An Atypical Presentation of COVID-19 in a Previously Healthy Young Male With a Rare Cause of Abdominal Pain
Bibliographic record
Abstract
Coronavirus disease 2019 (COVID-19) is an emerging infectious disease caused by a newly discovered coronavirus that has reached pandemic proportions impacting millions globally. Authors feature an atypical case of COVID-19 presenting with a rare cause of abdominal pain and severe hyperglycemia. A 22-year-old male presented to the hospital with a 1-day history of severe abdominal pain. An abdominal computed tomography (CT) scan revealed findings of epiploic appendagitis (EA) and incidentally noted suspicious pulmonary lesions suggestive of COVID-19. Radiographic findings and distinctive laboratory results led to prompt testing by nasopharyngeal polymerase chain reaction (PCR), which ultimately confirmed the proposed diagnosis. Additionally, a significantly elevated hemoglobin A1c (HbA1c) signified undiagnosed diabetes mellitus. The patient was treated conservatively with supportive measures and made a full recovery. To our knowledge, this is the first case to describe how EA, a rare cause of abdominal pain, indirectly led to the diagnosis of COVID-19.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".