PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/2

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Now showing 1 - 12 of 12

Citation - WoS: 1
Citation - Scopus: 1
Abstinence-Related Motivational Engagement Scale: Validity and Reliability in Turkish People
(Bilimsel Tip Publishing House, 2018) Yavan, Tulay; Gulesen, Asli; Bebis, Hatice
OBJECTIVES: This research aimed to conduct a validity and reliability study of the Turkish version of the abstinence-related motivational engagement (ARME) scale. MATERIALS AND METHODS: This study included 122 people and was administered in a smoking cessation clinic. The sociodemographic-smoking status characteristics questionnaire and the ARME scale were used for data collection. A psycholinguistic language adaptation was performed. In the validity, analyses, content, construct, and criterion-related validities were used. For content validity, expert evaluation was performed. For construct validity, principal component analyses (exploratory factor analyses) were performed. Orthogonal (Varimax) rotation was used to explore multiple factors. The Kaiser-Meyer-Olkin test was used to assess the adequacy of the sample size. For criterion-related validity, we compared the ARME scale points of people who were abstinent and had relapse for smoking at the end of the sixth month. In the reliability analysis, standard deviation (SD) and item analysis, internal consistency, and test-retest methods were used. RESULTS: The four factors explain 58% of the total variance. Items have factor loading between 0.409 and 0.805. When the factor structure of the scale was assessed, the items in each factor group have a factor load of at least 0.40. Due to one-dimensional use of the original scale, it has been decided to maintain this scale in its original form. The ARME scale points of people who quit smoking were statistically higher than the points of people who had relapse at the end of the sixth month. Cronbach's alpha coefficients were between 0.846 and 0.763. Significant and positive correlation was found between the test-retest scale scores. CONCLUSION: The Turkish adaptation of the ARME scale, which was developed for adults who quitted smoking, is an adequately valid and reliable measurement instrument. It is considered that the scale might be used reliably in different cultures as well.
Citation - WoS: 17
Citation - Scopus: 21
Automated Patient-Specific Classification of Premature Ventricular Contractions
(IEEE, 2008) İnce, Türker; Kiranyaz, Serkan; Gabbouj, Moncef
In this paper, we present an automated patient-specific electrocardiogram (ECG) beat classifier designed or accurate defection of premature ventricular contractions (PVCs). In the proposed feature extraction scheme, the principal component analysis (PCA) is applied to the dyadic wavelet transform (DWT) of the ECG signal to extract morphological ECG features, which are then combined with the temporal features to form a resultant efficient feature vector. For the classification scheme, we selected the feed-forward artificial neural networks (ANNs) optimally designed by the multi-dimensional particle swarm optimization (MD-PSO) technique, which evolves the structure and weights of the network specifically for each patient. Training data for the ANN classifier include both global (total of 150 representative beats randomly sampled from each class in selected training files) and local (the first 5 min of a patient's ECG recording) training patterns. Simulation results using 40 files in the MIT/BIH arrhythmia database achieved high average accuracy of 97% for differentiating normal, PVC, and other beats.
Citation - Scopus: 21
Automated Patient-Specific Classification of Premature Ventricular Contractions
(2008) Ince, T.; Kiranyaz, S.; Gabbouj, M.
In this paper, we present an automated patient-specific electrocardiogram (ECG) beat classifier designed for accurate detection of premature ventricular contractions (PVCs). In the proposed feature extraction scheme, the principal component analysis (PCA) is applied to the dyadic wavelet transform (DWT) of the ECG signal to extract morphological ECG features, which are then combined with the temporal features to form a resultant efficient feature vector. For the classification scheme, we selected the feed-forward artificial neural networks (ANNs) optimally designed by the multi-dimensional particle swarm optimization (MD-PSO) technique, which evolves the structure and weights of the network specifically for each patient. Training data for the ANN classifier include both global (total of 150 representative beats randomly sampled from each class in selected training files) and local (the first 5 min of a patient's ECG recording) training patterns. Simulation results using 40 files in the MIT/BIH arrhythmia database achieved high average accuracy of 97% for differentiating normal, PVC, and other beats.
Citation - WoS: 9
Citation - Scopus: 11
Can Popular AI Large Language Models Provide Reliable Answers to Frequently Asked Questions About Rotator Cuff Tears
(Elsevier, 2025) Kolac, Ulas Can; Karademir, Orhan Mete; Ayik, Gokhan; Kaymakoglu, Mehmet; Familiari, Filippo; Huri, Gazi
Background: Rotator cuff tears are common upper-extremity injuries that significantly impair shoulder function, leading to pain, reduced range of motion, and a decrease in quality of life. With the increasing reliance on artificial intelligence large language models (AI LLMs) for health information, it is crucial to evaluate the quality and readability of the information provided by these models. Methods: A pool of 50 questions was generated related to rotator cuff tear by querying popular AI LLMs (ChatGPT 3.5, ChatGPT 4, Gemini, and Microsoft CoPilot) and using Google search. After that, responses from the AI LLMs were saved and evaluated. For information quality the DISCERN tool and a Likert Scale was used, for readability the Patient Education Materials Assessment Tool for Printable Materials (PEMAT) Understandability Score and the Flesch-Kincaid Reading Ease Score was used. Two orthopedic surgeons assessed the responses, and discrepancies were resolved by a senior author. Results: Out of 198 answers, the median DISCERN score was 40, with 56.6% considered sufficient. The Likert Scale showed 96% sufficiency. The median PEMAT Understandability score was 83.33, with 77.3% sufficiency, while the Flesch-Kincaid Reading Ease score had a median of 42.05 with 88.9% sufficiency. Overall, 39.8% of the answers were sufficient in both information quality and readability. Differences were found among AI models in DISCERN, Likert, PEMAT Understandability, and Flesch-Kincaid scores. Conclusion: AI LLMs generally cannot offer sufficient information quality and readability. While they are not ready for use in medical field, they show a promising future. There is a necessity for continuous reevaluation of these models due to their rapid evolution. Developing new, comprehensive tools for evaluating medical information quality and readability is crucial for ensuring these models can effectively support patient education. Future research should focus on enhancing readability and consistent information quality to better serve patients. (c) 2024 The Author(s). Published by Elsevier Inc. on behalf of American Shoulder and Elbow Surgeons. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Citation - Scopus: 1
Classification of Holter Registers by Dynamic Clustering Using Multi-Dimensional Particle Swarm Optimization
(2010) Kiranyaz S.; İnce, Türker; Pulkkinen J.; Gabbouj M.
In this paper, we address dynamic clustering in high dimensional data or feature spaces as an optimization problem where multi-dimensional particle swarm optimization (MD PSO) is used to find out the true number of clusters, while fractional global best formation (FGBF) is applied to avoid local optima. Based on these techniques we then present a novel and personalized long-term ECG classification system, which addresses the problem of labeling the beats within a long-term ECG signal, known as Holter register, recorded from an individual patient. Due to the massive amount of ECG beats in a Holter register, visual inspection is quite difficult and cumbersome, if not impossible. Therefore the proposed system helps professionals to quickly and accurately diagnose any latent heart disease by examining only the representative beats (the so called master key-beats) each of which is representing a cluster of homogeneous (similar) beats. We tested the system on a benchmark database where the beats of each Holter register have been manually labeled by cardiologists. The selection of the right master key-beats is the key factor for achieving a highly accurate classification and the proposed systematic approach produced results that were consistent with the manual labels with 99.5% average accuracy, which basically shows the efficiency of the system. © 2010 IEEE.
Citation - Scopus: 291
Convolutional Neural Networks for Patient-Specific Ecg Classification
(Institute of Electrical and Electronics Engineers Inc., 2015) Kiranyaz S.; İnce, Türker; Hamila R.; Gabbouj, Moncef
We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and classification into a unified learner. In this way, a dedicated CNN will be trained for each patient by using relatively small common and patient-specific training data and thus it can also be used to classify long ECG records such as Holter registers in a fast and accurate manner. Alternatively, such a solution can conveniently be used for real-time ECG monitoring and early alert system on a light-weight wearable device. The experimental results demonstrate that the proposed system achieves a superior classification performance for the detection of ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). © 2015 IEEE.
Durvalumab-Based First-Line Chemoimmunotherapy in Advanced Biliary Tract Cancer: Real-World Outcomes and Prognostic Factors—A Turkish Oncology Group Study
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Efil, S.C.; Kus, F.; Köylü, B.; Durukan, B.M.; Bayram, S.; Guzel, H.G.; Şendur, M.A.N.
Background: Durvalumab combined with gemcitabine–cisplatin (GC) has become the standard first-line treatment for advanced biliary tract cancer (BTC) following the TOPAZ-1 trial. However, real-world effectiveness, safety, and prognostic determinants, particularly in underrepresented populations, remain insufficiently defined. The aim of this study was to evaluate the real-world outcomes of first-line durvalumab plus chemotherapy and identify independent prognostic factors in patients with advanced BTC. Methods: This multicenter retrospective cohort study included patients with unresectable or metastatic BTC treated with first-line durvalumab plus chemotherapy across 21 tertiary oncology centers in Türkiye. Clinical characteristics, laboratory parameters, biomarker data, and treatment details were collected. The primary endpoint was overall survival (OS), while secondary endpoints included progression-free survival (PFS), objective response rate (ORR), and safety. Survival outcomes were analyzed using the Kaplan–Meier method and Cox proportional hazards regression models. Results: A total of 78 patients were analyzed; 53.8% were male, and the median age was 62 years. Primary tumor sites were intrahepatic (55.1%), extrahepatic (30.8%), and gallbladder (14.1%). After a median follow-up of 12.58 months, median OS was 11.59 months and median PFS was 6.80 months. The ORR was 50.6%, including complete and partial responses in 2.7% and 47.9% of patients, respectively. Treatment-related adverse events occurred in 97.4% of patients, with grade 3–4 events in 37.2%. Immune-related adverse events were observed in 19.2%, including one case of grade 3 pneumonitis. No patient permanently discontinued durvalumab due to toxicity, and no durvalumab-related mortality occurred. In multivariable analysis, ECOG performance status 2 (HR 3.43; 95% CI 1.33–8.80) and ALBI grade 2–3 (HR 2.54; 95% CI 1.24–5.19) independently predicted worse OS, while ECOG performance status 2 also predicted shorter PFS (HR 5.91; 95% CI 2.30–15.17). Conclusions: In this multicenter real-world Turkish cohort, first-line durvalumab plus chemotherapy showed effectiveness and tolerability comparable to clinical trial data. Baseline ECOG performance status and ALBI grade were independent prognostic factors, supporting their use for risk stratification in advanced biliary tract cancer. © 2025 by the authors.
Citation - Scopus: 2
The Effects of Thiopental on Cold Ischemic Injury in Renal Transplantation
(NLM (Medline), 2023) Büyük B.; Adali Y.; Karakoç E.; Eroğlu H.A.; Aydeğer C.
INTRODUCTION: One of the most important factors influencing post-transplant success in kidney transplantation is preserving the viability of the organ from removal to transfer into the recipient. AIM: This study aimed to reduce the energy requirement with thiopental doses administered before organ transplantation, and to increase the organ viability by minimizing the tissue damage during the cold ischemia process. MATERIALS AND METHODS: Twenty female Wistar albino rats were divided into two groups: control group (group C), and thiopental group (group T). In group C, a midline incision was performed, and the renal artery was isolated under ketamine and xylazine anesthesia. A standard organ storage solution (cooled to +4°C) was used for kidney perfusion. Nephrectomy was applied, and the removed kidneys were placed into +4°C standard organ storage solution and stored at +4°C for 12 hours. Animals in group T were subjected to the procedures explained above under 85 mg/kg thiopental sodium anesthesia. After 12-hour storage, samples from the kidney tissues were fixed in 10% neutral buffered formalin. Histopathological evaluation and apoptosis detection via TUNEL method were performed. RESULTS: Tubular necrosis was more extensive in group C compared with that in group T and this difference was statistically significant. Similarly, vacuolization was widely observed in group C, and this increase was also statistically significant. For the 'dilatation of Bowman's space' parameter, a significant decrease was observed in group T compared with group C. When the apoptotic index values of both groups were examined, it was seen that they were lower in group T than those in group C. This result was statistically significant. CONCLUSIONS: These data suggest that thiopental provides protection to the kidney tissue during the cold storage process. Thiopental has been shown to decrease the number of apoptotic cells in the kidney tissue when administered to the donor before organ transplantation, increasing the organ viability. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fungal Sinusitis Due To Mucormycosis in a Diabetic Immunosuppressed Patient With Acute Myeloid Leukemia (aml)
(Journal of Infection in Developing Countries, 2024) Ece, G.; Ciger, E.; Acar, C.; Cagirgan, S.; Cetin, O.
Introduction: Mucormycosis is an acute onset, invasive, fungal infection, characterized by organ involvement, and caused by Mucor, Rhizopus, or Absidia. Our aim was to present a case of mucormycotic infection and emphasize its importance in a diabetic immunosuppressed patient with acute myeloid leukemia (AML). Case presentation: A 68-year-old hypertensive and diabetic male patient with a diagnosis of AML developed respiratory failure and exhibited diffuse bilateral consolidation in high-resolution computed tomography (HRCT). The treatment plan involved chemotherapy with cytarabine (200 mg/m2/day for 7 days) and daunorubicin (60 mg/m2/day for 3 days) starting on 20 July 2022. Posaconazole prophylactic treatment was initiated on 23 July 2022, to prevent fungal infections. Five days later there was a black necrotic appearance on the left wing of the nose. The patient underwent excision of the left wing of the nose. Mucor was detected in the excision tissue both histopathologically and in culture. A culture under lactophenol cotton blue (LFCB) staining displaying hyphal structures of Mucor was obtained. The patient died of progressive pneumonia and sepsis. Conclusions: Mucormycosis is an infection with high mortality, and should be considered in the early stages of diagnosis when dealing with immunosuppression patients. Copyright © 2024 Ece et al.
Investigation of the Prevalence of Toxoplasmosis in Patients With Malignancies, Southwest of Iran
(2025) Roya, S.K.; Maryam, E.R.; Ahmad, H.; Tina, V.; Arta, F.K.; Mostafa, E.R.; Marzieh, A.N.
Toxoplasmosis, a parasitic disease, has the capacity to infect humans, other warm-blooded animals, and cats. Individuals with compromised immune systems, including cancer patients receiving chemotherapy, individuals with AIDS, transplant recipients, and hemodialysis patients, are at an increased risk of contracting toxoplasmosis. The challenge in diagnosing toxoplasmosis in such cases stems from the similarity of certain symptoms to those of cancer or chemotherapy-related complications. Consequently, the ELISA test is employed to ascertain the presence of the infection and to determine the quantity of antibodies in the patient. A total of 90 cancer patients who had been admitted to the hospital and were undergoing chemotherapy were included in the study. Blood samples were collected from these patients, who were at various stages of chemotherapy. The anti- toxoplasma antibody titer was subsequently determined using the ELISA method, and the data were analyzed using SPSS version 23 software. In this study, 50 (55.6%) of the subjects were female and 40 (44.4%) were male. All samples were found to be negative for IgM antibody titers, while 50 (55.6%) were positive for IgG antibodies. In patients with positive test results, the most common clinical symptoms were lethargy and anorexia. While anti-toxoplasma IgG antibodies exhibited a higher prevalence among male subjects, no statistically significant discrepancy was observed between gender and infection rates. Furthermore, in comparison with individuals who have not received chemotherapy, those with a history of chemotherapy exhibited elevated levels of anti-toxoplasma IgG antibodies. The level of anti-toxoplasma IgG in malignant patients hospitalized in this hospital was high, but statistical analysis showed a significant difference between the prevalence of toxoplasma and the type of cancer. Individuals diagnosed with cancer face an elevated risk of developing severe toxoplasmosis and its associated consequences, attributable to the high incidence of T. gondii. Consequently, oncologists must recognize this grave medical condition as necessitating prompt attention. This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine
Ranking Circularity Levels in Industrial Parks: A Holistic Approach Incorporating Environmental, Economic and Social Indicators
(Springer, 2025) Berk, I.; Ediger, V.Ş.; Öztürk, E.B.; Uctug, F.G.; Kucuker, M.A.; Inan, A.; Aktuna, G.B.
This study introduces a circularity ranking system at the meso-level, specifically targeting industrial parks, through the development of the Circular Economy Sustainability Index (CESI). The index comprises five economic-environmental indicators: energy intensity, emission intensity, water intensity, waste intensity, and recycling ratio, as well as a social indicator as a sixth dimension. We utilize CESI to evaluate the circular economy performance of 22 manufacturing firms in the Adana Hacı Sabancı Organized Industrial Zone (AOSB). AOSB, one of the most prominent industrial parks in Türkiye, serves as an excellent case study to assess companies’ circularity performance and identify areas for improvement in the country’s green industrial transformation endeavor. Our findings reveal that waste and recycling indicators are pivotal in determining circularity, contributing 34.6% to the overall score, while the social indicator adds another 16.3%. These results underscore the significance of effective waste management and social responsibility in enhancing circularity. © 2025 Elsevier B.V., All rights reserved.
Response To the Letter To the Editor Regarding "Can Popular Artificial Intelligence Large Language Models Provide Reliable Answers To Frequently Asked Questions About Rotator Cuff Tears?" -Reply
(Elsevier, 2025) Kolac, Ulas Can; Karademir, Orhan Mete; Ayik, Gokhan; Kaymakoglu, Mehmet; Familiari, Filippo; Huri, Gazi

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