Tirzepatide Improved Health-Related Quality of Life Compared with Insulin Lispro in Basal Insulin-Treated Adults with Type 2 Diabetes and Inadequate Glycaemic Control: A Randomised Controlled Phase 3b Trial (SURPASS-6).

Introduction: Patients with type 2 diabetes (T2D) who require intensification of basal insulin therapy need treatment options that can improve their health-related quality of life (HRQoL) and translate into better outcomes. These analyses compared patient-reported outcomes (PROs) in patients with T2D receiving tirzepatide or insulin lispro.

Methods: The randomised, open-label, multinational, phase 3b SURPASS-6 trial (NCT04537923) was conducted at 135 medical research centres and hospitals in 15 countries and compared two recommended treatment intensification strategies in people with T2D and inadequate glycaemic control on basal insulin: addition of once-weekly tirzepatide versus addition of prandial insulin lispro.

Tirzepatide vs Insulin Lispro Added to Basal Insulin in Type 2 Diabetes: The SURPASS-6 Randomized Clinical Trial.

Importance: Tirzepatide is a glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist used for the treatment of type 2 diabetes. Efficacy and safety of adding tirzepatide vs prandial insulin to treatment in patients with inadequate glycemic control with basal insulin have not been described.

Objective: To assess the efficacy and safety of tirzepatide vs insulin lispro as an adjunctive therapy to insulin glargine.

Patient-Reported Outcomes of Breast Reconstruction: Does the Quality of Decisions Matter?

Background: Little is known about how the quality of decisions influences patient-reported outcomes (PROs). We hypothesized that higher decision quality for breast reconstruction would be independently associated with better PROs.

Methods: We conducted a prospective cohort study of patients undergoing mastectomy with or without reconstruction.

THUNDER: A reference-free deconvolution method to infer cell type proportions from bulk Hi-C data.

Hi-C data provide population averaged estimates of three-dimensional chromatin contacts across cell types and states in bulk samples. Effective analysis of Hi-C data entails controlling for the potential confounding factor of differential cell type proportions across heterogeneous bulk samples. We propose a novel unsupervised deconvolution method for inferring cell type composition from bulk Hi-C data, the Two-step Hi-c UNsupervised DEconvolution appRoach (THUNDER).

Effect of Subcutaneous Tirzepatide vs Placebo Added to Titrated Insulin Glargine on Glycemic Control in Patients With Type 2 Diabetes: The SURPASS-5 Randomized Clinical Trial.

Importance: The effects of tirzepatide, a dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist, as an addition to insulin glargine for treatment of type 2 diabetes have not been described.

Objective: To assess the efficacy and safety of tirzepatide added to insulin glargine in patients with type 2 diabetes with inadequate glycemic control.

Design, Setting, And Participants: Randomized phase 3 clinical trial conducted at 45 medical research centers and hospitals in 8 countries (enrollment from August 30, 2019, to March 20, 2020; follow-up completed January 13, 2021) in 475 adults with type 2 diabetes and inadequate glycemic control while treated with once-daily insulin glargine with or without metformin.

SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble.

Clustering is an essential step in the analysis of single cell RNA-seq (scRNA-seq) data to shed light on tissue complexity including the number of cell types and transcriptomic signatures of each cell type. Due to its importance, novel methods have been developed recently for this purpose. However, different approaches generate varying estimates regarding the number of clusters and the single-cell level cluster assignments.

SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data.

Motivation: Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different characteristics of data and yield varying results in terms of both the number of clusters and actual cluster assignments.

Results: Here, we present SAFE-clustering, single-cell aggregated (From Ensemble) clustering, a flexible, accurate and robust method for clustering scRNA-Seq data.

Accuracy of Predictions of Patients With Breast Cancer of Future Well-being After Immediate Breast Reconstruction.

Importance: Making a good decision about breast reconstruction requires predicting how one would feel after the procedure, but people tend to overestimate the impact of events on future well-being.

Objective: To assess how well patients predict future well-being after mastectomy, with or without immediate reconstruction, with the following a priori hypotheses: Patients will overestimate the negative impact of mastectomy and positive impact of reconstruction, and prediction accuracy will be associated with decision satisfaction and decision regret.

Design, Setting, And Participants: This prospective cohort survey study was conducted at a single, multidisciplinary academic oncology clinic from July 2012 to February 2014.

Quality of Patient Decisions About Breast Reconstruction After Mastectomy.

Importance: Breast reconstruction has the potential to improve a person's body image and quality of life but has important risks. Variations in who undergoes breast reconstruction have led to questions about the quality of patient decisions.

Objective: To assess the quality of patient decisions about breast reconstruction.

Stream-dependent development of higher visual cortical areas.

Multiple cortical areas contribute to visual processing in mice. However, the functional organization and development of higher visual areas are unclear. Here we used intrinsic signal optical imaging and two-photon calcium imaging to map visual responses in adult and developing mice.