Coronavirus Disease 2019 (COVID-19) Real World Data Infrastructure: A Big-Data Resource for Study of the Impact of COVID-19 in Patient Populations With Immunocompromising Conditions.

Background: We developed a United States-based real-world data resource to better understand the continued impact of the coronavirus disease 2019 (COVID-19) pandemic on immunocompromised patients, who are typically underrepresented in prospective studies and clinical trials.

Methods: The COVID-19 Real World Data infrastructure (CRWDi) was created by linking and harmonizing de-identified HealthVerity medical and pharmacy claims data from 1 December 2018 to 31 December 2023, with severe acute respiratory syndrome coronavirus 2 virologic and serologic laboratory data from major commercial laboratories and Northwell Health; COVID-19 vaccination data; and, for patients with cancer, 2010 to 2021 National Cancer Institute Surveillance, Epidemiology, and End Results registry data.

Results: The CRWDi contains 4 cohorts: patients with cancer; patients with rheumatic diseases receiving pharmacotherapy; noncancer solid organ and hematopoietic stem cell transplant recipients; and people from the general population including adults and pediatric patients.

Heterogeneity of the Treatment Effect with PARP Inhibitors in Metastatic Castration-resistant Prostate Cancer: A Living Interactive Systematic Review and Meta-analysis.

Background And Objective: Selection of patients harboring mutations in homologous recombination repair (HRR) genes for treatment with a PARP inhibitor (PARPi) is challenging in metastatic castration-resistant prostate cancer (mCRPC). To gain further insight, we quantitatively assessed the differential efficacy of PARPi therapy among patients with mCRPC and different HRR gene mutations.

Methods: This living meta-analysis (LMA) was conducted using the Living Interactive Evidence synthesis framework.

Collaborative large language models for automated data extraction in living systematic reviews.

Objective: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimics the real-world 2-reviewer process.

Materials And Methods: A dataset of 10 trials (22 publications) from a published LSR was used, focusing on 23 variables related to trial, population, and outcomes data.

Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians.

Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated promising applications of LLMs in medical imaging, and this number will grow as LLMs further evolve into large multimodal models (LMMs) capable of processing both text and images. Given the substantial roles that LLMs and LMMs will have in health care, it is important for physicians to understand the underlying principles of these technologies so they can use them more effectively and responsibly and help guide their development.

Defining the Cost of Arthroscopic Rotator Cuff Repair: A Multicenter, Time-Driven Activity-Based Costing and Cost Optimization Investigation.

Background: Rotator cuff repair (RCR) is a frequently performed outpatient orthopaedic surgery, with substantial financial implications for health-care systems. Time-driven activity-based costing (TDABC) is a method for nuanced cost analysis and is a valuable tool for strategic health-care decision-making. The aim of this study was to apply the TDABC methodology to RCR procedures to identify specific avenues to optimize cost-efficiency within the health-care system in 2 critical areas: (1) the reduction of variability in the episode duration, and (2) the standardization of suture anchor acquisition costs.

Impact of chronic ethanol consumption and SARS-COV-2 on the liver and intestine: A pilot dose-response study in mice.

Background: During the coronavirus disease 2019 (COVID-19) pandemic, there was a marked increase in alcohol consumption. COVID-19 superimposed on underlying liver disease notably worsens the outcome of many forms of liver injury. The goal of a current pilot study was to test the dual exposure of alcohol and COVID-19 infection in an experimental animal model of alcohol-associated liver disease (ALD).

Protein-Enabled Size-Selective Defect-Sealing of Atomically Thin 2D Membranes for Dialysis and Nanoscale Separations.

Atomically thin 2D materials present the potential for advancing membrane separations via a combination of high selectivity (from molecular sieving) and high permeance (due to atomic thinness). However, the creation of a high density of precise nanopores (narrow-size-distribution) over large areas in 2D materials remains challenging, and nonselective leakage from nanopore heterogeneity adversely impacts performance. Here, we demonstrate protein-enabled size-selective defect sealing (PDS) for atomically thin graphene membranes over centimeter scale areas by leveraging the size and reactivity of permeating proteins to preferentially seal larger nanopores (≥4 nm) while preserving a significant amount of smaller nanopores (via steric hindrance).

The histone chaperone Spt6 controls chromatin structure through its conserved N-terminal domain.

The disassembly and reassembly of nucleosomes by histone chaperones is an essential activity during eukaryotic transcription elongation. This highly conserved process maintains chromatin integrity by transiently removing nucleosomes as barriers and then restoring them in the wake of transcription. While transcription elongation requires multiple histone chaperones, there is little understanding of how most of them function and why so many are required.

Treatment regimens and glycaemic outcomes in more than 100 000 children with type 1 diabetes (2013-22): a longitudinal analysis of data from paediatric diabetes registries.

Background: Advances in paediatric type 1 diabetes management and increased use of diabetes technology have led to improvements in glycaemia, reduced risk of severe hypoglycaemia, and improved quality of life. Since 1993, progressively lower HbA targets have been set. The aim of this study was to perform a longitudinal analysis of HbA, treatment regimens, and acute complications between 2013 and 2022 using data from eight national and one international paediatric diabetes registries.

Atomic-Scale Dynamic Mechanisms of Embedded MoS Wires.

Nanowires composed of a 1:1 stoichiometry of transition metals and chalcogen ions can be fabricated from two-dimensional transition metal dichalcogenides (TMDs) by using electron beam irradiation. Wires fabricated through in situ experiments can be geometrically connected to TMD sheets in various ways, and their physical properties can vary accordingly. Understanding the structural transformation caused by electron beams is critical for designing wire-sheet structures for nanoelectronics.

Multicentre randomised controlled trial comparing Bankart repair with remplissage and Latarjet procedure in shoulder instability with subcritical bone loss (STABLE): study protocol.

Introduction: Recurrent shoulder dislocations often cause attrition of the labrum and progressive loss of the anterior bony contour of the glenoid. Treatment options for this pathology involve either soft tissue repair or bony augmentation procedure. The optimal management for patients with shoulder instability with subcritical bone loss remains unknown and current clinical practice is highly varied.

Research and product development for Crimean-Congo haemorrhagic fever: priorities for 2024-30.

Crimean-Congo haemorrhagic fever (CCHF) is a widely distributed and potentially fatal tick-borne viral disease with no licensed specific treatments or vaccines. In 2019, WHO published an advanced draft of a research and development roadmap for CCHF that prioritised the development and deployment of the medical countermeasures most needed by CCHF-affected countries. This Personal View presents updated CCHF research and development priorities and is the product of broad consultation with a working group of 20 leading experts in 2023-24.

Acquired buried penis: an observational study characterizing the variability in procedural codes reported during surgery.

Background: Adult acquired buried penis (ABP) is a heterogenous condition and surgical treatment typically includes several steps. Additionally, there is no consensus on which current procedural terminology (CPT) codes to utilize for these steps. Our objective is to characterize the variability in CPT codes reported for ABP surgeries.

SEETrials: Leveraging large language models for safety and efficacy extraction in oncology clinical trials.

Background: Initial insights into oncology clinical trial outcomes are often gleaned manually from conference abstracts. We aimed to develop an automated system to extract safety and efficacy information from study abstracts with high precision and fine granularity, transforming them into computable data for timely clinical decision-making.

Methods: We collected clinical trial abstracts from key conferences and PubMed (2012-2023).

Chromosomal-Level Genome Assembly of the Antarctic Sea Urchin Sterechinus neumayeri: A Model for Antarctic Invertebrate Biology.

The Antarctic sea urchin Sterechinus neumayeri (Echinoida; Echinidae) is routinely used as a model organism for Antarctic biology. Here, we present a high-quality genome of S. neumayeri.

Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality.

Meta-researchers commonly leverage tools that infer gender from first names, especially when studying gender disparities. However, tools vary in their accuracy, ease of use, and cost. The objective of this study was to compare the accuracy and cost of the commercial software Genderize and Gender API, and the open-source gender R package.

Collaborative Large Language Models for Automated Data Extraction in Living Systematic Reviews.

Objective: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimics the real-world two-reviewer process.

Materials And Methods: A dataset of 10 clinical trials (22 publications) from a published LSR was used, focusing on 23 variables related to trial, population, and outcomes data.

Hepatic Proteomic Changes Associated with Liver Injury Caused by Alcohol Consumption in Mice.

Alcohol-associated liver disease (ALD) is a prevalent medical problem with limited effective treatment strategies. Although many biological processes contributing to ALD have been elucidated, a complete understanding of the underlying mechanisms is still lacking. The current study employed a proteomic approach to identify hepatic changes resulting from ethanol (EtOH) consumption and the genetic ablation of the formyl peptide receptor 2 (FPR2), a G-protein coupled receptor known to regulate multiple signaling pathways and biological processes, in a mouse model of ALD.

Integrating Patients Into Programmes to Address the Allergy Knowledge Practice Gap.

There is a wide gap between the first publication of new treatments with efficacy and their successful application in clinical practice. In many respects, the management of allergic diseases is a good exemplar of the knowledge/practice gap. It was assumed that systematic reviews and publication of guidelines would ensure timely delivery of effective care, but this has not proved to be the case.

Fluorine-Tuned Carbon-Based Nickel Single-Atom Catalysts for Scalable and Highly Efficient CO Electrocatalytic Reduction.

Electrocatalytic CO reduction is garnering significant interest due to its potential applications in mitigating CO and producing fuel. However, the scaling up of related catalysis is still hindered by several challenges, including the cost of the catalytic materials, low selectivity, small current densities to maintain desirable selectivity. In this study, Fluorine (F) atoms were introduced into an N-doped carbon-supported single nickel (Ni) atom catalyst via facile polymer-assisted pyrolysis.