen healthcare professionals were interviewed to identify implementation barriers and facilitators to the ePRO system by using the Consolidated Framework for Implementation Research framework. Results The healthcare professionals identified a lack of clinical resources and a culture and system that emphasizes treatment over care as the main barriers; however, the accumulation of successful cases, the leadership of managers, and the growing needs of patients can serve as facilitators to the implementation. Conclusions Our experience implementing an ePRO system in a few Japanese oncology practices revealed comprehensive barriers and facilitators. Further efforts are warranted to develop more successful implementation strategies.
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Affiliation(s)
- Yu Uneno
- Department of Medical Oncology, Graduate School of Medicine, Kyoto University, Kyoto, JPN
| | - Keita Fukuyama
- Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, JPN
| | - Ayumi Nishimura
- Department of Health Informatics, Graduate School of Medicine, School of Public Health, Kyoto University, Kyoto, JPN
| | - Kana Eguchi
- Department of Real World Data R&D, Graduate School of Medicine, Kyoto University, Kyoto, JPN
| | - Hideki Kojima
- Healthcare Solution Department, Marketing Insight Division, INTAGE Healthcare Inc., Tokyo, JPN
| | - Takeshi Umino
- Clinical Research Department, Medical Evidence Division, INTAGE Healthcare Inc., Tokyo, JPN
| | - Kikuko Miyazaki
- Department of Health Informatics, Graduate School of Medicine, School of Public Health, Kyoto University, Kyoto, JPN
| | - Eiju Negora
- Department of Hematology and Oncology, Faculty of Medical Sciences, University of Fukui, Fukui, JPN
| | - Keiko Minashi
- Clinical Trial Promotion Department, Chiba Cancer Center, Chiba, JPN
| | - Osamu Sugiyama
- Department of Informatics, Kindai University, Higashiosaka, JPN
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, JPN
| | - Manabu Muto
- Department of Medical Oncology, Graduate School of Medicine, Kyoto University, Kyoto, JPN
| | - Shigemi Matsumoto
- Department of Real World Data R&D, Graduate School of Medicine, Kyoto University, Kyoto, JPN
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Moore DC, Elmes JB, Strassels SA, Patel JN. Use of patient-reported outcome measures for oncology drugs receiving accelerated approval. Support Care Cancer 2023; 31:602. [PMID: 37773545 DOI: 10.1007/s00520-023-08068-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023]
Abstract
Patient-reported outcomes (PROs) represent an important evaluation of health-related quality of life that has become more commonly incorporated into oncology drug clinical trials. The frequency of PRO inclusion as an endpoint in oncology drug clinical trials leading to the initial accelerated approval of a new therapy is not yet known. We conducted a cross-sectional study evaluating all new drug applications submitted to the FDA over the past 10 years (2013-2022) that led to the initial approval of an oncology drug through the accelerated approval process. The objective was to assess whether the trials leading to such an approval included PROs. Between 2013 and 2022, the FDA approved 59 unique drugs for an oncology indication via the accelerated approval pathway, and 35 (59%) included a PRO assessment in the clinical trial. A median of 1 PRO measurement was used in each trial, with 23 different types of PRO assessment tools were used across the 59 new drug applications. In summary, we found that PRO measurements are inconsistently utilized in trials leading to initial accelerated approval of oncology drugs, and there seems to be a lack of harmonization of different PRO measurement tools used across trials.
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Affiliation(s)
- Donald C Moore
- Department of Pharmacy, Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
| | - Joseph B Elmes
- Department of Pharmacy, Levine Cancer Institute, Atrium Health, 100 Medical Park Drive, Concord, NC, 28025, USA
| | - Scott A Strassels
- Department of Pharmacy, Atrium Health, 4400 Golf Acres Drive, Charlotte, NC, 28232, USA
| | - Jai N Patel
- Department of Cancer Pharmacology and Pharmacogenomics, Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA
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