Cem Dogan

Dr. Cem Dogan

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2025 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
UAUmmu Nur Akinci
Ummu Nur Akinci
CDCem Dogan
Cem Dogan
ETEGEMEN TURAL
EGEMEN TURAL
ADAkın Dayan
Akın Dayan
Objective: This study aimed to investigate the relationship between body fat percentage, anthropometric measurements, and the microvascular and macrovascular complications of diabetes in female patients with type 2 diabetes mellitus. Methods: This was a single-center, cross-sectional study. A total of 146 female patients who met the inclusion criteria and were admitted to the diabetes clinic of a training and research hospital were enrolled after obtaining informed consent. Anthropometric measurements including height, weight, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and skinfold thickness were recorded. Body fat percentage was assessed using a bioelectrical impedance analyzer. The presence of retinopathy, nephropathy, neuropathy, and macrovascular complications was documented. A p-value of <0.05 was considered statistically significant. Results: In our study, the median age of the participants was 63.0 years, and the mean duration of diabetes was 17.21 ± 8.37 years. Retinopathy was detected in 30 patients (20.5%), nephropathy in 41 patients (28.1%), neuropathy in 46 patients (31.5%), and macrovascular complications in 48 patients (32.9%). When weight was controlled as a constant variable, patients with retinopathy, nephropathy, and macrovascular complications had a statistically significant increase in waist circumference compared to those without these complications (p < 0.05). Suprailiac skinfold thickness was found to be positively associated with both retinopathy and nephropathy (p < 0.05). Conclusions: In our study, no significant differences were observed in body fat measurements assessed by bioimpedance analysis and skinfold thickness between female patients with and without diabetic complications. Waist circumference measurement, which can be easily performed in primary health care settings, appears to be a much more important indicator of both macrovascular and microvascular complication risk in female patients with diabetes compared to bioimpedance and skinfold thickness methods.

5 May 2026 in BMC Women's Health
Verified
Journal Article
Open access
PDF file
HGHacer Serin Gurel
Hacer Serin Gurel
CDCem Dogan
Cem Dogan
KBKübra Bozali
Kübra Bozali
MEMemet Taskin Egici
Memet Taskin Egici
EGEray Metin Guler
Eray Metin Guler
ADAkın Dayan
Akın Dayan
The aim of this study was to investigate the relationship between oxidative stress parameters [total oxidant status (TOS), total antioxidant status (TAS),

12 January 2026 in SciELO Preprints
Verified
Preprint
Open access
LOLevent Ozsari
Levent Ozsari
CDCem Dogan
Cem Dogan
ADAkın Dayan
Akın Dayan
Objective: The optimal management and follow-up strategies for adrenal incidentalomas (AIs) remain controversial, with conflicting guidelines on routine imaging versus surveillance. This study investigates the prognostic utility of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score, previously validated in malignancies, as a potential predictor of AI growth over a one-year period. Methods: This retrospective study included 66 female patients (aged 18–80 years) with incidentally detected adrenal masses, who underwent at least two imaging scans within a one-year period. The HALP score at diagnosis and the change in adrenal mass diameter between baseline and follow-up imaging were assessed. Growth of adrenal mass was defined as an increase in diameter ≥3 mm. Results: Patients with growing AIs exhibited lower baseline HALP scores compared to those with stable lesions (p = 0.093). A significant negative correlation was observed between HALP score and diameter change in a subgroup of patients with growth ≥3 mm (Spearman’s rho = -0.766, p = 0.010). However, HALP score was not a significant predictor of AI growth according to logistic regression analysis (p > 0.05). Conclusion: Although an inverse association exists between the HALP score and AI growth, it lacks sufficient predictive accuracy to serve as a standalone marker for short-term prognosis. Larger-scale, long-term studies are needed to explore its potential role in AI management.