Bibliographic record
Abstract
Sarcoidosis is an idiopathic multisystem disease, characterized by non-caseating granulomas in affected organs. Pulmonary involvement is the most common site of disease activity, although the disease can also affect the liver, bone marrow, and heart. We report a case of symptomatic hepatic sarcoidosis in a 31-year-old African-Canadian woman which responded to treatment with doxycycline. The patient was referred to internal medicine from a peripheral emergency department after presenting with fever, hepatitis, and thrombocytopenia with a computed tomography scan concerning for hepatic abscesses. The patient remained febrile with worsening liver enzymes despite broad spectrum antibiotics. An extensive infectious workup was negative. Biopsies of bone marrow and liver revealed non-caseating granuloma, and an elevated angiotensin-converting enzyme level. Doxycycline, initially started for presumptive infective etiology, lead to rapid resolution of symptoms and normalization of biochemical markers. To our knowledge, this is the first case report of doxycycline used to treat hepatic sarcoidosis in Canada.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".