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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".