V. Di Nunno, L. Gatto, Marta Aprile, S. Bartolini, A. Tosoni, Enrico Franceschi
{"title":"Economic Income And Survival In Patients Affected By Glioblastoma: A Systematic Review And Meta-Analysis","authors":"V. Di Nunno, L. Gatto, Marta Aprile, S. Bartolini, A. Tosoni, Enrico Franceschi","doi":"10.1093/nop/npae045","DOIUrl":null,"url":null,"abstract":"\n \n \n Within socio-economic variables, economic income has been associated with the prognosis of patients with glioblastoma. However, studies investigating this issue provided conflicting results\n \n \n \n We carried out a systematic review and meta-analysis of studies investigating the correlation between economic income and survival in patients with glioblastoma. The inverse variance technique for HR assessment has been employed reporting the random effect model.\n \n \n \n We included 12 studies for a total of 143303 GBM patients (67463 with high economic income, and 25679 with low economic income). In the overall analysis, lower economic income resulted in poorer survival (pooled HR 1.09, 95%CI, 1.02-1.17, I2=64%). Variables like the type of Health Care System (public, private, or mixed) and the time in which patients have been treated (pre or post-EORTC-NCIC trial 22981/26981, CE.3 protocol advent) did not modify survival on pooled analysis.\n \n \n \n Economic conditions and income influence the prognosis of patients with glioblastoma. A better understanding of the modifiable barriers leading to treatment disparities in more disadvantaged patients is warranted to make equal oncological care.\n","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":" 18","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nop/npae045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Within socio-economic variables, economic income has been associated with the prognosis of patients with glioblastoma. However, studies investigating this issue provided conflicting results
We carried out a systematic review and meta-analysis of studies investigating the correlation between economic income and survival in patients with glioblastoma. The inverse variance technique for HR assessment has been employed reporting the random effect model.
We included 12 studies for a total of 143303 GBM patients (67463 with high economic income, and 25679 with low economic income). In the overall analysis, lower economic income resulted in poorer survival (pooled HR 1.09, 95%CI, 1.02-1.17, I2=64%). Variables like the type of Health Care System (public, private, or mixed) and the time in which patients have been treated (pre or post-EORTC-NCIC trial 22981/26981, CE.3 protocol advent) did not modify survival on pooled analysis.
Economic conditions and income influence the prognosis of patients with glioblastoma. A better understanding of the modifiable barriers leading to treatment disparities in more disadvantaged patients is warranted to make equal oncological care.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.