Severe Sensory Neuronopathy in Primary Sjögren Syndrome Resulting in Charcot Arthropathy
Bibliographic record
Abstract
To the Editor: Sjögren syndrome (SS), an autoimmune disorder affecting the exocrine glands, is known to have many extraglandular manifestations including peripheral neuropathy1. In the setting of an underlying neuropathy, progressive joint destruction is known as Charcot arthropathy. We present a case of a 68-year-old woman with known SS presenting with functional loss of the right arm. She had presented initially 15 years earlier with keratoconjunctivitis sicca, arthralgias, and complaints of numbness and tingling of the right arm and both hands, and a positive antinuclear antibody (ANA). A diagnosis of SS was made; however, the patient was subsequently lost to followup. She was re-referred with a 6-month history of right shoulder pain. Rheumatology assessment revealed a 15-year history of right arm numbness, keratoconjunctivitis sicca, xerostomia, arthralgias, and fatigue. On history she reported an insensate right arm for “many years,” as well as a recent decrease in right leg sensation. There were no additional connective tissue disease symptoms other than an intermittent facial rash. Her medical history was otherwise unremarkable and she was not taking any … Address correspondence to Dr. C.A. Peschken, Associate Professor, Departments of Internal Medicine and Community Health Sciences, Faculty of Health Sciences, University of Manitoba, RR149 Arthritis Centre, 800 Sherbrook St., Winnipeg, Manitoba R3A 1M4, Canada. E-mail: Christine.peschken{at}umanitoba.ca
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| 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".