Glycemic control to improve post-operative outcomes in patients with type 2 diabetes mellitus: Results of the SUGAR (Surgical Universal euGlycemic Attainment during Recovery) initiative.

Objective: Hyperglycemia, or glucose values >180 mg/dL, is associated with adverse post-operative outcomes. Our objective was to determine the impact of improving peri-operative glycemic control and evaluate infectious complications among patients with type 2 diabetes mellitus undergoing open gynecologic surgery.

Methods: A multidisciplinary team standardized pre-operative screening, referral algorithms, and intra-operative and post-operative hyperglycemia management (Surgical Universal euGlycemic Attainment during Recovery initiative).

Same-day discharge after minimally invasive hysterectomy for endometrial cancer and endometrial intraepithelial neoplasia in patients with morbid obesity: Safety and potential barriers.

Objective: The goal of this study was to evaluate safety after same-day discharge following minimally invasive hysterectomy for endometrial cancer and endometrial intraepithelial neoplasia in patients with and without morbid obesity (body mass index 40 kg/m). Our secondary objective was to identify barriers to same-day discharge.

Methods: Retrospective cohort study of patients undergoing minimally invasive hysterectomy for endometrial cancer and endometrial intraepithelial neoplasia from January 2016 to May 2022.

Risk factors for the involvement of sentinel lymph nodes in endometrial cancer (TRSGO-SLN-010).

Objective: This research was undertaken to identify risk factors for the involvement of sentinel lymph nodes (SLNs) in cases of endometrial cancer.

Methods: From February 2016 to April 2021, the cases of 874 women with endometrial cancer treated with the SLN algorithm at 11 institutions were analyzed in this retrospective study. Clinical and pathologic data were reviewed, and logistic regression was applied to identify predictive factors for SLN involvement.

Role of pre-sacral sentinel lymph nodes in endometrium and cervical cancer: experience with minimally invasive indocyanine green sentinel lymph node mapping.

Objective: The aim of this study was to examine the role of pre-sacral sentinel lymph nodes (SLNs) in patients with uterine cancer.

Methods: This retrospective cohort study includes patients with endometrial or cervical cancer who underwent minimally invasive indocyanine green SLN mapping at the Bern University Hospital from December 2012 to December 2022. A complete ultra-staging of the SLNs was performed in all cases.

Prognostic significance and accuracy of oncologists' estimates of survival time in recurrent ovarian cancer.

Objective: We evaluated the accuracy of oncologists' estimates of expected survival time in recurrent ovarian cancer.

Methods: Oncologists estimated expected survival time at baseline for each patient, who were then followed up for survival time. We hypothesized that oncologists' estimates of expected survival time would be independently significant predictors of survival, unbiased (approximately equal proportions [50%] living longer versus shorter than their expected survival time), or imprecise (<30% within 0.

Role of pre-diagnostic reproductive factors on long-term (10 years or greater) survival of epithelial ovarian cancer: The Extreme study.

Objective: Several reproductive factors are associated with ovarian cancer risk but the association with survival is less clear. The main aim was to examine the impact of pre-diagnostic reproductive factors on long-term ovarian cancer survival (≥10 years).

Methods: We included all women with epithelial ovarian cancer in Denmark, 1990-2014.

The prognostic impact of molecular classification in endometrial cancer that undergoes fertility-sparing treatment.

Objective: No biomarkers are available to predict treatment response in patients with endometrial cancers who undergo fertility-sparing treatment. Therefore, we aimed to evaluate the prognostic role of molecular classification.

Methods: Patients with endometrial cancer who underwent fertility-sparing treatment with progestins between 2005 and 2021 were retrospectively identified.

Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.

Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.

Methods: Two experts consensually reviewed the MRIs and assessed myometrial invasion and cervical stromal invasion as per the International Federation of Gynecology and Obstetrics staging classification, to compare the diagnostic performance of the model with the radiologic consensus.

Performance of molecular classification in predicting oncologic outcomes of fertility-sparing treatment for atypical endometrial hyperplasia and endometrial cancer.

Objective: Endometrial cancers can be classified into 4 molecular sub-groups: (1) POLE mutated (POLEmut), (2) mismatch repair deficiency/microsatellite-instable (MMRd/MSI-H), (3) TP53-mutant or p53 abnormal (p53abn), and (4) no specific mutational profile (NSMP). Although molecular classification is increasingly applied in oncology, its role in guiding fertility-sparing treatments for endometrial cancer remains unclear. This study examines the prognostic role of molecular classification in fertility-sparing treatment and its potential to guide treatment decisions.

Trends in the incidence and mutational landscape of advanced uterine cancer.

Objective: The aim of this study was to examine disparities in 20-year incidence trends and mutations in advanced-stage uterine cancer in the United States, given poor survival rates.

Methods: Data were obtained from the United States Cancer Statistics for patients from 2001 to 2019 with International Federation of Gynecology and Obstetrics 2009 stage IVA and IVB uterine cancer. SEER∗Stat 8.

Feasibility and safety of hyperthermic intra-peritoneal chemotherapy in patients with ovarian cancer and chronic kidney disease.

Objective: This study aimed to compare perioperative outcomes and progression-free and overall survival in patients with chronic kidney disease (CKD) versus those without after hyperthermic intra-peritoneal chemotherapy (HIPEC) for ovarian cancer.

Methods: This is a retrospective, single-institution cohort study of patients with ovarian cancer treated with HIPEC at the Cleveland Clinic from January 2009 to December 2022. All patients received HIPEC with cisplatin and renal protection with mannitol and furosemide.

Vulvar inspection at the time of cervical cancer screening: European Society of Gynaecological Oncology (ESGO), International Society for the Study of Vulvovaginal Disease (ISSVD), European College for the Study of Vulval Disease (ECSVD), and European Federation for Colposcopy (EFC) consensus statements.

Background: Vulvar squamous cell carcinoma incidence is increasing, especially among women under 60, largely attributed to human papillomavirus infections. Precursor pre-invasive vulvar lesions are frequently underdiagnosed. Routine vulvar inspection during cervical cancer screening could offer an opportunity for the detection of these lesions.

Basket study of oral progesterone antagonist onapristone extended-release in combination with anastrozole in progesterone receptor-positive recurrent adult-type granulosa cell tumor of the ovary.

Objective: We sought to determine the safety and efficacy of the oral progesterone antagonist onapristone in combination with anastrozole in patients with recurrent progesterone receptor-positive adult-type granulosa cell tumor of the ovary.

Methods: This was a single-institution phase II study of patients with progesterone receptor-positive adult-type granulosa cell tumor who received at least 1 prior line of chemotherapy. Patients were enrolled from November 2021 to August 2022 and tissue was evaluated for progesterone receptor status via immunohistochemistry.

Clinicopathologic stratification demonstrates survival differences between endometrial carcinomas with mismatch repair deficiency and no specific molecular profile: a cohort study.

Objective: Endometrial carcinomas with mismatch repair deficiency (MMRd) and no specific molecular profile (NSMP) are considered to have intermediate prognoses. However, potential prognostic differences between these molecular subgroups remain unclear due to the lack of standardized control for clinicopathologic factors. This study aims to evaluate outcomes of MMRd and NSMP endometrial carcinomas across guideline-based clinicopathologic risk groups.

Liquid biopsy for diagnosing epithelial ovarian cancer: quantification of cell-free DNA and p53 mutational analysis.

Objective: To isolate and quantify cell-free DNA, analysis for p53 mutations, and correlation with tumor burden in women with epithelial ovarian cancer compared with benign and borderline epithelial ovarian tumors.

Methods: In this case-control study, plasma samples of eligible women collected 1 hour before surgery and based on final histopathology, women with epithelial ovarian cancer recruited as cases and borderline, and benign ovarian tumors as controls. Cell-free DNA extracted from plasma serum and quantified using Nanodrop Spectrophotometer.

Cervical cancer stage distribution and survival outcomes in Africa: a systematic review and meta-analysis.

Objective: Cervical cancer is a leading cause of cancer-related deaths among women, with a disproportionate burden in sub-Saharan Africa. Understanding the cervical cancer stage and outcomes is crucial for developing effective interventions and reducing its burden. We aimed to undertake a systematic review and meta-analysis of cervical cancer stage distribution and survival outcomes in Africa.

Utilizing explainable machine learning for progression-free survival prediction in high-grade serous ovarian cancer: insights from a prospective cohort study.

Background: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-free survival (PFS) in HGSOC patients have limitations. This study aims to develop an explainable machine learning (ML) model for predicting PFS in HGSOC patients.