Publications by authors named "D J Carr"

Background: Dolutegravir (DTG) is an antiviral agent used for the treatment of HIV, however, there is uncertainty over the influence of genetic variation on DTG exposure, and whether it has clinical implications for the efficacy or toxicity in different populations. This systematic review aims to create an overview of the impact of pharmacogenomics (PGx) on DTG exposure, efficacy, and toxicity.

Methods: Publications up to 14 November 2023 were searched and articles were selected on the following criteria: original research articles providing data on people with HIV, data on PGx and either PK or PD or both PD and PGx.

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Importance: Urinary tract infection (UTI) is the most common complication of intradetrusor onabotulinumtoxinA (BTX-A) injection. Despite this, there are no evidence-based guidelines on antibiotic prophylaxis.

Objectives: Our primary aim was to determine whether antibiotic prophylaxis decreased symptomatic, culture-proven UTI rates within 6 weeks of intradetrusor BTX-A injection.

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Article Synopsis
  • - The study aimed to develop a deep learning segmentation model to locate basal cell carcinoma (BCC) on Mohs surgery (MMS) frozen section slides, which is crucial for precise tumor removal.
  • - Researchers utilized a dataset of 348 tissue slides and trained the model using the Ultralytics YOLOv8 framework, achieving varying sensitivity and specificity rates by BCC subtype.
  • - Results indicated good overall performance with a sensitivity of 71% and specificity of 75%, but highlighted the need for improved performance metrics for clinical application in segmentation studies.
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Objective: Robot-assisted (RA) technology is becoming more widely integrated and accepted in spine surgery. The authors sought to evaluate operative and patient-reported outcomes (PROs) in RA versus fluoroscopy-assisted (FA) pedicle screw placement during minimally invasive surgery (MIS) transforaminal lumbar interbody fusion (TLIF).

Methods: The authors retrospectively studied elective patients who underwent single- or multilevel MIS TLIF for degenerative indication using FA versus RA pedicle screw placement.

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Background: This study aims to explore the link between depression and dysmenorrhea by using an integrated and innovative approach that combines genomic, transcriptomic, and protein interaction data/information from various resources.

Methods: A two-sample, bidirectional, and multivariate Mendelian randomization (MR) approach was applied to determine causality between dysmenorrhea and depression. Genome-wide association study (GWAS) data were used to identify genetic variants associated with both dysmenorrhea and depression, followed by colocalization analysis of shared genetic influences.

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