Rare Presentation of <i>Mycobacterium tuberculosis</i> Mimicking Prostate Cancer
Bibliographic record
Abstract
Mycobacterium tuberculosis is primarily known to affect the lungs with cavitary lesions and enlarged lymph nodes as the first telltale sign. However, if the bacteria spread to extrapulmonary areas such as the bones, and lack lymphadenopathy, then the differential diagnosis may become misleading. We present a case of a 68-year-old male patient with a chief complaint of chronic left hip pain upon which computer tomography identified lytic lesions on the left hip. Given the mildly elevated prostate-specific antigen with a family history of prostate cancer, a bone biopsy was warranted. The biopsy revealed non-caseating granulomas and the DNA probe identified the Mycobacterium tuberculosis complex. This case signifies that atypical presentations of Mycobacterium tuberculosis may mimic other diagnoses and more invasive techniques such as a biopsy may be necessary. J Med Cases. 2022;13(2):66-70 doi: https://doi.org/10.14740/jmc3855
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".