Hyponatraemia caused by LGI1-associated limbic encephalitis
Bibliographic record
Abstract
Limbic encephalitis (LE), once thought to be a rare paraneoplastic phenomenon, is increasingly diagnosed in patients without malignancy. Autoimmune LE has emerged as a distinct clinical entity. Autoantibodies to neuronal cell surface proteins have been described and may now be tested for. This has led to an exponential increase in the number of cases being reported. The most recently implicated autoantibody is to the leucine-rich anti-glioma 1 protein (LGI1). This protein is involved in synaptic transmission and inherited loss-of-function mutations cause autosomal dominant lateral temporal epilepsy. LGI1 is also expressed in specific tubules in the kidney. Anti-leucine-rich anti-glioma 1 protein (anti-LGI1) LE presents with sub acute onset of progressive neurological, cognitive and psychiatric disturbance. The condition is complicated in up to 60% of cases with severe and life threatening hyponatraemia. As well as causing significant morbidity, the co-existence of hyponatraemia may confuse the initial diagnosis. We present a case of anti-LGI1 which was complicated by hyponatraemia with a comprehensive review of the literature.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".