Comparison of Maylard and Cherney incisions' outcomes in hysterectomy surgery for benign indications: a double-blind randomized controlled trial.

Objectives: Choosing the incision for surgery depends on a variety of factors, including the surgeon's preference, patient preference, surgical indications, the patient's systemic issues, previous surgical scars, and other considerations. This trial aimed to evaluate and compare the surgical outcomes of two techniques-Maylard and Cherney incisions-in benign hysterectomy procedures for women.

Materials And Methods: A randomized controlled trial was conducted in Al-Zahra Women's Tertiary Referral University Hospital.

Management of Patients With Refractory Reflux-Like Symptoms Despite Proton Pump Inhibitor Therapy: Evidence-Based Consensus Statements.

Background: Many patients diagnosed with gastro-oesophageal reflux disease (GERD) have persistent symptoms despite proton pump inhibitor (PPI) therapy.

Aims: The aim of this consensus is to provide evidence-based statements to guide clinicians caring for patients with refractory reflux-like symptoms (rRLS) or refractory GERD.

Methods: This consensus was developed by the International Working Group for the Classification of Oesophagitis.

Immune checkpoints and ncRNAs: pioneering immunotherapy approaches for hematological malignancies.

Hematological malignancies are typically treated with chemotherapy and radiotherapy as the first-line conventional therapies. However, non-coding RNAs (ncRNAs) are a rapidly expanding field of study in cancer biology that influences the growth, differentiation, and proliferation of tumors by targeting immunological checkpoints. This study reviews the results of studies (from 2012 to 2024) that consider the immune checkpoints and ncRNAs in relation to hematological malignancies receiving immunotherapy.

Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Background: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), relapse, and graft-versus-host disease (GVHD).

Objective: This study aims to evaluate the capability of machine learning (ML) models in predicting OS, relapse, and GVHD in AL patients post-allo-HSCT.