Obstetric outcomes of women with intracranial neoplasms
Bibliographic record
Abstract
OBJECTIVE: To determine the obstetric outcomes of women diagnosed with a primary intracranial neoplasm prior to or during pregnancy and the puerperium. METHODS: Demographic data, neurologic, obstetric, and neonatal outcomes were extracted retrospectively from charts identified from two hospital databases. RESULTS: Twenty-two patients with 25 pregnancies were identified. Thirteen patients were diagnosed prior to pregnancy (group 1); tumor growth or recurrence during pregnancy occurred in 3 patients. Nine patients were diagnosed during pregnancy and the puerperium (group 2); 7 underwent neurosurgery at a mean gestational age of 27+/-5.7 weeks; 2 experienced permanent visual loss. Significantly more gliomas occurred in group 1, but there were significantly more meningiomas in group 2. Numbers of cesarean delivery, preterm delivery at less than 34 weeks, and NICU admission were higher in group 2 than group 1, but this was not statistically significant. CONCLUSION: Although not statistically significant, neurologic deterioration during pregnancy may be associated with cesarean delivery, preterm delivery, and NICU admission.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".