Safety of Pregnancy in Ventriculoperitoneal Shunt Dependent Women: Meta-analysis and Systematic Review of the Literature
Bibliographic record
Abstract
OBJECTIVE: To assess the safety of pregnancy in ventriculoperitoneal (VP) shunt-dependent women. METHODS: Three electronic databases MEDLINE (PubMed), EMBASE, and the Cochrane Library were systematically searched to identify studies published in English between 1950 and 2019. We additionally searched Web of Science, Google Scholar, and ClinicalTrials.gov. RESULTS: Among the 38 cases of pregnant VP shunt-dependent women, median age was 25.5 years and shunting duration was 15.5 years with 11 women being shunted at birth or soon after. Congenital diseases were the most common reason for shunting, present in 63.2% of women. The antepartum complications were reported in 50% of cases with the symptoms of increased ICP being the most commonly reported (73.7%). In the majority of cases the complications were resolved with cerebrospinal fluid aspiration (26.3%). Eight women (42.1%) had spontaneous vaginal delivery, 4 had assisted vaginal delivery, while 7 women underwent cesarian section. There was one fetal demise occurred in a woman that was diagnosed with tuberous sclerosis and presented with status epilepticus during the pregnancy. CONCLUSION: A multidisciplinary approach is needed in managing the VP shunts during the pregnancy and post-partum periods to ensure the best pregnancy outcome for both mothers and the fetus. Based on our findings, VP shunt appears not to be a contraindication for pregnancy. The routine use of prophylactic antibiotics to prevent shunt infection is not recommended. Vaginal delivery should be attempted unless a cesarean section is inevitably required for obstetrics reasons.
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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 | 0.012 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.025 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".