Spinal Cord Involvement in Granulomatosis With Polyangiitis: An Unusual Presentation
Bibliographic record
Abstract
A 40-year-old lady presented with rhinosinusitis, left-sided nodular scleritis and dyspnoea on exertion of 4-month duration. Computed tomography (CT) of the chest showed a cavitary granuloma whose biopsy revealed necrotising vasculitis. Indirect immunofluorescence assay showed anti-neutrophil cytoplasmic antibodies with a cytoplasmic pattern. She was diagnosed as a case of granulomatosis with polyangiitis (GPA) with otorhinological, ocular and pulmonary involvement. A month later, she developed dorsolumbar pain and lower limb parasthesias. Evaluation for the same revealed MRI evidence of granulation tissue at the lower dorsal levels. She was initially managed with injection of cyclophosphamide (CYC) and high-dose steroids, but with an inadequate response. Her treatment protocol was then modified to pulse injection of rituximab (RTX), and she gradually attained an adequate clinical and radiological recovery. Clin Infect Immun. 2018;3(3-4):80-82 doi: https://doi.org/10.14740/cii66w
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 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".