Sarcoidosis Masquerading as Miliary Tuberculosis: A Case Report
Bibliographic record
Abstract
A miliary nodular pattern of the lungs is an unusual presentation of sarcoidosis. Diagnosis of this condition can be challenging and requires exclusion of other lung pathology. A 47-year-old African American male presented to his doctor with a complaint of unintentional weight loss, exertional dyspnea and cough. The patient had a history of chronic smoking as well as recent incarceration. A miliary nodular pattern was found on CT scan of the lungs in a random distribution (with prominent peri-lymphatic distribution). HIV was ruled out. Tuberculosis (TB) and fungal infections were ruled out by tissue specimens and cultures from bronchoalveolar washings. Non-caseating granulomas on tissue specimens, peripheral smear lymphopenia and an elevated angiotensin converting enzyme (ACE) level were the positive findings on pathology and labs. The patient responded to a tapering course of oral steroids. This case demonstrates one of the unusual clinical presentations of sarcoidosis. Sarcoidosis is an autoimmune condition with predilection for middle aged African American patients.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| 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".