Evidence map›Paper›PMID 37404498›Full record

ArticleSurgical neurology international2023

Michihide Kajita, Kiyoyuki Yanaka, Sho Hanai, Hitoshi Aiyama, Nobuyuki Takahashi, Shinji Saiki, Eiichi Ishikawa

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Surgical neurology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Letter to the Editor Response.Journal of neurosurgery. Case lessons · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Surgical neurology international · 2026
    Article
  8. Article
  9. Article
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  11. 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

7 authors at 2 institutions in 1 country.

Michihide KajitaDepartment of Neurosurgery, Tsukuba Memorial Hospital, Tsukuba, Ibaraki, Japan.
Kiyoyuki YanakaDepartment of Neurosurgery, Tsukuba Memorial Hospital, Tsukuba, Ibaraki, Japan.
Sho HanaiDepartment of Neurosurgery, Tsukuba Memorial Hospital, Tsukuba, Ibaraki, Japan.
Hitoshi AiyamaDepartment of Neurosurgery, Tsukuba Memorial Hospital, Tsukuba, Ibaraki, Japan.
Nobuyuki TakahashiDepartment of Radiology, Tsukuba Memorial Hospital, Tsukuba, Ibaraki, Japan.
Shinji SaikiDepartment of Neurology, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Eiichi IshikawaDepartment of Neurosurgery, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tsukuba Memorial Hospital · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Twig-like middle cerebral artery (T-MCA) is a rare vascular abnormality characterized by the replacement of the M1 segment of the middle cerebral artery (MCA) with a plexiform arterial network of small vessels. T-MCA is generally regarded as an embryological persistence. Conversely, T-MCA may also be a secondary sequela but no reports of cases of Case Description: A 41-year-old woman was referred to our hospital from a nearby clinic because of transient left hemiparesis. Magnetic resonance (MR) imaging revealed mild stenosis of the bilateral MCAs. The patient then underwent MR imaging follow-ups once a year. MR imaging at the age of 53 showed a right M1 occlusion. Cerebral angiography revealed a right M1 occlusion and formation of a plexiform network consistent with the occlusion site, leading to the diagnosis of Conclusion: This is the first case report describing possible

Indexed as

AnomalyAutoimmune diseaseEtiologyMiddle cerebral arteryTwig

Identifiers

PMID37404498
PMCPMC10316151
OpenAlexW4379144858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.