Dizziness can be an early sole clinical manifestation for COVID‐19 infection: A case report
Bibliographic record
Abstract
SARS-CoV-2 is a novel strain of coronavirus that was first identified in Wuhan, China; it has since spread rapidly throughout the world. Most of the patients with COVID-19 present with respiratory symptoms, including cough, nasal symptoms, fever, and shortness of breath. However, several groups have reported that SARS-CoV-2 can infect the central nervous system via the olfactory bulb followed by spread throughout the brain and peripheral nervous system. This brief report illustrated a 78-year-old man who presented to the emergency department (ED) on March 22, 2020, with chief complaints of dizziness and unsteadiness while walking. He had no symptoms suggestive of COVID-19 on arrival. SARS-CoV-2 nasopharyngeal swab test performed at that time due to his atypical presentation and lymphocytopenia was positive for virus nucleic acids. The neurological symptoms associated with COVID-19 are frequently non-specific and may emerge several days before the respiratory symptoms; as such, identification of patients presenting with these subtle and seemingly unremarkable COVID-19 symptoms will be quite difficult. Added to this, numerous countries still limit testing for SARS-COV-2 to patients presenting with fever or respiratory symptoms. Frontline physicians should be aware of early, non-specific symptoms associated with SARS-CoV-2 infection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".