Evidence map›Paper›PMID 37158391›Full record

ArticleJournal of neurosurgery. Case lessons2023

Symptomatic intracranial tumors in pregnancy: an updated management algorithm. Illustrative case.

Youssef M Zohdy, Matthew Agam, Justin Maldonado, Arman Jahangiri, Gustavo Pradilla, Tomas Garzon-Muvdi

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Brain Stem Tumor in Early Gestation: Two Case Reports.Iranian journal of medical sciences · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Youssef M Zohdy
Matthew Agam
Justin Maldonado
Arman Jahangiri
Gustavo Pradilla
Tomas Garzon-Muvdi
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracranial tumors are infrequently encountered during pregnancy, and their diagnosis and management require a multidisciplinary approach to ensure the best possible outcomes for the mother and fetus. The pathophysiology and manifestations of these tumors are influenced by hormonal changes, hemodynamic modifications, and alterations in immunological tolerance that occur during pregnancy. Despite the complexity of this condition, no standardized guidelines exist. This study aims to highlight the key points of this presentation, along with the discussion of a possible management algorithm. OBSERVATIONS: The authors report the case of a 35-year-old woman who presented during the third trimester of pregnancy with severe signs of increased intracranial pressure (ICP) due to a posterior cranial fossa mass. The decision was made to stabilize the patient by placing an external ventricular drain to temporize her increased ICPs until the baby could be safely delivered via cesarean section. The mass was resected via suboccipital craniectomy 1 week postpartum. LESSONS: In considering treatment modalities and their timing in patients presenting with intracranial tumors during pregnancy, each patient should be managed on the basis of an individual treatment algorithm. Symptoms, prognosis, and gestational age should be taken into account to optimize the surgical and perioperative outcomes of both the mother and fetus.

Indexed as

aneurysmal bone cystbrain tumor in pregnancyEVDexternal ventricular drainhemodynamic changeICPintracranial pressure

Identifiers

PMID37158391
PMCPMC10550691
OpenAlexW4375956194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.