Tuberculosis of the Cervix Mimicking Carcinoma
Bibliographic record
Abstract
This is a rare case of a 35-year-old lady who presented initially to the reproductive clinic for failure to conceive after 5 years and also complained of persistent post-coital bleeding for the past 1 year. A 3-cm exophytic cervical lesion was noted on colposcopy and the impression then was of cervical cancer. Computed tomography (CT) scan of the abdomen showed multiple peritoneal nodules and magnetic resonance imaging (MRI) pelvis showed a 3.4-cm cervical tumor with possible parametrial invasion. Both results were also suggestive of malignancy. Histology, however, returned as caseating granulomatous inflammation compatible with tuberculosis. There was complete resolution of the cervical lesion after 3 months of anti-tuberculosis treatment. Tuberculosis of the cervix is an extremely rare initial presentation of tuberculosis. Hence, there should be a high index of suspicion during colposcopy for tuberculosis when low-risk patients are found to have a cervical lesion. J Med Cases. 2018;9(7):204-206 doi: https://doi.org/10.14740/jmc3074w
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".