Bibliographic record
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2, the virus responsible for Coronavirus Disease 2019 (COVID-19), has infected more than 8 million people worldwide and placed massive strains on healthcare systems around the world. Although classically causing cough, fever, and shortness of breath, increasing evidence suggests that manifestations of COVID-19 can be more subtle or masquerade as other clinical entities. CASE REPORT A 48-year-old man with hypertension and type 2 diabetes mellitus presented to the Emergency Department with acute-onset pleuritic chest pain that had developed 1 day earlier and was found to be hypoxemic, requiring supplemental oxygen. He was admitted under the internal medicine service and underwent an extensive workup for his chest pain and hypoxemia, including a negative computed tomography scan with pulmonary embolism protocol, negative nuclear medicine ventilation/perfusion scan, normal electrocardiogram, and normal echocardiography. In the end, he was diagnosed with viral pleuritis as the diagnosis of exclusion. Our patient subsequently developed a fever and shortness of breath and his nasopharyngeal swab performed on admission to hospital returned positive for COVID-19. The patient's pleuritic pain and oxygen requirements improved with supportive management over the next several days. CONCLUSIONS I report a patient who experienced pleuritic chest pain from viral pleurisy that was the initial manifestation of COVID-19 which, to the best of my knowledge, has not yet been reported in the literature. This case report further emphasizes that COVID-19 may present with atypical symptoms. It is crucial to be aware of these atypical presentations of COVID-19 so that patients are appropriately identified, isolated, and treated, while protecting health care workers from exposure.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".