Your browser doesn't support javascript.
loading
Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis.
Seo, Sung Wook; Kim, Jisoo; Son, Jihye; Lim, Sungbin.
Afiliação
  • Seo SW; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sungwseo@gmail.com.
  • Kim J; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Son J; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Lim S; Department of Industrial Engineering, Artificial Intelligence Graduate School, UNIST, Ulsan, Korea.
BMC Med Inform Decis Mak ; 20(1): 320, 2020 12 03.
Article em En | MEDLINE | ID: mdl-33272256
ABSTRACT

BACKGROUND:

The impact of adjuvant chemotherapy or radiation therapy on the survival of patients with synovial sarcoma (SS), which is a rare soft-tissue sarcoma, remains controversial. Bayesian statistical approaches and propensity score matching can be employed to infer treatment effects using observational data. Thus, this study aimed to identify the individual treatment effects of adjuvant therapies on the overall survival of SS patients and recognize subgroups of patients who can benefit from specific treatments using Bayesian subgroup analyses.

METHODS:

We analyzed data from patients with SS obtained from the surveillance, epidemiology, and end results (SEER) public database. These data were collected between 1984 and 2014. The treatment effects of chemotherapy and radiation therapy on overall survival were evaluated using propensity score matching. Subgroups that could benefit from radiation therapy or chemotherapy were identified using Bayesian subgroup analyses.

RESULTS:

Based on a stratified Kaplan-Meier curve, chemotherapy exhibited a positive average causal effect on survival in patients with SS, whereas radiation therapy did not. The optimal subgroup for chemotherapy includes the following covariates older than 20 years, male, large tumor (longest diameter > 5 cm), advanced stage (SEER 3), extremity location, and spindle cell type. The optimal subgroup for radiation therapy includes the following covariates older than 20 years, male, large tumor (longest diameter > 5 cm), early stage (SEER 1), extremity location, and biphasic type.

CONCLUSION:

In this study, we identified high-risk patients whose variables include age (age > 20 years), gender, tumor size, tumor location, and poor prognosis without adjuvant treatment. Radiation therapy should be considered in the early stages for high-risk patients with biphasic types. Conversely, chemotherapy should be considered for late-stage high-risk SS patients with spindle cell types.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Radioterapia / Quimioterapia Adjuvante / Sarcoma Sinovial Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: BMC Med Inform Decis Mak Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Radioterapia / Quimioterapia Adjuvante / Sarcoma Sinovial Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: BMC Med Inform Decis Mak Ano de publicação: 2020 Tipo de documento: Article