Anti-N-Methyl-D-Aspartate Receptor Encephalitis and Ovarian Teratoma: A Case Report
Bibliographic record
Abstract
Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is often associated with ovarian teratomas in young women. However, children are less likely to develop this condition. We herein report a very rare case of anti-NMDAR encephalitis and an ovarian teratoma in a young girl. A previously healthy 9-year-old girl presented with convulsions and unconsciousness. Her cerebral spinal fluid was positive for anti-NMDAR antibody. She underwent immunotherapy, and although her clinical course improved, she did not fully recover. A right ovarian teratoma was then found and removed, and she became negative for anti-NMDAR antibody. She exhibited almost full recovery and no relapse. Tumor resection is recommended in the treatment of anti-NMDAR encephalitis. A tumor search should be actively carried out in patients aged < 12 years. Int J Clin Pediatr. 2017;6(1-2):20-23 doi: https://doi.org/10.14740/ijcp260w
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| 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".