Gouty Arthropathy of the Axial Skeleton Causing Cord Compression and Myelopathy
Bibliographic record
Abstract
A 70-year-old Caucasian female with a past medical history of hypertension, chronic renal insufficiency, dyslipidemia, hypothyoidism, anemia, congestive heart failure, recent humeral fracture, and longstanding gout, presented with a one-year history of progressive weakness and falls, increasing "clumsiness" in her hands and weakness of the lower extremities.Bowel and bladder function were intact.On examination, resistance in the lower extremities was reduced, sensation was diminished bilaterally, and hyperreflexia with sustained ankle clonus noted.Computed tomogram (CT) and magnetic resonance imaging (MRI) of the spine (Figures 1 and2) revealed a bilateral destructive process involving the posterior elements of T1 and T2, centered on the facet joints.There was anterior listhesis of T1 on T2 and increased T2 signal within the spinal cord.She underwent posterior decompression with instrumented fusion.Surgical pathology of the spinal mass was sent for histology and crystal analysis (Figure 3).Monosodium urate crystals were detected.The patient's deficits gradually improved postoperatively and the management of her gout (Serum Uric Acid [SUA] at presentation 792 umol/L) was optimized.Gouty arthropathy of the axial skeleton is well-described, affecting up to 17% of patients with chronic gout and is typically localized to the sacroiliac joints and the facet joints of spinal
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".