Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Survival prediction model"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Breast cancer (BC) is a major contributor to female mortality worldwide, particularly in young women with aggressive tumors. Despite the need for accurate prognosis in this demographic, existing studies primarily focus on broader age groups,
Externí odkaz:
https://doaj.org/article/3f7c5e0a300e4ac5b9f395df72fd7972
Autor:
Armin Khavandegar, Payman Salamati, Mohammadreza Zafarghandi, Vafa Rahimi-Movaghar, Mahdi Sharif-Alhoseini, Esmaeil Fakharian, Seyed Houssein Saeed-Banadaky, Vahid Hoseinpour, Farideh Sadeghian, Mehdi Nasr Isfahani, Vahid Rahmanian, Amir Ghadiphasha, Sobhan Pourmasjedi, Seyed Mohammad Piri, Sara Mirzamohamadi, Mahgol Sadat Hassan Zadeh Tabatabaei, Khatereh Naghdi, Vali Baigi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a
Externí odkaz:
https://doaj.org/article/d15de59702e54d25815c7734dd6fa4dd
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background We aimed to establish an osteosarcoma prognosis prediction model based on a signature of endoplasmic reticulum stress-related genes. Methods Differentially expressed genes (DEGs) between osteosarcoma with and without metastasis fr
Externí odkaz:
https://doaj.org/article/60058d0206e449afb9b8e6513a17243b
Autor:
Choong‐Jae Lee, Bin Baek, Sang Hee Cho, Tae‐Young Jang, So‐El Jeon, Sunjae Lee, Hyunju Lee, Jeong‐Seok Nam
Publikováno v:
Cancer Medicine, Vol 12, Iss 6, Pp 7603-7615 (2023)
Abstract Background Predicting the survival of cancer patients provides prognostic information and therapeutic guidance. However, improved prediction models are needed for use in diagnosis and treatment. Objective This study aimed to identify genomic
Externí odkaz:
https://doaj.org/article/dcc6fbaa54b642e386036981e7a06fba
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract Background The correlation and difference in T-cell phenotypes between peripheral blood lymphocytes (PBLs) and the tumor immune microenvironment (TIME) in patients with gastric cancer (GC) is not clear. We aimed to characterize the phenotype
Externí odkaz:
https://doaj.org/article/2c93d26c14c6447a8680ec79db88c2c0
Publikováno v:
BMC Pulmonary Medicine, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background To develop a prediction model predicting in-hospital mortality of elder patients with community-acquired pneumonia (CAP) admitted to the intensive care unit (ICU). Methods In this cohort study, data of 619 patients with CAP aged
Externí odkaz:
https://doaj.org/article/b7ed06bdc8d94410ae5bb2b9652c3545
Publikováno v:
BMC Medical Genomics, Vol 15, Iss 1, Pp 1-9 (2022)
Abstract Background Among the most lethal cancers, pancreatic adenocarcinoma (PAAD) is an essential component of digestive system malignancies that still lacks effective diagnosis and treatment methods. As exosomes and competing endogenous RNA (ceRNA
Externí odkaz:
https://doaj.org/article/02f3a5894d974916a1c1c4cba1a5c781
Akademický článek
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Akademický článek
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Publikováno v:
Geriatrics, Vol 8, Iss 5, p 105 (2023)
In an aging society, maintaining healthy aging, preventing death, and enabling a continuation of economic activities are crucial. This study sought to develop a model for predicting survival times among community-dwelling older individuals using a de
Externí odkaz:
https://doaj.org/article/e142f8fdff334a74894c7847fd294900