Anti-HMGCR Necrotizing Autoimmune Myopathy Leading to Identification of Cancer Relapse
Bibliographic record
Abstract
In 2004, a 57-years-old female received rosuvastatin for secondary prevention of stroke. In 2010, an asymptomatic CK elevation around 900 IU/L is noticed on a routine workup and persisted despite statin discontinuation. A rise in CK level is progressively observed (up to 2 400 IU/L) and the patient referred in Neurology for consultation in March 2011. Proximal (deltoid: 4/5, psoas: 4/5) and axial (neck flexors: 4/5) muscle weakness was notedwith CK level around 2 000 IU/L. The patient had only low-titer antinuclear antibodies (ANAs: 1/80), both negative extractable nuclear antigen antibodies (anti-ENA) and dot myositis profile (including anti-Jo1, -PL7, -PL12, -Pm/Scl, -Scl70, -Ku, -SRP, -Mi-2 (immunodot, PMS7D, Blue DOT, D-tek)) and EMG was consistent with myositis.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".