Functional neurological deficit but not epilepsy alone increased the risk of death in childhood epilepsy
Bibliographic record
Abstract
(2002) Lancet 359, 1891; Camfield CS, Camfield PR, Veugelers PJ. . Death in children with epilepsy: a population-based study. . ; . : . –5 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: What are the risk factors for, and frequency of, all cause mortality in children with epilepsy? Inception cohort of children who developed epilepsy between 1977 and 1985 and were followed up for ≤22.5 years. Nova Scotia, Canada. 692 children (50% girls) who developed epilepsy (≥2 unprovoked seizures) between 1977 and 1985 in Nova Scotia. Exclusion criteria included acute provoking factors for seizures, evidence of progressive neurological disease, and children who had had only neonatal seizures, unless the seizures had stopped by the time of neonatal discharge from hospital and later recurred without provocation. In 1999, names and birth dates of the cohort were linked to the Nova Scotia provincial death and marriage registries (Division of Vital Statistics). For women >15 years of age, the marriage registry was checked to ascertain whether the names had been changed by marriage, and the marriage name was … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DCamfield%26rft.auinit1%253DC.%2BS.%26rft.volume%253D359%26rft.issue%253D9321%26rft.spage%253D1891%26rft.epage%253D1895%26rft.atitle%253DDeath%2Bin%2Bchildren%2Bwith%2Bepilepsy%253A%2Ba%2Bpopulation-based%2Bstudy.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252802%252908779-2%26rft_id%253Dinfo%253Apmid%252F12057550%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/S0140-6736(02)08779-2&link_type=DOI [3]: /lookup/external-ref?access_num=12057550&link_type=MED&atom=%2Febmed%2F8%2F1%2F31.atom [4]: /lookup/external-ref?access_num=000175975700007&link_type=ISI
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".