To assess whether high-dose folic acid supplementation (4-5 mg/day), initiated before conception, reduces the risk of miscarriage and improves pregnancy rates compared to standard-dose supplementation (0.4 mg/day).
Deep infiltrating endometriosis (DIE) is a severe subtype of endometriosis, often associated with dysmenorrhea and significant diagnostic challenges. Conventional biomarkers, such as cancer antigen 125 (CA125), lack sufficient specificity for …
Endometriosis, with a global prevalence of approximately 18%, is a chronic condition that significantly impacts patients' quality of life and increases the risk of depression. Despite growing public health concerns, …
Endometriosis is a prevalent gynecological disorder associated with chronic low-grade inflammation, yet diagnosis is often delayed because symptoms are non-specific and definitive confirmation typically relies on invasive procedures. Composite indices …
Endometriosis affects 11% of women of reproductive age. Diagnosis is often delayed by 6-8 years due to nonspecific symptoms and lack of early detection tools. This study aimed to develop …
Dyslipidaemia is related to endometriosis, but it is not known which lipid component is most relevant, and whether the observed correlation reflects the causal relationship. The relationship between triglycerides (TG) …
Patients with endometriosis have greater risk of infertility, which is associated with compromised ovarian function. Dysfunction in follicular granulosa cells and hyperactivation of oestrogen receptor beta (ERβ) are evident in …
The pathogenesis and progression of endometriosis may involve a complex combination of multiple factors, including chronic inflammation and oxidative stress. Hormonal therapy, the current standard for pharmacotherapy in endometriosis, causes …
The technique of microneurography has advanced our understanding of the sympathetic nervous system's role in the neurovascular control of blood pressure in humans, yet critical knowledge gaps remain, particularly across …
Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection …