Publications by authors named "L Lawrence Marsh"
As the number of cerebral aneurysms treated with flow diverters continues to increase, it is important to understand what factors influence not only thrombus formation within the aneurysm cavity but also fibrin accumulation across the device and its associated disruption and blockage of the inflow stream. Both processes contribute to the eventual occlusion of the aneurysm or its continued patency and incomplete occlusion which may require future re-treatment. To investigate fibrin accumulation on flow diverters placed across the neck of cerebral aneurysms, a previously developed computational model that couples flow and fibrin dynamics is used in combination with experimental in vitro models of cerebral aneurysms treated with flow diverters.
View Article and Find Full Text PDFBackground: Previous reviews on serious adverse events (SAEs) following physical interventions involving the neck have focused on vascular SAEs or those related to cervical manipulation.
Objective: To review the evidence for all serious adverse events associated with any physical cervical procedures and describe SAE characteristics.
Methods: Searches were conducted in PubMed, EMBASE, CINAHL, Scopus, Cochrane, Web of Science and Index to Chiropractic Literature from inception to May 2023 for studies reporting characteristics of SAE following any neck intervention and patient demographics.
Learning verbs is an important part of learning one's native language. Prior studies have shown that children younger than 5 years can have difficulty in learning and extending new verbs. The current study extended these studies by showing children multiple events that can be compared during learning, including Japanese- and English-speaking children.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates how using small datasets to select an optimal cutoff score for the Patient Health Questionnaire-9 (PHQ-9) can lead to inaccurate results.
- Researchers evaluated whether data-driven methods for cutoff selection resulted in scores that were significantly different from the true population optimal score and if these methods produced biased accuracy estimates.
- Findings showed that many small studies frequently failed to identify the correct optimal cutoff score, particularly in smaller samples, leading to an overestimation of test sensitivity.