Quality of life after different procedures for regional control in oral cancer patients: cross-sectional survey

2016 ◽  
Vol 41 (3) ◽  
pp. 228-233 ◽  
Author(s):  
T.M. Govers ◽  
W.H. Schreuder ◽  
W.M.C. Klop ◽  
J.P.C. Grutters ◽  
M.M. Rovers ◽  
...  
2021 ◽  
Vol 17 (8) ◽  
pp. 979-990
Author(s):  
Monal Yuwanati ◽  
Shailesh Gondivkar ◽  
Sachin C Sarode ◽  
Amol Gadbail ◽  
Ami Desai ◽  
...  

Aim: The purpose of this meta-analysis was to evaluate the impact of oral health on quality of life in oral cancer patients (OCPs). Methods: PubMed, Scopus and Web of Science databases were searched for publications on oral health-related quality of life (OHRQoL) in OCP and the information was extracted according to the PRISMA guidelines. A random effect model was used to obtain the pooled standard mean differences of Oral Health Impact Profile (OHIP)-14 questionnaire responses in meta-analysis. Results: total of 12 research papers were analyzed and revealed poor OHRQoL in OCPs (standard mean difference: 2.53; 95% CI: 1.55–3.50; p < 0.00001) compared with healthy individuals due to the effects of oncotherapy. Moreover, OHRQoL deteriorated with combinations of different treatment modalities. Conclusion: Oral health and oncotherapy can affect the quality of life in OCPs.


2009 ◽  
Vol 73 (3) ◽  
pp. 772-778 ◽  
Author(s):  
Ryo-ichi Yoshimura ◽  
Hitoshi Shibuya ◽  
Masahiko Miura ◽  
Hiroshi Watanabe ◽  
Fumio Ayukawa ◽  
...  

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 463-463
Author(s):  
Pauline Filippou ◽  
Sean McCabe ◽  
Hannah McCloskey ◽  
Kathryn Gessner ◽  
Judy Hamad ◽  
...  

463 Background: Quality of life among cancer survivors has been shown to vary by age. Our objective was to evaluate differences in general and bladder cancer-specific quality of life based on age among a large cross-sectional bladder cancer cohort. Methods: We performed a cross-sectional survey of bladder cancer patients using the Bladder Cancer Advocacy Network Patient Survey Network and Inspire platforms to determine general and bladder cancer-specific quality of life (QOL) using the EORTC QLQ-C30 and Bladder Cancer Index. Patients were also queried regarding demographic, socioeconomic and clinical characteristics. We present descriptive statistics and a multiple linear regression model to identify factors independently associated with QOL domain score. Results: 972 respondents self-identified as patients with bladder cancer, of whom 41% were female and 97 % were white. The mean age was 67.6 years (range 29 to 93 years). Respondents were highly educated (67% completed college). 63% of patients identified as having non-invasive (NMIBC) cancer (n=578), 30% had MIBC (n=270), and 7% had metastatic bladder cancer (n=63). On multivariable analysis, older age was significantly associated with better generic QOL and urinary function ( Table), but not sexual function (p=0.19) or bowel function (p=0.73), controlling for sex, race, stage, comorbidity and years since diagnosis. Conclusions: Higher general and domain-specific QOL scores are more common among older bladder cancer patients. Differential impact by age may be important for the development of tailored interventions to improve QOL for bladder cancer patients. [Table: see text]


2011 ◽  
Vol 20 (3) ◽  
pp. 294-301 ◽  
Author(s):  
A. Papadopoulos ◽  
I. Vrettos ◽  
K. Kamposioras ◽  
F. Anagnostopoulos ◽  
G. Giannopoulos ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 4398
Author(s):  
Davide De Cicco ◽  
Gianpaolo Tartaro ◽  
Fortunato Ciardiello ◽  
Morena Fasano ◽  
Raffaele Rauso ◽  
...  

Background: health-related quality of life (HRQOL) represents a secondary endpoint of medical interventions in oncological patients. Our aim was to highlight potential sources of bias that could be encountered when evaluating HRQOL in oral cancer patients. Methods: this review followed PRISMA-ScR recommendations. Participants: patients treated for oral cancer. Concept: HRQOL assessed by EORTC QLQ-C30 and QLQ-H&N35/QLQ-H&N43. A critical appraisal of included studies was performed to evaluate the accuracy of data stratification with respect to HRQOL determinants. Results: overall, 30 studies met the inclusion criteria, totaling 1833 patients. In total, 8 sociodemographic (SDG) and 15 disease/treatment-specific (DT) HRQOL determinants (independent variables) were identified. The mean number of the independent variables was 6.1 (SD, 4.3)—5.0 (SD, 4.0) DT-related and 1.1 (SD, 1.8) SDG-related variables per article. None of the included papers considered all the identified determinants simultaneously. Conclusions: a substantial lack of evidence regarding HRQOL determinants was demonstrated. This strongly weakens the reliability of the reported findings due to the challenging presence of baseline confounding, selection, and omitted variable biases. The proposed approach recommends the use of further evaluation tools that gather more variables in a single score together with a selection of more homogeneous, reproducible, and comparable cohorts based on the identified baseline confounding.


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