Evidence map›Paper›PMID 36745214›Full record

ArticleClinical neuroradiology2023

Thrombectomy of Mild Stroke : An Analysis of the Nationwide Registry of the German Society for Neuroradiology.

Ludger Feyen, Marcus Katoh, Patrick Haage, Nico Münnich, Martin Weinzierl, Christian Blockhaus, Stefan Rohde, Helge C Kniep

Open access · hybridAbstract read
In one paragraph

Article in Clinical neuroradiology, 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
1.3field-weighted citation impact, top 20% 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. Article
  2. Observational
  3. Outcome prediction prior to thrombectomy of the posterior circulation with machine learning.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  4. Article
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

8 authors at 3 institutions in 1 country.

Ludger FeyenDepartment of Diagnostic and Interventional Radiology, Helios Klinikum Krefeld, Lutherplatz 40, 47805, Krefeld, Germany. ludger.feyen@helios-gesundheit.de.ORCID http://orcid.org/0000-0002-8887-0275
Marcus KatohDepartment of Diagnostic and Interventional Radiology, Helios Klinikum Krefeld, Lutherplatz 40, 47805, Krefeld, Germany.
Patrick HaageFaculty of Health, School of Medicine, University Witten/Herdecke, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Nico MünnichFaculty of Health, School of Medicine, University Witten/Herdecke, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Martin WeinzierlDepartment of Neurosurgery, Helios Klinikum Krefeld, Lutherplatz 40, 47805, Krefeld, Germany.
Christian BlockhausFaculty of Health, School of Medicine, University Witten/Herdecke, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Stefan RohdeFaculty of Health, School of Medicine, University Witten/Herdecke, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Helge C KniepDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Witten/Herdecke University · DEHelios Klinikum Krefeld · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhether patients presenting with mild stroke (NIHSS at admission < 6) should be treated with mechanical thrombectomy (MT) is the subject of an ongoing debate. This retrospective study based on large-scale clinical data aims to identify factors associated with favorable outcome (FO) in patients with mild stroke.

methodsA total of 761 patients with mild stroke enrolled between 1 January 2020 and 31 December 2020 in the Quality Registry of the German Society for Neuroradiology were analyzed. The FO was defined as stable or improved NIHSS at discharge vs. admission. Descriptive statistics and multivariable logistic regression analyses were performed to identify factors associated with FO. Furthermore, a subgroup analysis of mild stroke based on distal vessel occlusion was conducted.

resultsIn this study 610 patients had FO with a median NIHSS at discharge of 1 (interquartile range, IQR, 0-2) and 151 had an unfavorable outcome (UO) with median NIHSS at discharge of 10 (IQR 13). Patients with FO had a slightly higher NIHSS at admission (4 vs. 3, p < 0.001), lower mTICI 0 (2.7% vs. 14.2%, p < 0.001), higher mTICI 3 (61.3% vs. 34.5%, p < 0.001) and a lower number of passes (1 vs. 2, p < 0.001). No statistically significant difference was observed for MT-related adverse events. Multivariable logistic regression suggested that NIHSS at admission (adjusted odds ratio (aOR) = 1.28, 95% confidence interval (CI) = 1.10-1.48), mTICI 2b (aOR = 5.44, CI = 2.06-15.03), mTICI 2c (aOR = 10.81, CI = 3.65-34.07) and mTICI 3 (aOR = 11.56, CI = 4.49-31.10) as well as number of passes (aOR 0.76, CI = 0.66-0.88) were significantly associated with FO. No MT-related adverse events were observed for distal vessel occlusions.

conclusionThe FO in patients with mild stroke undergoing MT was associated with successful recanalization. No significant differences between patients with FO and UO were found for MT-related adverse events, suggesting that MT complications have no significant effects on the outcome of these patients. MT might improve the prognosis also in patients with mild stroke based on distal vessel occlusions without significantly increasing the risk of adverse events.

Indexed as

Brain IschemiaStrokeHumansRegistriesRetrospective StudiesThrombectomyTreatment OutcomeAnterior circulationDistal vessel occlusionPosterior circulationReperfusionStroke

Identifiers

PMID36745214
PMCPMC10449653
OpenAlexW4319294141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.