Evidence map›Paper›PMID 41569903›Full record

ArticleJournal of neurosurgery. Case lessons2025

Extensive peritruncal subarachnoid hemorrhage: a risk factor for the development of spinal arachnoid cysts. Illustrative cases.

Laura Krismer, Sameer Nazeeruddin, Theo Demerath, Christian Scheiwe, Christine Julia Gizaw, Jürgen Beck, Roland Roelz

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Laura KrismerDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.ORCID 0009-0002-2980-8866
Sameer NazeeruddinDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Theo DemerathDepartment of Neuroradiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Christian ScheiweDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Christine Julia GizawDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Jürgen BeckDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Roland RoelzDepartment of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal arachnoid cysts (SACs) are a rare, delayed complication after aneurysmal subarachnoid hemorrhage (aSAH), potentially leading to spinal cord injury. Pathogenesis and preventive strategies remain poorly understood, and management is often frustrating. The authors reviewed their institutional 19-year aSAH patient registry to explore SAC prevalence and potential risk factors. OBSERVATIONS: Among 1470 aSAH admissions (2005-2023), 1098 of whom were 6-month survivors, 5 patients (0.46%) developed symptomatic, imaging-confirmed SAC. All featured ruptured posterior circulation aneurysms with extensive peritruncal blood distribution, yielding an 11.4% SAC rate in this subgroup. In the authors' clinic, active blood clearance for aSAH therapy was introduced in October 2015. Notably, all SAC cases occurred in patients who did not receive active blood clearance (3 before October 2015 and 2 who were not eligible), resulting in a prevalence of 15.2%. The median time to myelopathy onset was 28 months (range 5-76 months). Four patients underwent surgery, but neurological deficits persisted; 1 patient still walked independently, 3 needed assistance, and 1 was nonambulatory. LESSONS: SACs may represent an underrecognized complication after aSAH, observed exclusively in patients with extensive peritruncal hemorrhage from posterior circulation aneurysms. The fact that all cases occurred in the absence of active blood clearance suggests a potential preventive role of this intervention. https://thejns.org/doi/10.3171/CASE25470.

Indexed as

aneurysmal subarachnoid hemorrhagecase reportprevalencerisk factorspinal arachnoid cysts

Identifiers

PMID41569903
PMCPMC12706480

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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.