Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Spleen stiffness predicts clinical event-free survival in primary biliary cholangitis: a prospective cohort study
(Elsevier, 2026) Ergenç, İlkay; Yapıcı, Hasan Basri; Keklikkıran, Çağlayan; Demirtaş, Coşkun Özer; Kani, Haluk; Heneghan, Michael); Yılmaz, Yusuf
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A phase 2b/3 trial of saroglitazar in primary biliary cholangitis (EPICS III)
(Elsevier, 2026) Vuppalanchi, Raj; Villamil, Alejandra; Yılmaz, Yusuf; Idilman, Ramazan; Ameigeiras, Beatriz Margarita; Shaikh, Farheen; Aras, Siddharth
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Model-dependent cardiovascular risk stratification in obese populations: multicenter study in turkiye
(Dove Medical Press, 2026) Oflas, Nur Düzen; Oral, Alihan; Solmaz, İhsan; Topaloğlu, Ulaş Serkan; Demir, İsmail; Konur, Kamil; Uyar, Seyit
Background: Cardiovascular risk prediction models are essential for preventive cardiology; however, most were developed in populations with limited representation of individuals with severe obesity. Given the high prevalence of obesity in T & uuml;rkiye and its strong association with cardiometabolic disorders, uncertainty exists regarding the applicability and agreement of contemporary cardiovascular risk estimation tools in this population. This study aimed to compare cardiovascular risk estimates derived from SCORE2, SCORE2-DM, and AHA PREVENT models across geographical regions in a large obese cohort from T & uuml;rkiye, and to formally evaluate inter-model agreement and confounder-adjusted regional differences. Methods: This multicenter retrospective analysis included 6,378 obese individuals recruited from seven geographical regions of T & uuml;rkiye. Demographic characteristics, comorbidities, anthropometric measurements, and laboratory data were obtained from standardized electronic medical records. Ten-year cardiovascular risk was estimated, rather than prospectively predicted, using SCORE2, SCORE2-DM, and AHA PREVENT equations. Regional comparisons were performed using the Kruskal-Wallis test and chi-square analysis. Inter-model agreement was assessed using Spearman correlation, intraclass correlation coefficients (ICC), Bland-Altman analysis, and linear-weighted Cohen's kappa for guideline-based risk strata. Multivariable linear regression was used to evaluate regional differences after adjustment for age, sex, smoking, diabetes, hypertension, dyslipidemia, statin use, and body mass index. Statistical significance was set at p<0.05. Results: Substantial regional heterogeneity was observed in smoking prevalence, cardiometabolic comorbidities, and medication use. Cardiovascular risk estimates differed according to the selected prediction model: SCORE2 identified the highest median risk in Mediterranean and Southeastern Anatolia, SCORE2-DM demonstrated relatively homogeneous risk estimates across regions, and PREVENT showed greater regional discrimination, identifying the highest risk in the Aegean region and the lowest risk in Eastern and Central Anatolia. SCORE2 and PREVENT showed strong rank-order agreement (Spearman rho=0.95) but only modest categorical agreement (weighted kappa=0.31). SCORE2-DM systematically estimated 10-year risk approximately 6 percentage points higher than PREVENT (mean difference 6.37%, 95% LoA 5.70 to 7.04). Regional differences in risk estimates remained statistically significant after multivariable adjustment for all three models (all p <= 0.009). Conclusion: Cardiovascular risk estimation in obese individuals is highly sensitive to the choice of prediction model and regional population characteristics. Although the three contemporary models rank patients similarly, their absolute risk estimates and categorical risk classifications can diverge substantially, particularly in obese patients with diabetes. Because this analysis is based on model-derived estimates rather than observed cardiovascular outcomes, our findings should be interpreted as descriptive risk estimation rather than validated risk prediction. These findings highlight the importance of cautious interpretation of risk scores and emphasize the need for outcome-based, population-specific validation of cardiovascular risk prediction tools in high-risk obese populations.
Clinical profile, histologic features, non-invasive test accuracy, and long-term outcomes of lean metabolic dysfunction associated steatotic liver disease (MASLD): insights from the global masld project
(Elsevier, 2026) Younossi, Zobair M.; de Avila, Leyla; Petta, Salvatore; Hagstrom, Hannes; Kim, Seung Up; Yılmaz, Yusuf; Stepanova, Maria
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Regional genetic diversity and COI haplotype characterization of human-derived Enterobius vermicularis ısolates
(Springer, 2026) Bedir, Hilal; Çiftçi, Nurullah; Öztürk, Murat; Önk, Ayşegül; Shahbazova, Masma; Bahçeci, İlkay; Arslan, Mükremin Özkan
BackgroundEnterobius vermicularis (pinworm) is a globally distributed intestinal nematode that primarily infects children. Despite its high prevalence, information on the molecular diversity of human-derived E. vermicularis populations remains limited, particularly in geographically diverse regions such as T & uuml;rkiye. This study aimed to characterize genotype and haplotype diversity based on the mitochondrial cytochrome c oxidase subunit 1 (COI) gene in E. vermicularis egg isolates collected from humans in different regions of T & uuml;rkiye.MethodsA total of 71 microscopy-positive samples were analyzed by nested PCR, and 40 COI amplicons (397 bp) yielded high-quality sequences for further evaluation. Sequence analysis revealed 16 distinct haplotypes defined by 20 polymorphic sites. Overall haplotype diversity was high (Hd = 0.871), whereas nucleotide diversity was low (pi = 0.00714).ResultsAmong the regional populations, the highest haplotype diversity was observed in Kars (Hd = 0.895), while the highest nucleotide diversity was detected in Bal & imath;kesir/Edremit (pi = 0.00927). Maximum-likelihood phylogenetic analysis demonstrated that all T & uuml;rkiye haplotypes belonged to Genotype B and formed three subclusters together with previously reported human-derived reference sequences from Europe and the Middle East. Seven haplotypes showed no 100% match in GenBank and were therefore considered novel, whereas the remaining haplotypes were identical to genotype B sequences previously reported from Greece, Bulgaria, Iran, Iraq, and T & uuml;rkiye.ConclusionsTo our knowledge, this study presents the first COI-based haplotype dataset of E. vermicularis egg isolates from multiple regions of T & uuml;rkiye and demonstrates substantial intraspecific genetic diversity despite the predominance of a single mitochondrial genotype. These findings expand current knowledge of the genetic structure of human-derived E. vermicularis in T & uuml;rkiye and provide a basis for future large-scale molecular epidemiological studies. Further studies including larger sample sizes and additional genetic markers are needed.
