Browsing by Author "Göksel, T"

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    FACT-L (functional assessment of cancer therapy-lung) psychometric properties of the Turkish version of quality of life scale (validity and reliability) and determination using the clinic (Akkaya-1 project)
    Basarik, B; Göksel, T; Erbaycu, AE; Eser, E; Öz, A; Çelik, P; Gürsul, KK; Ediz, EÇ; Hatipoglu, O; Yayla, BA; Baser, S; Baydur, H
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    Patient and physician delay in the diagnosis and treatment of non-small cell lung cancer in Turkey
    Yurdakul, AS; Kocatürk, C; Bayiz, H; Gürsoy, S; Bircan, A; Özcan, A; Akkoçlu, A; Uluorman, F; Çelik, P; Köksal, D; Ulubas, B; Sercan, E; Özbudak, Ö; Göksel, T; Önalan, T; Yamansavci, E; Türk, F; Yuncu, G; Çopuraslan, Ç; Mardal, T; Tuncay, E; Karamustafaoglu, A; Yildiz, P; Seçik, F; Kaplan, M; Çaglar, E; Ortaköylü, M; Önal, M; Turna, A; Hekimoglu, E; Dalar, L; Altin, S; Gülhan, M; Akpinar, E; Savas, I; Firat, N; Çamsari, G; Özkan, G; Çetinkaya, E; Kamiloglu, E; Çelik, B; Havlucu, Y
    Aim: The early diagnosis and treatment of lung cancer are important for the prognosis of patients with lung cancer. This study was undertaken to investigate patient and doctor delays in the diagnosis and treatment of NSCLC and the factors affecting these delays. Materials and methods: A total of 1016 patients, including 926 (91.1%) males and 90 (8.9%) females with a mean age of 61.5 +/- 10.1 years, were enrolled prospectively in this study between May 2010 and May 2011 from 17 sites in various Turkish provinces. Results: The patient delay was found to be 49.9 +/- 96.9 days, doctor delay was found to be 87.7 +/- 99.6 days, and total delay was found to be 131.3 +/- 135.2 days. The referral delay was found to be 61.6 +/- 127.2 days, diagnostic delay was found to be 20.4 +/- 44.5 days, and treatment delay was found to be 24.4 +/- 54.9 days. When the major factors responsible for these delays were examined, patient delay was found to be more frequent in workers, while referral delay was found to be more frequent in patients living in villages (p < 0.05). We determined that referral delay, doctor delay, and total delay increased as the number of doctors who were consulted by patients increased (p < 0.05). Additionally, we determined that diagnostic and treatment delays were more frequent at the early tumour stages in NSCLC patients (p < 0.05). Discussion: The extended length of patient delay underscores the necessity of educating people about lung cancer. To decrease doctor delay, education is a crucial first step. Additionally, to further reduce the diagnostic and treatment delays of chest specialists, multidisciplinary management and algorithms must be used regularly. (C) 2015 Elsevier Ltd. All rights reserved.
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    The Psychometric Properties and Clinical Use of the Turkish Version of the Functional Assessment of Cancer Therapy-Lung (FACT-L) Scale
    Aydogan, BB; Göksel, T; Erbaycu, AE; Öz, A; Çelik, P; Gürsul, KK; Edis, EÇ; Hatipoglu, O; Yayla, BA; Baser, S; Baydur, H; Eser, E
    Objectives:psychometric properties of the Turkish version of the Functional Assessment of Cancer Therapy-Lung (FACT-L) scale and the sensitivity to changes in clinical indicators. Patients and Methods:This study was conducted within the framework of a national multicentre project. Patients with either stage IIIB or IV primary lung cancer diagnosed after April 2010were included in thisstudy. A classical confirmatory approach was used for both the reliability and validity analyses. Internal consistency was tested using Cronbach's alpha value, and the validity analysis was performed using construct validity and clinical validity. Results:276 (92.3%) patients were male and the average age was 60.8 +/- 9.4 years. The most frequently observed histological type was squamous cell carcinoma (36.8%), and 61.5% of these stage IV tumours. Cronbachs alpha values for the subscales ranged from 0.60 to 0.84. The majority of the FACT-L subscales revealed inter-scale correlation coefficients greater than 0.35. All sub-dimensions, except that of the social/family well-being scale, are able to significantly discriminate between stages IIIB and IV. Significantly lower scale scores were detected in patients with stage IV than stage IIIB. The comparative fit index was 0.917, and the root mean square error of approximation was 0.091. Dyspnoea, haemoptysis, chest pain, weight loss, anorexia, localised pain, and fever symptoms had a significant correlation with the FACT-L, trial outcome index, and lung cancer subscale. Conclusion:Turkish version of the psychometric properties of the original FACT-L scale is regarded as a valid and reliable tool and can be used safely in a clinical context when managing patients with lung cancer in Turkey.
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    Comparison of generic and lung cancer-specific quality of life instruments for predictive ability of survival in patients with advanced lung cancer
    Eser, S; Göksel, T; Erbaycu, AE; Baydur, H; Basarik, B; Yanik, AÖ; Gürsul, KK; Çelik, P; Ediz, EÇ; Hatipoglu, O; Yayla, BA; Baser, S; Eser, E
    Background: Our purpose is to examine the relationship of Health related quality of life measured by EORTC QLQc30, QLQ-LC13; FACT-L, LCSS, Eq5D) with survival in advanced lung cancer patients. A total of 299 Lung Cancer (LC) patients were, included in this national multicenter Project entitled of the LC Quality of Life Project (AKAYAK). Baseline scores were analyzed by using Cox's proportional hazard regression to identify factors that influenced survival. Univariate and multivariate models were run for each of the scales included in the study. Results: Mean and median survival were 12.5 and 8.0 months respectively. Clinical stage (as TNM), comorbidity; symptom scales of fatigue, insomnia, appetit loss and constipation were associated with survival after adjustment for age and sex. Global, physical and role functioning scales of QLQc30; physical and functional scales of LCS and TOI of the FACT-L was also associated with survival. Mobility and Usual activities dimensions of the Eq5D; Physical functioning and the constipation symptom scale of the QLQ-c30; and LCS and TOI scores of the FACT-L remained statistically significant after adjustment. LC13 and LCSS scales were not predictors of survival. Conclusions: HRQOL serves as an additional predictive factor for survival that supplements traditional clinical factors. Besides the strong predictive ability of ECOG on survival, FACT-L and the Eq5D are the most promising HRQOL instruments for this purpose.
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    Comparison of different generic and lung cancer specific quality of life instruments for their predictive ability of survival in patients with advanced lung cancer
    Eser, S; Göksel, T; Erbaycu, AE; Eser, E; Basarik, B; Öz, A; Gürsul, KK; Çelik, P; Ediz, EÇ; Hatipoglu, O; Atay, B; Baser, S; Baydur, H
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    Patient and doctor delays in the diagnosis and treatment of non-small cell lung cancer in Turkey
    Yurdakul, A; Kocatürk, C; Bayiz, H; Gürsoy, S; Bircan, A; Özcan, A; Akkoçlu, A; Uluorman, F; Çelik, P; Köksal, D; Ulubas, B; Sercan, E; Özbudak, Ö; Göksel, T; Önalan, T; Yamansavci, E; Türk, F; Yuncu, G; Çopuraslan, Ç; Mardal, T; Tuncay, E; Karamustafaoglu, A; Yildiz, P; Seçik, F; Kaplan, M; Çaglar, E; Ortaköylü, M; Önal, M; Turna, A; Hekimoglu, E; Dalar, L; Altin, S; Gülhan, M; Akpinar, E; Savas, I; Firat, N; Çamsari, G; Özkan, G; Çetinkaya, E; Kamiloglu, E; Çelik, B; Havlucu, Y
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    COVID-19 Pandemic and the Global Perspective of Turkish Thoracic Society
    Köktürk, N; Itil, BO; Altinisik, G; Adigüzel, N; Akgün, M; Akyildiz, L; Altin, S; Arikan, H; Ates, G; Ay, P; Aykaç, N; Babayigit, C; Bostan, P; Cinel, G; Çalisir, HC; Çelik, P; Çetinkaya, PD; Dagli, E; Demir, AU; Demir, C; Dikensoy, Ö; Edis, EÇ; Elbek, O; Erdinç, M; Ergan, B; Eyüboglu, AFÖ; Gemicioglu, B; Göksel, T; Gülhan, E; Gültekin, Ö; Gürkan, CG; Gürgün, A; Havlucu, Y; Basoglu, OK; Karakurt, S; Karkurt, Z; Kilinç, O; Kocabas, A; Kul, S; Müsellim, B; Nayci, S; Özkan, M; Pinarer, Ö; Saltürk, C; Sandal, A; Sayiner, A; Sen, E; Simsek, GÖ; Karadag, BT; Akyil, FT; Töreyin, ZN; Uçan, ES; Küçük, FÇU; Varol, A; Yasin, Y; Yildiz, T; Yorgancioglu, AA; Bayram, H
    It has been more than 3 months now since the first case of COVID-19 was reported in Turkey. Globally, the number of confirmed cases and deaths reached 9,653,048 and 491,128 respectively, as reported by 216 countries by June 27, 2020. Turkey had 1,396 new cases, 194,511 total cases, and 5,065 deaths by the same date. From the first case until today, the Turkish Thoracic Society (TTS) has been very proactive in educating doctors, increasing public awareness, undertaking academic studies, and assisting with public health policies. In the present report, social, academic, and management perspectives of the pandemic are presented under appropriate subtitles. During this critical public health crisis, TTS has once again demonstrated its readiness and constructive stance by supporting public health, healthcare workers, and the environment. This review summarizes the perspective of TTS on each aspect of the COVID-19 pandemic and casts light on its contributions.