Impact of hormone receptor status and tumor subtypes of breast cancer in young BRCA carriers.

Background: Hormone receptor expression is a known positive prognostic and predictive factor in breast cancer; however, limited evidence exists on its prognostic impact on prognosis of young patients harboring a pathogenic variant (PV) in the BRCA1 and/or BRCA2 genes.

Patients And Methods: This international, multicenter, retrospective cohort study included young patients (aged ≤40 years) diagnosed with invasive breast cancer and harboring germline PVs in BRCA genes. We investigated the impact of hormone receptor status on clinical behavior and outcomes of breast cancer.

Progestogens for prevention of luteinising hormone (LH) surge in women undergoing controlled ovarian hyperstimulation as part of an assisted reproductive technology (ART) cycle.

Background: Currently, gonadotrophin releasing hormone (GnRH) analogues are used to prevent premature ovulation in ART cycles. However, their costs remain high, the route of administration is invasive and has some adverse effects. Oral progestogens could be cheaper and effective to prevent a premature LH surge.

Personalized embryo transfer guided by endometrial receptivity analysis: a systematic review with meta-analysis.

Study Question: Does a personalized embryo transfer (pET) guided by tests for endometrial receptivity (TER) increase the effectiveness of ART procedures?

Summary Answer: The use of TER-guided pET is not supported by current published evidence in women without repeated implantation failure (RIF), while in women with RIF more research is needed to assess a potential benefit.

What Is Known Already: Implantation rates are still far from ideal, especially in some patients that have RIF with good-quality embryos. As a potential solution, a wide range of diverse TER use different sets of genes to identify displacements of the window of implantation to adjust the individual length of progesterone exposure in a pET.

Transapical TAVI: Survival, Hemodynamics, Devices and Machine Learning. Lessons Learned After 10-Year Experience.

Aim of this single-center, retrospective study was to assess early and long-term clinical and hemodynamic results of transapical aortic valve implantation (TA-TAVI), and to identify predictors of survival at follow-up. All patients undergoing TA-TAVI for severe aortic valve stenosis at our institution were reviewed. A hybrid approach based on machine-learning techniques was employed to identify survival predictors, using a bagging-decision-tree algorithm and a Random-Forest algorithm, respectively.

A core outcome set for future research in ectopic pregnancy: an international consensus development study.

Objective: To address methodological deficiencies in published randomized controlled trials and systematic reviews, this study has developed a core outcome set to guide future research in ectopic pregnancy (EP).

Design: To identify potential outcomes, we performed a comprehensive literature review and interviews with individuals with lived experience in EP. Potential core outcomes were then entered into a 3-round Delphi survey.