Acute Epiploic Appendagitis in a COVID-19-Positive Patient With Antiphospholipid Syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As the coronavirus disease 2019 (COVID-19) pandemic is still underway, a range of clinical presentations and pathologies continue to present themselves in unexpected ways. One such pathology is that of epiploic appendagitis, an uncommon and underdiagnosed cause of acute abdominal pain. We present the case of a 50-something-year-old male who presented with left lower quadrant abdominal pain in the setting of acute COVID-19 infection, found to have acute epiploic appendagitis. After persistent moderate to severe abdominal pain, epiploic appendagitis was diagnosed by computed tomography (CT) imaging findings. The patient was managed for his COVID-19 pneumonia over the course of his hospitalization, as well as conservatively managed with pain control measures for his epiploic appendagitis. This is the second reported case in the literature to the best of our knowledge that shares the case of acute epiploic appendagitis in a patient presenting with acute abdominal pain, who is also found to be COVID-19-positive. Procoagulant changes in coagulation pathways are found in patients with severe COVID-19, and contribute to venous thromboembolism in this patient population. Diagnosing and conservatively managing epiploic appendagitis will lead to decreasing misdiagnosis, preventing invasive or inappropriate treatments that may increase harm to patients, and more adequately understanding the complications associated with 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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 it