Missing the trees for the forest: most subgroup analyses using forest plots at the ASCO annual meeting are inconclusive

BACKGROUND: Oncologists often refer to forest plots to determine which patient subgroups may be more likely to benefit from a therapy tested in a randomized clinical trial (RCT). We sought to empirically determine the information content of subgroup comparisons from forest plots of RCTs. METHODS: We...

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Detalles Bibliográficos
Autores principales: Hahn, Andrew W., Dizman, Nazli, Msaouel, Pavlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168942/
https://www.ncbi.nlm.nih.gov/pubmed/35677319
http://dx.doi.org/10.1177/17588359221103199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168942/
https://www.ncbi.nlm.nih.gov/pubmed/35677319
http://dx.doi.org/10.1177/17588359221103199

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