Association of Free Radical Product and Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis

Bahreiny, Seyed Sobhan; Ahangarpour, Akram; Saki, Najmaldin; Dabbagh, Mohammad Reza; Ebrahimi, Reza; Mahdizade, Amir Hossein; Ghorbani, Hamid; Aghaei, Mojtaba

doi:10.1007/s43032-023-01447-x

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…Mostly, the basic pathogenetic mechanisms of neuroendocrine syndromes development are connected with hormonal disorders [1][2][3][4][5][6]. Currently, in the last years a great attention is paid for the genetic predisposition [7][8][9][10][11][12], gut and vaginal dysbiosis [13][14][15], oxidative stress factors [16,17], etc. in their occurrence.…”

Section: г і н е к о л о г і яmentioning

confidence: 99%

The modern pathogenetic challenges of polycystic ovary syndrome

Pakharenko,

Zhylka,

Shcherbinska

et al. 2024

RHW

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Polycystic ovary syndrome (PCOS) is one of the neuroendocrine syndromes in women of reproductive age. In the pathogenesis of its development a great importance is paid to the hormonal disbalance, metabolic changes, overweight and obesity, diabetes mellitus, insulin resistance, genetic factors, etc. Very often, PCOS is accompanied by infertility, cardiovascular risks, diabetes mellitus.The article is devoted to a review of modern scientific literature about the last researches devoted to the mechanisms of metabolic disorders which are connected with insulin resistance, overweight and obesity, also, with psychological disturbance and stress. The article describes the specific of psychological conditions in PCOS patients. On the basis of the analyzed scientific publications the connection between hormonal disbalance, psychological disorders, overweight, obesity and lipidogram parameters is presented.Also, the researches about gut and vaginal microbiota are described in this paper. The last studies demonstrate the significant changes of human microbiome in the development and course of polycystic ovary syndrome. The article presents the concepts of the difference in the composition of the gut and vagina microbiota in women with this neuroendocrine syndrome.The pathogenetic mechanisms of the role of the microbiota in the processes of PCOS pathogenesis, namely, the regulation of the immune response and inflammation processes in this pathology, are described. It has been shown that in women with PCOS there are differences in the microflora composition of the intestines, manifested by a decreased concentration of Lactobacillus and the presence of a variety of other microorganisms compared to the healthy women.Thus, the main pathogenetic links of PCOS development are closely connected with each other. That is why multimodal approaches for study of PCOS and for management of the patients with PCOS are extremely important.

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Section: г і н е к о л о г і яmentioning

confidence: 99%

The modern pathogenetic challenges of polycystic ovary syndrome

Pakharenko,

Zhylka,

Shcherbinska

et al. 2024

RHW

View full text Add to dashboard Cite

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“…Polycystic ovary syndrome (PCOS) is a multifaceted endocrine pathology affecting no less than 10% of women in their reproductive years, underscoring its status as one of the predominant factors contributing to female infertility [ 1 ]. It is characterized by a spectrum of some symptoms, including but not limited to oligomenorrhea, hyperandrogenism, and polycystic ovaries [ 2 , 3 , 4 ]. Given its multifaceted nature, the management of infertility in women with PCOS requires a comprehensive approach, of which ovulation induction is a cornerstone [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

ChatGPT’s Efficacy in Queries Regarding Polycystic Ovary Syndrome and Treatment Strategies for Women Experiencing Infertility

Devranoglu,

Gurbuz,

Gokmen

2024

Diagnostics

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This study assesses the efficacy of ChatGPT-4, an advanced artificial intelligence (AI) language model, in delivering precise and comprehensive answers to inquiries regarding managing polycystic ovary syndrome (PCOS)-related infertility. The research team, comprising experienced gynecologists, formulated 460 structured queries encompassing a wide range of common and intricate PCOS scenarios. The queries were: true/false (170), open-ended (165), and multiple-choice (125) and further classified as ‘easy’, ‘moderate’, and ‘hard’. For true/false questions, ChatGPT-4 achieved a flawless accuracy rate of 100% initially and upon reassessment after 30 days. In the open-ended category, there was a noteworthy enhancement in accuracy, with scores increasing from 5.53 ± 0.89 initially to 5.88 ± 0.43 at the 30-day mark (p < 0.001). Completeness scores for open-ended queries also experienced a significant improvement, rising from 2.35 ± 0.58 to 2.92 ± 0.29 (p < 0.001). In the multiple-choice category, although the accuracy score exhibited a minor decline from 5.96 ± 0.44 to 5.92 ± 0.63 after 30 days (p > 0.05). Completeness scores for multiple-choice questions remained consistent, with initial and 30-day means of 2.98 ± 0.18 and 2.97 ± 0.25, respectively (p > 0.05). ChatGPT-4 demonstrated exceptional performance in true/false queries and significantly improved handling of open-ended questions during the 30 days. These findings emphasize the potential of AI, particularly ChatGPT-4, in enhancing decision-making support for healthcare professionals managing PCOS-related infertility.

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