Publications by authors named "M C Au"

Low-income, urban-dwelling Black adults are disproportionately affected by traumatic experiences, post-traumatic stress disorder (PTSD), and depression and encounter inequities in treatment access. In addition to the benefits Mindfulness-Based Cognitive Therapy (MBCT) for depression, there is preliminary evidence of successful symptom reduction in PTSD via MBCT across two prior pilot studies in veterans. Studies examining the effects of MBCT among trauma-exposed Black adults remains limited, and examination of effects across specific PTSD clusters is almost nonexistent.

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Importance: Intraoperative parathyroid hormone (IOPTH) monitoring is recommended by the American Association of Endocrine Surgeons for use during parathyroidectomy for patients with primary hyperparathyroidism (PHPT), but there is no clinician consensus regarding the IOPTH monitoring criteria that optimize diagnostic accuracy.

Objective: To evaluate and rank the diagnostic properties of IOPTH monitoring criteria used during surgery for patients with PHPT.

Data Sources: A bayesian diagnostic test accuracy network meta-analysis (DTA-NMA) was performed, in which peer-reviewed citations from January 1, 1990, to July 22, 2023, were searched for in MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL.

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Background: Randomized-clinical trials (RCTs) are the gold-standard for comparing health care interventions, but can be limited by early termination, feasibility issues, and prolonged time to trial reporting. Adaptive clinical trials (ACTs), which are defined by pre-planned modifications and analyses that occur after starting patient recruitment, are gaining popularity as they can streamline trial design and time to reporting. As adaptive methodologies continue to be adopted by researchers, it will be critical to develop a risk of bias tool that evaluates the unique methodological features of ACTs so that their quality can be improved and standardized for the future.

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Article Synopsis
  • Graphite Furnace-Atomic Absorption Spectrometry (GF-AAS) is highly sensitive for trace element analysis but struggles with solid sample preparation, like soils and microplastics, due to time-consuming methods that increase measurement uncertainty and carbon footprints.
  • A novel autosampler extension has been developed to enhance GF-AAS by ensuring sample suspension stability and preventing evaporation and contamination, offering reliable results with impressive recovery rates in various materials.
  • This advancement streamlines trace element analysis in complex samples, making it an essential tool for environmental monitoring and regulatory compliance while improving accuracy and efficiency in high-throughput settings.
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