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1.
Clin Transl Oncol ; 2024 Jul 06.
Artigo em Inglês | MEDLINE | ID: mdl-38970770

RESUMO

PURPOSE: Malignant pleural mesothelioma (MPM) is an aggressive cancer with long latency and poor prognosis. The real-world treatment patterns and humanistic burden of MPM in an international cohort of patients were recently published. Spanish data are currently lacking and are reported here. METHODS/PATIENTS: Data were collected from three sources: physician-abstracted demographic, clinical and treatment characteristics of patients with MPM; patient-completed questionnaires on treatment satisfaction, symptoms, caregiver use, and impact of the disease; and caregiver-completed questionnaire reporting their activity and its impact on their daily life. RESULTS: The 241 patients in Spain were primarily elderly (median age: 67 years), male, retired/unemployed/on long-term sick leave, and diagnosed at stage IV with unresectable disease. Exposure to asbestos was detected (54%, 101/188). First-line treatment (1L) consisted primarily of doublet chemotherapy (86%, 207/241). Of 102 patients who completed 1L at data abstraction, 67 were receiving maintenance therapy, most commonly singlet chemotherapy with pemetrexed. Best supportive care was given to 29 patients, primarily after 1L (86.2%, 25/29). Symptom burden was high and health-related quality of life was poor and declined with progression: mean (SD) EQ-5D score and EQ-5D visual analogue scale score were 0.615 (0.285) and 60.8 (17.1) in 1L and 0.497 (0.370) and 56.1 (19.5) in second line. Overall, 67% of patients (162/241) required daily assistance from their caregiver, who reported an impact on their psychological well-being. CONCLUSIONS: Patients with MPM in Spain were overall treated according to treatment guidelines at the time. Nevertheless, a considerable burden of disease was reported by patients and caregivers.

2.
Clin Transl Oncol ; 12(12): 829-35, 2010 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-21156414

RESUMO

INTRODUCTION: In stage I non-small-cell lung cancer (NSCLC) tumour size has been the most consistent determinant of survival. The choice of therapy option is based on accurate definition of the stage. The aim of our study is to correlate tumour size by computed tomography scan (CT) with pathologic size and to determine possible prognostic factors in surgically resected pathologic stage IA and IB NSCLC patients. METHODS: Retrospective review of CT scans and medical history data from 89 pathologic stage I NSCLC patients. Clinical prognostic factors analysed were age, gender, smoking status, pulmonary function, performance status (PS), surgical procedure, histopathology, vessel invasion, pleural infi ltration, tumour size and number of lymph nodes resected. According to the new TNM classification for lung cancer, tumour size was divided into five groups (I: <2 cm, II: 2-3 cm, III: 3-5 cm, IV: 5-7 cm and V: >7 cm). RESULTS: After a median surveillance of 55.2 months, 42 patients relapsed and 55 had died. The 5-year progressionfree survival was 55.7% and 5-year overall survival (OS) 49.9% (median 58.97 months). None of the clinical parameters analysed were predictors of OS. Significant correlation was found between tumour size in CT scan and pathologic stage (Pearson 0.75). CONCLUSIONS: In our analysis with 89 surgically resected stage IA and IB NSCLC patients we found a good correlation between clinical and pathologic tumour size by CT scan. The prognoses factors analysed had no significant impact on survival.


Assuntos
Carcinoma Pulmonar de Células não Pequenas/diagnóstico por imagem , Neoplasias Pulmonares/diagnóstico por imagem , Adulto , Idoso , Idoso de 80 Anos ou mais , Carcinoma Pulmonar de Células não Pequenas/patologia , Carcinoma Pulmonar de Células não Pequenas/cirurgia , Feminino , Humanos , Pulmão/patologia , Neoplasias Pulmonares/patologia , Neoplasias Pulmonares/cirurgia , Linfonodos/diagnóstico por imagem , Linfonodos/patologia , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Prognóstico , Estudos Retrospectivos , Análise de Sobrevida , Tomografia Computadorizada por Raios X
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