Evidence map›Paper›PMID 35407619›Full record

ArticleJournal of clinical medicine2022

Standardized Classification of Cerebral Vasospasm after Subarachnoid Hemorrhage by Digital Subtraction Angiography.

Helena Merkel, Dirk Lindner, Khaled Gaber, Svitlana Ziganshyna, Jennifer Jentzsch, Simone Mucha, Thilo Gerhards, Sabine Sari, Annika Stock, Felicitas Vothel and 6 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

16 authors.

Helena MerkelDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Dirk LindnerDepartment of Neurosurgery, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Khaled GaberDepartment of Neurosurgery, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Svitlana ZiganshynaDepartment of Anaesthesiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Jennifer JentzschDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Simone MuchaDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Thilo GerhardsDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Sabine SariDepartment of Neuroradiology, Giessen University Hospital, Klinikstraße 33, 35392 Giessen, Germany.
Annika StockDepartment of Neuroradiology, Würzburg University Hospital, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.
Felicitas VothelDepartment of Radiology and Neuroradiology, Sana Hospital Borna, Rudolf-Virchow-Straße 2, 04552 Borna, Germany.
Lea FalterDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Ulf QuäschlingDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Karl-Titus HoffmannDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Jürgen MeixensbergerDepartment of Neurosurgery, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.
Dirk HalamaDepartment of Oral and Maxillofacial Surgery, Leipzig University Hospital, Liebigstraße 12, 04103 Leipzig, Germany.
Cindy RichterDepartment of Neuroradiology, Leipzig University Hospital, Liebigstraße 20, 04103 Leipzig, Germany.ORCID 0000-0001-5105-9676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the last decade, cerebral vasospasm after aneurysmal subarachnoid hemorrhage (SAH) was a current research focus without a standardized classification in digital subtraction angiography (DSA). This study was performed to investigate a device-independent visual cerebral vasospasm classification for endovascular treatment.

methodsThe analyses are DSA based rather than multimodal. Ten defined points of intracranial arteries were measured in 45 patients suffering from cerebral vasospasm after SAH at three time points (hospitalization, before spasmolysis, control after six months). Mathematical clustering of vessel diameters was performed to generate four objective grades for comparison. Six interventional neuroradiologists in two groups scored 237 DSAs after a new visual classification (grade 0-3) developed on a segmental pattern of vessel contraction. For the second group, a threshold-based criterion was amended.

resultsThe raters had a reproducibility of 68.4% in the first group and 75.2% in the second group. The complementary threshold-based criterion increased the reproducibility by about 6.8%, while the rating deviated more from the mathematical clustering in all grades.

conclusionsThe proposed visual classification scheme of cerebral vasospasm is suitable as a standard grading procedure for endovascular treatment. There is no advantage of a threshold-based criterion that compensates for the effort involved. Automated vessel analysis is superior to compare inter-group results in research settings.

Indexed as

cerebral vasospasmclassificationsubarachnoid hemorrhagevessel diameter

Identifiers

PMID35407619
PMCPMC9000178

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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.