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Interpreting clinical trial data in multiple myeloma: translating findings to the real-world setting
PG. Richardson, JF. San Miguel, P. Moreau, R. Hajek, MA. Dimopoulos, JP. Laubach, A. Palumbo, K. Luptakova, D. Romanus, T. Skacel, SK. Kumar, KC. Anderson,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, přehledy
Grantová podpora
P50 CA186781
NCI NIH HHS - United States
NLK
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
Freely Accessible Science Journals
od 2011-01-28
Nature Open Access
od 2011-01-01
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
Springer Nature OA/Free Journals
od 2011-01-01
- MeSH
- disparity zdravotní péče MeSH
- interpretace statistických dat * MeSH
- klinické zkoušky jako téma * MeSH
- komorbidita MeSH
- lidé MeSH
- mnohočetný myelom diagnóza epidemiologie mortalita terapie MeSH
- prognóza MeSH
- staging nádorů MeSH
- výsledek terapie MeSH
- výzkumný projekt MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
Substantial improvements in survival have been seen in multiple myeloma (MM) over recent years, associated with the introduction and widespread use of multiple novel agents and regimens, as well as the emerging treatment paradigm of continuous or long-term therapy. However, these therapies and approaches may have limitations in the community setting, associated with toxicity burden, patient burden, and other factors including cost. Consequently, despite improvements in efficacy in the rigorously controlled clinical trials setting, the same results are not always achieved in real-world practice. Furthermore, the large number of different treatment options and regimens under investigation in various MM settings precludes the feasibility of obtaining head-to-head clinical trial data, and there is a temptation to use cross-trial comparisons to evaluate data across regimens. However, multiple aspects, including patient-related, disease-related, and treatment-related factors, can influence clinical trial outcomes and lead to differences between studies that may confound direct comparisons between data. In this review, we explore the various factors requiring attention when evaluating clinical trial data across available agents/regimens, as well as other considerations that may impact the translation of these findings into everyday MM management. We also investigate discrepancies between clinical trial efficacy and real-world effectiveness through a literature review of non-clinical trial data in relapsed/refractory MM on novel agent-based regimens and evaluate these data in the context of phase 3 trial results for recently approved and commonly used regimens. We thereby demonstrate the complexity of interpreting data across clinical studies in MM, as well as between clinical studies and routine-care analyses, with the aim to help clinicians consider all the necessary issues when tailoring individual patients' treatment approaches.
Centro Investigación Medica Aplicada IDISNA
CIBERONC Clinica Universidad de Navarra Pamplona Spain
Department of Hematology University Hospital Hôtel Dieu Nantes France
Department of Hematooncology University Hospital Ostrava Ostrava Czech Republic
Division of Hematology Mayo Clinic Rochester MN USA
Citace poskytuje Crossref.org
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- $a Substantial improvements in survival have been seen in multiple myeloma (MM) over recent years, associated with the introduction and widespread use of multiple novel agents and regimens, as well as the emerging treatment paradigm of continuous or long-term therapy. However, these therapies and approaches may have limitations in the community setting, associated with toxicity burden, patient burden, and other factors including cost. Consequently, despite improvements in efficacy in the rigorously controlled clinical trials setting, the same results are not always achieved in real-world practice. Furthermore, the large number of different treatment options and regimens under investigation in various MM settings precludes the feasibility of obtaining head-to-head clinical trial data, and there is a temptation to use cross-trial comparisons to evaluate data across regimens. However, multiple aspects, including patient-related, disease-related, and treatment-related factors, can influence clinical trial outcomes and lead to differences between studies that may confound direct comparisons between data. In this review, we explore the various factors requiring attention when evaluating clinical trial data across available agents/regimens, as well as other considerations that may impact the translation of these findings into everyday MM management. We also investigate discrepancies between clinical trial efficacy and real-world effectiveness through a literature review of non-clinical trial data in relapsed/refractory MM on novel agent-based regimens and evaluate these data in the context of phase 3 trial results for recently approved and commonly used regimens. We thereby demonstrate the complexity of interpreting data across clinical studies in MM, as well as between clinical studies and routine-care analyses, with the aim to help clinicians consider all the necessary issues when tailoring individual patients' treatment approaches.
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