Researcher:
Benlioğlu, Can

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Can

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Benlioğlu

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Benlioğlu, Can

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2021 - 20232

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    Breast cancer treatment and ovarian function
    (Elsevier Ltd, 2023) Yıldız, Şule; Dilege, Ece; Benlioğlu, Can; Öktem, Özgür; Faculty Member; Faculty Member; PhD Student; Faculty Member; School of Medicine; School of Medicine; Graduate School of Health Sciences; School of Medicine; 134205; 218050; 35690; 102627
    The aim of this study was to provide an update on ovarian function and the mechanisms of gonadal damage after exposure to chemotherapy in breast cancer survivors. The alkylating agents are toxic to both primordial and growing follicles. However, anti-metabolite drugs are more likely to destroy preantral and antral follicles. Younger patients are more likely to have a higher ovarian reserve, and therefore, more likely to retain some residual ovarian function after exposure to gonadotoxic regimens. However, there can be significant variability in ovarian reserve among patients of the same age. Furthermore, patients with critically diminished ovarian reserve may continue to menstruate regularly. Therefore age and menstrual status are not reliable indicators of good ovarian reserve and might give a false sense of security and result in an adverse outcome if the patient is consulted without considering more reliable quantitative markers of ovarian reserve (antral follicle count and anti-Müllerian hormone) and fertility preservation is not pursued. In contrast to well-documented ovarian toxicity of older chemotherapy regimens, data for newer taxane-containing protocols have only accumulated in the last decade and data are still very limited regarding the impact of targeted therapies on ovarian function.
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    Factors associated with livebirth in couples undergoing their first in vitro fertilization cycle: an internally validated prediction model
    (Galenos Yayınevi, 2021) Gokce, Ali; Sukur, Yavuz Emre; Ozmen, Batuhan; Sonmezer, Murat; Atabekoglu, Cem Somer; Aytac, Rusen; Berker, Bulent; Kalafat, Erkan; Benlioğlu, Can; Faculty Member; PhD Student; School of Medicine; Graduate School of Health Sciences; 197389; 35690
    Objective: The aim of the study is to create a new model to predict successful outcome in assisted reproductive techniques. Materials and Methods: A retrospective cohort study was conducted in tertiary fertility center between 2010 and 2017. Nulliparous women younger than 45 years-old undergoing in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) for the first time were included; frozen embryo transfers, canceled induction cycles, freeze-all cycles were excluded. Two prediction models were built using multivariate logistic regression with a subset of the dataset and then were internally validated using bootstrapping methods. Results: Four hundred eighty eight women were included with 136 (27.9%) live births. The basal model was built using variable age, antral follicle count (AFC), and basal luteinizing hormone (LH) levels. Age over 37 years [odds ratio (OR): 0.07, 95% confidence interval (CI): 0.00-0.36] and AFC below 5 (OR: 0.15, 95% CI: 0.02-0.53) was associated with poorer outcomes whereas an LH level above 6 mIU/mL (OR: 2.24, 95% CI: 1.27-3.94) was associated with better outcomes. Optimism adjusted area under the curve (AUC) of this model was 0.68 (95% CI: 0.62-0.74). Combined model in addition to basal model variables included the length of induction cycle, the endometrial thickness at the day of transfer, grade and count of the transferred embryo. Cycles lasting more than ten days (OR: 2.23, 95% CI: 1.17-4.42), an endometrial thickness greater than 9 mm (OR: 2.07, 95% CI: 1.00-4.53) were associated with better outcomes. Optimism adjusted AUC of this model was 0.76 (95% CI: 0.70-0.81). Calibration of both models was good according to Hosmer Lemeshow test (p=0.979 and p=0.848, respectively). Conclusion: This internally validated prediction model has good calibration and can be used predicting outcomes in first time IVF/ICSI cycles with modest sensitivity.