SARS-CoV-2 Infection and Stroke: Coincident or Causal?
Walker, M.; Young, C. C.; Sharma, M.; Levitt, M. R.; Tirschwell, D. L.; WWAMI Stroke Investigators,
Show abstract
Neurological manifestations of SARS-CoV-2 infection described in isolated case reports and single institutions do not accurately reflect the clinical spectrum of disease across all geographies in a global pandemic. Data collected during peak of the Covid-19 pandemic from stroke centers in five states reveal few similarities to what has recently been published. Given the diversity in phenotype, we caution policymakers and health care providers when considering cerebrovascular complications from SARS-CoV-2 infection.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Left Hemisphere Bias of NIH Stroke Scale is Most Severe for Middle Cerebral Artery Strokes 93%
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 92%
- Physician-confirmed and administrative definitions of stroke in UK Biobank reflect the same underlying genetic trait 91%
Similar papers in this journal
- Frequency of neurological manifestations in COVID-19: a systematic review and meta-analysis of 350 studies 91%
- Circulating interleukin-6 levels and incident ischemic stroke: a systematic review and meta-analysis of population-based cohort studies 91%
- Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden 89%
Similar papers in this journal
- Short report: Targeted analysis of whole exome sequencing data in Indian cryptogenic stroke patients 91%
- Good recovery of immunization stress-related responses presenting as cluster of stroke-like events following CoronaVac and ChAdOx1 vaccinations 90%
- Non-invasive Auricular Vagus nerve stimulation for Subarachnoid Hemorrhage (NAVSaH): Protocol for a prospective, triple-blinded, randomized controlled trial 90%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.