Bibliographic record
Abstract
Status epilepticus is defined as a continuous seizure lasting for at least 30 minutes or recurrent seizures persisting for over 30 minutes, without recovery of consciousness. The estimated incidence in childhood is approximately 20 per 100,000 children per year. The incidence is higher in those under one year of age, with an incidence of approximately 50 per 100,000 per year. Among 1-4 year olds, approximately 30 per 100,000 per year will have an episode of status and in those aged 5-9 years, the incidence is approximately 10 per 100,000 per year. Those aged 10-15 years have the lowest incidence (approximately 2 per 100,000 per year). The mortality associated with status epilepticus in children is estimated at 2.5-5%, and is primarily related to the underlying cause of the episode of status. Neurological morbidity is seen in less than 15% of affected children. In most cases, the episode of status is either a single isolated event or is the first manifestation of epilepsy. Only 12% of cases occur in children with a prior diagnosis of epilepsy. It is essential to have an organized approach for dealing with status epilepticus. There is little data to support the contention that one protocol is better than another. It is recommended that each center should decide on a protocol that is rational and is standard practice for their patients. Most centers initiate therapy with either buccal or intravenous lorazepam. Alternate initial therapies include diazepam or midazolam. Early treatment is generally recommended although, in humans, there is minimal evidence that the length of seizure directly affects outcome. There is however, abundant evidence in animals, which indicates that longer seizures are harmful and result in poorer outcome. Early intervention does, however, increase the likelihood of attaining seizure control in humans. The optimal management of the child in a prolonged seizure therefore demands an understanding of the potential causes, appropriate investigations, and therapy.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".