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Gloy V, Schmitt AM, Düblin P, Hirt J, Axfors C, Kuk H, Pereira TV, Locher C, Caquelin L, Walter-Claudi M, Lythgoe MP, Herbrand A, Kasenda B, Hemkens LG. The evidence base of US Food and Drug Administration approvals of novel cancer therapies from 2000 to 2020. Int J Cancer 2023; 152:2474-2484. [PMID: 36779785 DOI: 10.1002/ijc.34473] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/25/2023] [Accepted: 01/31/2023] [Indexed: 02/14/2023]
Abstract
Concerns have been raised that regulatory programs to accelerate approval of cancer drugs in cancer may increase uncertainty about benefits and harms for survival and quality of life (QoL). We analyzed all pivotal clinical trials and all non-pivotal randomized controlled trials (RCTs) for all cancer drugs approved for the first time by the FDA between 2000 and 2020. We report regulatory and trial characteristics. Effects on overall survival (OS), progression-free survival and tumor response were summarized in meta-analyses. Effects on QoL were qualitatively summarized. Between 2000 and 2020, the FDA approved 145 novel cancer drugs for 156 indications based on 190 clinical trials. Half of indications (49%) were approved without RCT evidence; 82% had a single clinical trial only. OS was primary endpoint in 14% of trials and QoL data were available from 25%. The median OS benefit was 2.55 months (IQR, 1.33-4.28) with a mean hazard ratio for OS of 0.75 (95%CI, 0.72-0.79, I2 = 42). Improvement for QoL was reported for 7 (4%) of 156 indications. Over time, priority review was used increasingly and the mean number of trials per indication decreased from 1.45 to 1.12. More trials reported results on QoL (19% in 2000-2005; 41% in 2016-2020). For 21 years, novel cancer drugs have typically been approved based on one single, often uncontrolled, clinical trial, measuring surrogate endpoints. This leaves cancer patients without solid evidence that novel drugs improve their survival or QoL and there is no indication towards improvement.
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Affiliation(s)
- Viktoria Gloy
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Andreas M Schmitt
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
- Department of Medical Oncology, University Hospital Basel, Basel, Switzerland
- Department of Medical Oncology, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Pascal Düblin
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
| | - Julian Hirt
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
- International Graduate Academy, Institute of Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Nursing Science, Department of Health, Eastern Switzerland University of Applied Sciences, St. Gallen, Switzerland
| | - Cathrin Axfors
- Department for Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
| | - Hanna Kuk
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Tiago V Pereira
- Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's Hospital University of Toronto Canada
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Clara Locher
- Univ Rennes, CHU Rennes, Inserm, Centre d'investigation clinique de Rennes (CIC1414), service de pharmacologie clinique, Institut de recherche en santé, environnement et travail (Irset), Rennes, France
| | - Laura Caquelin
- Univ Rennes, CHU Rennes, Inserm, Centre d'investigation clinique de Rennes (CIC1414), service de pharmacologie clinique, Institut de recherche en santé, environnement et travail (Irset), Rennes, France
| | | | - Mark P Lythgoe
- Department of Surgery & Cancer, Hammersmith Hospital, Imperial College London, London, UK
| | - Amanda Herbrand
- Department of Medical Oncology, University Hospital Basel, Basel, Switzerland
| | - Benjamin Kasenda
- Department of Medical Oncology, University Hospital Basel, Basel, Switzerland
| | - Lars G Hemkens
- Department of Clinical Research, University of Basel and University Hospital Basel, Basel, Switzerland
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Meta-Research Innovation Center Berlin (METRIC-B), Berlin Institute of Health, Berlin, Germany
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Merluzzi TV, Zhang G, Philip EJ, Lee D, Salamanca-Balen N. Discerning critical stressors and resources in the lives of cancer patients: A multivariate analysis of targets of intervention for enhancing cancer care and quality of life. Psychooncology 2022; 31:1186-1195. [PMID: 35194880 DOI: 10.1002/pon.5906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 01/19/2022] [Accepted: 02/18/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study examined the relationship between a broad variety of stressors, resources, and outcomes to identify targets of intervention to enhance the quality of life of cancer patients and contribute to a comprehensive model of cancer care. METHODS Five hundred and sixty persons with a diagnosis of cancer completed measures of stressors (past negative life events, current problems, current symptoms, comorbidities), resources (coping self-efficacy, social support, satisfaction with care) and outcomes (emotional and functional well-being). RESULTS Multivariate canonical correlations between pairs of canonical variates (stressors-outcomes, Rc = 0.56; stressors-resources, Rc = 0.42, resources-outcomes Rc = 0.66) were significant (all ps < 0.0001), which confirmed the relationship between those components and supported proceeding to more granular levels of analysis. More refined analyses revealed that the most critical variables in relation to outcomes (i.e., emotional and functional well-being), were current problems and symptoms among the stressors and coping self-efficacy, social support and patient satisfaction among the resources. CONCLUSIONS This study provided an approach to the discernment of the most critical aspects of interventions that may improve supportive care and quality of life outcomes. Thus, efforts to address current problems (e.g., financial, home life, work), as well as effective management of symptoms (e.g., pain, fatigue, sleep), using the coordinated integration of medical care, support services and psycho-social interventions would provide the greatest impact on quality-of-life outcomes. Interventions that focus on problem solving and reinforce patient agency and activation may be most effective in sustaining quality of life outcomes into survivorship.
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Affiliation(s)
- Thomas V Merluzzi
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
| | - Guangjian Zhang
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
| | - Errol J Philip
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
| | - Dayoung Lee
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
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Gryaznov D, Odutayo A, von Niederhäusern B, Speich B, Kasenda B, Ojeda-Ruiz E, Blümle A, Schandelmaier S, Mertz D, Tomonaga Y, Amstutz A, Pauli-Magnus C, Gloy V, Bischoff K, Wollmann K, Rehner L, Lohner S, Meerpohl JJ, Nordmann A, Klatte K, Ghosh N, Heravi AT, Wong J, Chow N, Hong PJ, Cord KM, Sricharoenchai S, Busse JW, Agarwal A, Saccilotto R, Schwenkglenks M, Moffa G, Hemkens LG, Hopewell S, von Elm E, Briel M. Rationale and design of repeated cross-sectional studies to evaluate the reporting quality of trial protocols: the Adherence to SPIrit REcommendations (ASPIRE) study and associated projects. Trials 2020; 21:896. [PMID: 33115541 PMCID: PMC7594472 DOI: 10.1186/s13063-020-04808-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 10/16/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Clearly structured and comprehensive protocols are an essential component to ensure safety of participants, data validity, successful conduct, and credibility of results of randomized clinical trials (RCTs). Funding agencies, research ethics committees (RECs), regulatory agencies, medical journals, systematic reviewers, and other stakeholders rely on protocols to appraise the conduct and reporting of RCTs. In response to evidence of poor protocol quality, the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guideline was published in 2013 to improve the accuracy and completeness of clinical trial protocols. The impact of these recommendations on protocol completeness and associations between protocol completeness and successful RCT conduct and publication remain uncertain. OBJECTIVES AND METHODS Aims of the Adherence to SPIrit REcommendations (ASPIRE) study are to investigate adherence to SPIRIT checklist items of RCT protocols approved by RECs in the UK, Switzerland, Germany, and Canada before (2012) and after (2016) the publication of the SPIRIT guidelines; determine protocol features associated with non-adherence to SPIRIT checklist items; and assess potential differences in adherence across countries. We assembled an international cohort of RCTs based on 450 protocols approved in 2012 and 402 protocols approved in 2016 by RECs in Switzerland, the UK, Germany, and Canada. We will extract data on RCT characteristics and adherence to SPIRIT for all included protocols. We will use multivariable regression models to investigate temporal changes in SPIRIT adherence, differences across countries, and associations between SPIRIT adherence of protocols with RCT registration, completion, and publication of results. We plan substudies to examine the registration, premature discontinuation, and non-publication of RCTs; the use of patient-reported outcomes in RCT protocols; SPIRIT adherence of RCT protocols with non-regulated interventions; the planning of RCT subgroup analyses; and the use of routinely collected data for RCTs. DISCUSSION The ASPIRE study and associated substudies will provide important information on the impact of measures to improve the reporting of RCT protocols and on multiple aspects of RCT design, trial registration, premature discontinuation, and non-publication of RCTs observing potential changes over time.
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Affiliation(s)
- Dmitry Gryaznov
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Ayodele Odutayo
- Applied Health Research Centre, Li Ka Shing Knowledge Instiute of St Michael’s Hospital, Toronto, Canada
- Oxford Clinical Trials Research Unit and Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Belinda von Niederhäusern
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
- Roche Pharma AG, Grenzach-Wyhlen, Germany
| | - Benjamin Speich
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Oxford Clinical Trials Research Unit and Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Benjamin Kasenda
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Department of Medical Oncology, University Hospital Basel, Basel, Switzerland
- iOMEDICO AG, Research & Development, Freiburg, Germany
| | - Elena Ojeda-Ruiz
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Preventive Medicine Department, Osakidetza Basque Health Service, Bioaraba Health Research Institute, Health Prevention, Promotion and Care Area, Araba University Hospital, Vitoria-Gasteiz, Spain
| | - Anette Blümle
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Stefan Schandelmaier
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Dominik Mertz
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Yuki Tomonaga
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Alain Amstutz
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Christiane Pauli-Magnus
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Viktoria Gloy
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Karin Bischoff
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Katharina Wollmann
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Laura Rehner
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Epidemiology and Community Health, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Szimonetta Lohner
- Cochrane Hungary, Clinical Centre of the University of Pécs, Medical School, University of Pécs, Pécs, Hungary
| | - Joerg J. Meerpohl
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany
| | - Alain Nordmann
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Katharina Klatte
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Nilabh Ghosh
- Department of Neurosurgery and Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ala Taji Heravi
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Jacqueline Wong
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Ngai Chow
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Patrick Jiho Hong
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Canada
| | - Kimberly Mc Cord
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Sirintip Sricharoenchai
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Jason W. Busse
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Anesthesia, McMaster University, Hamilton, Canada
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Ramon Saccilotto
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Matthias Schwenkglenks
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
- Institute of Pharmaceutical Medicine (ECPM), University of Basel, Basel, Switzerland
| | - Giusi Moffa
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | - Lars G. Hemkens
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
| | - Sally Hopewell
- Oxford Clinical Trials Research Unit and Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Erik von Elm
- Cochrane Switzerland, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Matthias Briel
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel and University of Basel, Spitalstrasse 12, 4031 Basel, Switzerland
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
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