Complete Superior Sagittal Sinus Thrombosis Along With Subarachnoid Hemorrhage During Early Postpartum Period, Presented by Left Hemiparesis: A Rare Case Report
Bibliographic record
Abstract
Cerebral venous sinus thrombosis (CVST) is a fatal neurological emergency during pregnancy and puerperium. We report a 25-year-old woman with superior sagittal sinus thrombosis (SSST) along with subarachnoid hemorrhage developed 4 days after an uncomplicated vaginal birth, presenting with a 3-day history of global headache and sudden onset of left-sided hemiparesis. After confirmatory diagnosis by magnetic resonance imaging (MRI) of the brain, she was treated with low molecular weight heparin (LMWH) followed by warfarin. She recovered within a few weeks and was regularly followed up. SSST may present during puerperium to the obstetrician and physician with various non-specific presentations, so physicians caring for women in the peripartum period should be familiar with the differential diagnosis and have a high index of suspicion for CVST with or without intracranial hemorrhage. A multidisciplinary approach is important to the management of this rare complication of pregnancy and puerperium. J Neurol Res. 2017;7(4-5):89-93 doi: https://doi.org/10.14740/jnr452w
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Clinical case report of postpartum sinus thrombosis.
This is a clinical case report about cerebral venous thrombosis, not research practice.
Clinical case report of postpartum cerebral venous thrombosis; medical case study.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".