Pattern of care in radiotherapy at a University Hospital in Spain: the RENORT project
Clin. transl. oncol. (Print)
; 23(8): 1657-1665, ago. 2021. graf
Artigo
em Inglês
| IBECS
| ID: ibc-222164
Biblioteca responsável:
ES1.1
Localização: ES15.1 - BNCS
ABSTRACT
Purpose RENORT is a novel data mining application developed to extract relevant clinical data from oncology information systems (OIS; ARIA and Mosaiq) used in radiation oncology (RO). Methods/patients We used RENORT to extract demographic and clinical data from the OIS of all patients treated at the RO Department at the General Hospital of Valencia during the year 2019. Results A total of 1158 treatments were performed. The female/male ratio was 39.3%/60.7%, with a mean age of 66 years. The mean waiting time between the treatment decision/proposal to the first visit was 10.1 days. Mean duration of the treatment preparation process was 21 days. Most patients (90.4%) completed treatment within the prescribed time ± 7 days. The most common sites/treatment types were metastatic/palliative treatments (n = 300; 25.9%), breast (209; 18.0%), genitourinary (195; 16.8%), digestive (116; 10.0%), thoracic (104; 9.0%), head and neck (62; 5.4%), and skin cancer (51; 4.4%). The distribution according to treatment intent was as follows palliative (n = 266; 23.0%), adjuvant curative (335; 28.9%), radical without adjuvant treatment (229; 19.8%), radical with concomitant treatment (188; 16.2%), curative neoadjuvant (70; 6.0%), salvage radiotherapy (61; 5.3%); and reirradiation (9; 0.8%). The most common treatment techniques were IMRT/VMAT with IGRT (n = 468; 40.4%), 3D-CRT with IGRT (421; 36.4%), SBRT (127; 11.0%), 2DRT (57; 4.9%), and SFRT (56; 4.8%). A mean of 15.9 fractions were administered per treatment. Hypofractionated schemes were used in 100% of radical intent breast and prostate cancer treatments. Conclusions The RENORT application facilitates data retrieval from oncology information systems to allow for a comprehensive determination of the real role of radiotherapy in the treatment of cancer patients. This application is valuable to identify patterns of care and to assess treatment efficacy (AU)
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Texto completo:
Disponível
Coleções:
Bases de dados nacionais
/
Espanha
Base de dados:
IBECS
Assunto principal:
Condicionamento Físico Animal
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Neoplasias Cutâneas
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Neoplasias da Mama
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RNA Ribossômico 16S
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Radioterapia (Especialidade)
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Neuropatia Ciática
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Mineração de Dados
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Microbioma Gastrointestinal
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Perna (Membro)
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Neoplasias Hepáticas
Limite:
Humanos
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Feminino
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Masculino
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Idoso
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Animais
Idioma:
Inglês
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Espanhol
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Português
Revista:
Clin. transl. oncol. (Print)
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Actas dermo-sifiliogr. (Ed. impr.)
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Neurocirugía (Soc. Luso-Esp. Neurocir.)
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Nutr. hosp
Ano de publicação:
2022
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2021
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2023
Tipo de documento:
Artigo
Instituição/País de afiliação:
Guangzhou University of Traditional Chinese Medicine/China
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HM Hospitales/España
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Hospital General Universitario de Valencia/Spain
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Hospital Universitari Germans Trias i Pujol/España
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Hospital Universitario Gómez Ulla/España
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Hospital Universitario Madrid Sanchinarro/España
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Hospital Universitario Ramón y Cajal/España
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Jiangxi Science and Technology Normal University/China
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Jinan University (Shenzhen Peoples Hospital)/China