Person: DEMİRDÖĞEN, EZGİ
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
DEMİRDÖĞEN
First Name
EZGİ
Name
21 results
Search Results
Now showing 1 - 10 of 21
Publication Evaluation of asthma awareness among teachers in Bursa(Turkish Assoc Tuberculosis & Thorax, 2018-01-01) Aydın Güçlü, Özge; Karadağ, Mehmet; KARADAĞ, MEHMET; Demirdöğen Çetinoğlu, Ezgi; DEMİRDÖĞEN, EZGİ; Ceren, Aslı Macunluoğlu; Ediger, Dane; EDİGER, DANE; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/İmmunoloji Anabilim Dalı.; 0000-0002-9027-1132; 0000-0002-2954-4293; AAG-9930-2019; AAG-8744-2021; AAE-9142-2019Introduction: The purpose of this study was to elucidate the asthma knowledge level of primary-secondary school teachers in Bursa, and factors associated with this subject.Materials and Methods: In our study 1812 teachers from 64 randomly selected primary schools in Bursa were included.Results: It was known by the vast majority of participants that asthma symptoms, asthma is not a contagious disease and may be familial, medications taken by inhalation. It was known by 64.1% of the teachers that asthmatic children do not mind doing sports. Approximately one of the two teachers knew that the medication were not addictive.Conclusion: The knowledge level of the teachers was related to female gender and age. We think that an asthma education program is needed for Turkish teachers to increase their understanding about what asthma is, its impact and how to meet the needs of a child with asthma to achieve improved wellbeing and school attendance.Publication Comorbid conditions and social determinants of smoking in an adult population(Turkish Green Crescent Soc, 2019-12-01) Güçlü, Özge Aydın; Öztürk, Nilufer Aylin Acet; GÖREK DİLEKTAŞLI, ASLI; ACET ÖZTÜRK, NİLÜFER AYLİN; DEMİRDÖĞEN, EZGİ; Demirdöğen, Ezgi; Uzaslan, Esra; UZASLAN, AYŞE ESRA; Karadağ, Mehmet; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; 0000-0003-1005-3205; 0000-0002-6375-1472; 0000-0001-7099-9647; 0000-0002-7400-9089; 0000-0002-9027-1132; Z-1424-2019; AAG-8744-2021; JPK-7012-2023; AAH-9812-2021Tobacco smoking is a significant risk factor for a variety of chronic disorders, such as chronic obstructive pulmonary disease (COPD), lung cancer, cardiovascular diseases, and other forms of malignancies. In this study, we investigated the comorbid medical conditions and sociodemographic features that contribute to disparities in tobacco smoking prevalence in the adult population. We induded volunteers who participated in events for the "World COPD day" in 4 consecutive years (i.e., 2014, 2015, 2016, and 2017) held in Bursa, Turkey. Sociodemographic features, smoking characteristics, and comorbidities were recorded. A total of 747 volunteers who were 47.1 +/- 14.5 [16-84] years of age and smoked 24.1 +/- 20.91 pack-years were included. The study population consisted of 405 (54.2%) males, 36.3% of which were current smokers, 23.6% exsmokers, and 40.2% nonsmokers. Moreover, 15.7% of participants with asthma were nonsmokers and 9.4% ever-smoker (p=0.011), while 2% of participants with coronary artery disease (CAD) were nonsmoker and 6.7% were ever-smoker (p=0.003). Current smoker participants exhibited more symptoms such as cough. sputum, and wheezing (p<0.001, in both cases). In this study, we found that the factors associated with smoking in the general population are male gender and higher educational level.Publication Response to "Hypercapnic respiratory failure with insufficient response to fixed- level PS-NIV: Is AVAPS the end solution?"(Turkish Assoc Tuberculosis & Thorax, 2023-01-01) Öztürk, Nilüfer Aylin Acet; Güçlü, Özge Aydın; Demirdoğen, Ezgi; Dilektaşlı, Aslı Görek; Maharramov, Shahriyar; Coşkun, Funda; Uzaslan, Esra; Ursavaş, Ahmet; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; AYDIN GÜÇLÜ, ÖZGE; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; Maharramov, Shahriyar; COŞKUN, NECMİYE FUNDA; URSAVAŞ, AHMET; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-3604-8826; 0000-0002-9027-1132; Z-1424-2019; AAG-9930-2019; AAH-9812-2021; DTT-7416-2022; DDT-7334-2022; AAD-1271-2019; CDI-1977-2022; AAG-8744-2021Publication Development and validation of a simple risk scoring system for a COVİD-19 diagnostic prediction model(Tüberküloz ve Toraks, 2023-01-01) Güçlü, Özge Aydın; Ursavaş, Ahmet; Ocakoğlu, Gokhan; Demirdogen, Ezgi; Öztürk, Nilufer Aylin Acet; Topçu, Dilara Ömer; Terzi, Orkun Eray; Onal, Uğur; Dilektaşlı, Aslı Görek; Sağlık, İmran; Coşkun, Funda; Ediger, Dane; Uzaslan, Esra; AkalIn, Halis; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; OCAKOĞLU, GÖKHAN; DEMİRDÖĞEN, EZGİ; ACET ÖZTÜRK, NİLÜFER AYLİN; ÖMER TOPÇU, DİLARA; TERZİ, ORKUN ERAY; ÖNAL, UĞUR; GÖREK DİLEKTAŞLI, ASLI; SAĞLIK, İMRAN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; UZASLAN, AYŞE ESRA; AkalIn, Halis; KARADAĞ, MEHMET; Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı; Uludağ Üniversitesi/Tıp Fakültesi/Enfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Anabilim Dalı; 0000-0003-1005-3205; 0000-0002-1114-6051; 0000-0002-7400-9089; 0000-0002-6375-1472; 0000-0001-7099-9647; 0000-0002-2954-4293; 0000-0001-7530-1279; 0000-0002-9027-1132; AAH-5180-2021; A-4970-2019; AAG-8744-2021; AAI-3169-2021; JCO-3678-2023; JPK-7012-2023Introduction: In a resource-constrained situation, a clinical risk stratification system can assist in identifying individuals who are at higher risk and should be tested for COVID-19. This study aims to find a predictive scoring model to estimate the COVID-19 diagnosis.Materials and Methods: Patients who applied to the emergency pandemic clinic between April 2020 and March 2021 were enrolled in this retrospective study. At admission, demographic characteristics, symptoms, comorbid diseases, chest computed tomography (CT), and laboratory findings were all recorded. Development and validation datasets were created. The scoring system was performed using the coefficients of the odds ratios obtained from the multivariable logistic regression analysis.Results: Among 1187 patients admitted to the hospital, the median age was 58 years old (22-96), and 52.7% were male. In a multivariable analysis, typical radiological findings (OR= 8.47, CI= 5.48-13.10, p< 0.001) and dyspnea (OR= 2.85, CI= 1.71-4.74, p< 0.001) were found to be the two important risk factors for COVID-19 diagnosis, followed by myalgia (OR= 1.80, CI= 1.082.99, p= 0.023), cough (OR= 1.65, CI= 1.16-2.26, p= 0.006) and fatigue symptoms (OR= 1.57, CI= 1.06-2.30, p= 0.023). In our scoring system, dyspnea was scored as 2 points, cough as 1 point, fatigue as 1 point, myalgia as 1 point, and typical radiological findings were scored as 5 points. This scoring system had a sensitivity of 71% and a specificity of 76.3% for a cut-off value of >2, with a total score of 10 (p< 0.001).Conclusion: The predictive scoring system could accurately predict the diagnosis of COVID-19 infection, which gave clinicians a theoretical basis for devising immediate treatment options. An evaluation of the predictivePublication The relationship between serum periostin levels, 6-minute walking test and quality of life in patients with idiopathic pulmonary fibrosis(Carbone Editore, 2019-01-01) Eken, Özge Aslantekin; ASLANTEKİN EKEN, ÖZGE; Coşkun, Funda; COŞKUN, NECMİYE FUNDA; Demirdöğen, Ezgi; DEMİRDÖĞEN, EZGİ; Dilektaşlı, Aslı Görek; GÖREK DİLEKTAŞLI, ASLI; Ursavaş, Ahmet; URSAVAŞ, AHMET; Budak, Ferah; BUDAK, FERAH; Karadağ, Mehmet; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/İmmunoloji Anabilim Dalı.; 0000-0003-3604-8826; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0001-7625-9148; 0000-0002-9027-1132; AAG-8744-2021; AAI-3169-2021; JPK-7012-2023; AAD-1271-2019; IZP-9398-2023; F-4657-2014; AAH-9812-2021Introduction: Interstitial lung disease (ILD) is a group of chronic respiratory diseases characterized by inflammation and fi-brosis in different patterns at the interstitium, which is the most common form of idiopathic pulmonary fibrosis (IPF). Considering the prevalence, incidence, and outcomes of IPF, it is important to ensure the availability and validity of biomarkers that can be used in determining the diagnosis and prognosis. In this study, we aimed to assess the relationship between serum periostin levels, pulmonary function tests, 6-minute walking test (6MWT) and quality of life in IPF patients.Material and methods: Our study was carried out with 40 IPF patients who were followed at Uludag University, Faculty of Medicine, Department of Pulmonary Medicine. Spirometer and carbon monoxide diffusion test (DLCO) for respiratory functions, 6MWT and periostin level measurement were performed on the patients, and results were recorded.Results: A total of 31 of patients were males and nine were females. The diagnosis of IPF was made according to the guidelines of ATS / ERS / JRS / ALAT with 25 (62.5%) patients by radiologically and 15 (37.5%) patients with histopathological and radiological features. The mean periostin level was 32.9 +/- 37.57 ng/ml. No significant correlation was found between St. George's Respiratory Questionnaire (SGRQ) score, FVC% predicted, DLCO adj% predicted values, 6MWT distance and periostin level which were measured simultaneously. A negative correlation was found between SGRQ score and DLCO adj% predicted value, 6MWT distance.Conclusion: It has been shown that there is no correlation between periostin levels and the results of the pulmonary function tests, when measured and performed at the same time. No studies are evaluating the relationship between 6MWT and SGRQ scores and periostin levels. In our study, serum periostin level, pulmonary function test results, 6MWT and SGRQ scores were not significantly correlated.Publication AVAPS-NIV treatment in hypercapnic respiratory failure with insufficient response to fixed-level PS-NIV(Türk Tüberküloz ve Toraks, 2022-01-01) Öztürk, Nilüfer Aylın Acet; Güçlü, Özge Aydın; Demirdöğen, Ezgi; Dilektaşlı, Asli Görek; Maharramov, Shahriyar; Coşkun, Funda; Uzaslan, Esra; Ursavaş, Ahmet; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; AYDIN GÜÇLÜ, ÖZGE; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; Maharramov, Shahriyar; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; URSAVAŞ, AHMET; KARADAĞ, MEHMET; Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; AAD-1271-2019; AAG-8744-2021; JPK-7012-2023; DTT-7416-2022; DDT-7334-2022Introduction: Noninvasive ventilation (NIV) for acute hypercapnic respiratory failure (AHRF) is an established treatment modality. Current evidence does not conclude any superiority between fixed pressure support (PS) and aver-age volume-assured pressure support (AVAPS) modes. However, given the ability of rapid PaCO2 decline in AVAPS mode, we hypothesized that COPD patients with AHRF who did not show the desired reduction in PaCO2 with fixed-level PS-NIV might benefit from the AVAPS mode.Materials and Methods: Patients admitted to the non-ICU pulmonary ward with acute exacerbation of COPD (AECOPD) and AHRF were included con-secutively in this observational study. Patients with hypercapnic respiratory failure due to obesity-hypoventilation, neurological diseases, or chest wall deformities were excluded. All patients started NIV treatment with fixed pres-sure support (PS) and patients who did not reach clinical and laboratory stability under PS-NIV treatment were switched to the average volume -as-sured pressure support (AVAPS) mode of NIV.Results: Thirty-five COPD patients with hypercapnic respiratory failure were included. Under PS-NIV treatment, 14 (40%) patients showed a 17.9 (-0.0-29.2) percent change in terms of PaCO2 , meaning no improvement or worsening. Therefore, these patients were treated with AVAPS mode. Arterial PaCO2 and pH levels significantly improved after AVAPS-NIV administration. AVAPS-NIV treatment created a significantly better PaCO2 change rate than using PS-NIV (-11.4 (-22.0 --0.5)vs 8.2 (-5.3-19.5), p= 0.02]. Independent predictors of AVAPS mode requirement were higher Charlson Comorbidity Index (OR= 1.74 (95% CI= 1.02-2.97)] and higher PaCO2 upon admission (OR= 1.18 (95% CI= 1.03-1.35)]. Thirteen (92.8%) patients reaching signif-icant clinical stability with AVAPS-NIV were able to return to fixed-level PS-NIV and maintain acceptable PaCO2 levels.Conclusion: Our study demonstrated that patients can benefit from AVAPS-NIV despite insufficient response to fixed-level PS-NIV.Publication Frailty: An indicator for poor outcomes among in-hospital pulmonology patients(European Respiratory Soc Journals, 2021-09-05) Öztürk, Nilüfer Aylin Acet; Dilektaşlı, Aslı Görek; Güçlü, Özge Aydın; Ursavaş, Ahmet; Demirdoğen, Ezgi; Coşkun, Funda; Uzaslan, Esra; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; GÖREK DİLEKTAŞLI, ASLI; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; JPK-7012-2023; AAG-8744-2021; AAD-1271-2019; Z-1424-2019; CNP-1063-2022; AAG-9930-2019; CDI-1977-2022Publication Prognostic factors for COVID-19 patients(J Infection Developing Countries, 2022-03-01) Önal, Uğur; Güçlü, Özge Aydın; Akalın, Halis; Öztürk, Nilüfer Aylin Acet; Semet, Cihan; Demirdoğen, Ezgi; Dilektaşlı, Aslı Görek; Sağlık, İmran; Kazak, Esra; Özkaya, Güven; Coşkun, Funda; Ediger, Dane; Heper, Yasemin; Ursavaş, Ahmet; Yılmaz, Emel; Uzaslan, Esra; Karadağ, Mehmet; ÖNAL, UĞUR; AYDIN GÜÇLÜ, ÖZGE; AKALIN, EMİN HALİS; ACET ÖZTÜRK, NİLÜFER AYLİN; SEMET, CİHAN; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; SAĞLIK, İMRAN; KAZAK, ESRA; ÖZKAYA, GÜVEN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; HEPER, YASEMİN; URSAVAŞ, AHMET; YILMAZ, EMEL; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Enfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Mikrobiyoloji Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı.; 0000-0001-6194-3254; 0000-0003-1005-3205; 0000-0001-7530-1279; 0000-0002-6375-1472; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-0864-4989; 0000-0003-0297-846X; 0000-0003-3604-8826; 0000-0002-2954-4293; 0000-0002-3894-1231; 0000-0002-9027-1132; A-4421-2016; AAG-8459-2021; GCM-3391-2022; DTT-7416-2022; AAH-9812-2021; AEA-4817-2022; Z-1424-2019; AAU-8952-2020; AAG-9930-2019; ACQ-7832-2022; AAD-1271-2019; AAE-9142-2019; CTY-9474-2022; AAI-3169-2021; HJZ-6992-2023; CDI-1977-2022; AAG-8744-2021Introduction: Determining prognostic factors in patients with coronavirus disease (COVID-19) can have great impact on treatment planning and follow-up strategies. Herein, we aimed to evaluate prognostic factors and clinical scores for confirmed COVID-19 patients in a tertiary care hospital in the Bursa region of Turkey. Methodology: Patients who had been diagnosed with COVID-19 microbiologically and/or radiologically between March and October 2020 in a tertiary-care university hospital were enrolled retrospectively. Adult patients (>= 18 years) with a clinical spectrum of moderate, severe, or critical illness were included. The dependent variable was 30-day mortality and logistic regression analysis was used to evaluate any variables with a significant p value (< 0.05) in univariate analysis. Results: A total of 257 patients were included in the study. The mortality rate (30-day) was 14.4%. In logistic regression analysis, higher scores on sequential organ failure assessment (SOFA) (p < 0.001, odds ratio (OR) = 1.86, 95% CI = 1.42-2.45) and CURB-65 pneumonia severity criteria (p = 0.001, OR = 2.60, 95% CI = 1.47-4.57) were found to be significant in predicting mortality at admission. In deceased patients, there were also significant differences between the baseline, day-3, day-7, and day-14 results of D-dimer (p = 0.01), ferritin (p = 0.042), leukocyte (p = 0.019), and neutrophil (p = 0.007) counts. Conclusions: In our study of COVID-19 patients, we found that high SOFA and CURB-65 scores on admission were associated with increased mortality. In addition, D-dimer, ferritin, leukocyte and neutrophil counts significantly increased after admission in patients who died.Publication Pilot study for immunoglobulin E as a prognostic biomarker in coronavirus disease 2019(Wiley, 2022-08-19) Güçlü, Özge Aydın; Göktaş, Seda S.; Dilektaşlı, Aslı Görek; Öztürk, Nilüfer A. Acet; Demirdoğen, Ezgi; Coşkun, Funda; Ediger, Dane; Ursavaş, Ahmet; Uzaslan, Esra; Erol, Haşim A.; Karacay, Nurdan D.; Sel, Umut Kaya; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; GÖREK DİLEKTAŞLI, ASLI; ACET ÖZTÜRK, NİLÜFER AYLİN; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; URSAVAŞ, AHMET; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı/İmmünoloji ve Alerji Hastalıkları Bilim Dalı.; 0000-0003-3604-8826 ; 0000-0002-9027-1132 ; 0000-0002-7400-9089 ; 0000-0002-6375-1472 ; 0000-0003-1005-3205 ; AAG-9930-2019; DTT-7416-2022; Z-1424-2019; AAH-9812-2021; AAD-1271-2019; AAE-9142-2019; AAI-3169-2021; CDI-1977-2022; AAG-8744-2021Background Laboratory biomarkers to estimate the severity of coronavirus disease 2019 (COVID-19) are crucial during the pandemic since resource allocation must be carefully planned. Aims To evaluate the effects of basal serum total immunoglobulin E (IgE) levels and changes in inflammatory parameters on the clinical progression of patients hospitalised with COVID-19. Methods Patients hospitalised with confirmed COVID-19 were included in the study. Laboratory data and total IgE levels were measured on admission. Lymphocyte, eosinophil, ferritin, d-dimer and C-reactive protein parameters were recorded at baseline and on the 3rd and 14th days of hospitalisation. Results The study enrolled 202 patients, of which 102 (50.5%) were males. The average age was 50.17 +/- 19.68 years. Of the COVID-19 patients, 41 (20.3%) showed clinical progression. Serum total IgE concentrations were markedly higher (172.90 (0-2124) vs 38.70 (0-912); P < 0.001) and serum eosinophil levels were significantly lower (0.015 (0-1.200) vs 0.040 (0-1.360); P = 0.002) in clinically worsened COVID-19 patients when compared with stable patients. The optimal cut-off for predicting clinical worsening was 105.2 ng/L, with 61% sensitivity, 82% specificity, 46.3% positive predictive value and 89.2% negative predictive value (area under the curve = 0.729). Multivariable analysis to define risk factors for disease progression identified higher total IgE and C-reactive protein levels as independent predictors. Conclusions Our single-centre pilot study determined that total IgE levels may be a negative prognostic factor for clinical progression in patients hospitalised due to COVID-19 infection. Future studies are required to determine the impact of individuals' underlying immune predispositions on outcomes of COVID-19 infections.Publication Il-21: A potential biomarker for diagnosis and predicting prognosis in covid-19 patients(European Respiratory Society Journals, 2021-09-05) Öztürk, Nilüfer Aylin Acet; Ursavaş, Ahmet; Dilektaşlı, Aslı Görek; Demirdöğen, Ezgi; Coşkun, Funda; Ediger, Dane; Uzaslan, Esra; Yöyen-Ermiş, Diğdem; Karaca, Mert; Terzi, Orkun; Bayram, Merve; Ömer, Dilara; Yiğitliler, Büşra; Yurttaş, Ahmet; Maharramov, Shahriyar; Çelik, Gamze; Oral, Barbaros; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; URSAVAŞ, AHMET; GÖREK DİLEKTAŞLI, ASLI; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; UZASLAN, AYŞE ESRA; YÖYEN ERMİŞ, DİĞDEM; KARACA, MERT; TERZİ, ORKUN ERAY; BAYRAM, MERVE; ÖMER TOPÇU, DİLARA; YURTTAŞ, AHMET; ORAL, HALUK BARBAROS; KARADAĞ, MEHMET; MAHARRAMOV, SHAHRİYAR; YAZICI, GAMZE; Bursa Uludağ Üniversitesi/Tıp Fakültesi.; 0000-0002-6375-1472; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0002-2954-4293; 0000-0001-5871-8769; 0000-0002-9027-1132; AAG-8744-2021; JPK-7012-2023; AAH-3888-2021; AAE-9142-2019; AAI-3169-2021; AAD-1271-2019
- «
- 1 (current)
- 2
- 3
- »