Evidence map›Paper›PMID 31001598›Full record

ArticleBrain circulation

Early signs of middle cerebral artery infarction on multidetector computed tomography: Review of 20 cases.

Sultan Alshoabi, Ramzi Alnajmani, Mohamed Shamsuddin, Moawia Gameraddin

Open access · diamondAbstract read
In one paragraph

Article in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Sultan AlshoabiDepartment of Diagnostic Radiologic Technology, College of Applied Medical Sciences, Taibah University, Almadinah Almunawarah, Medina, Saudi Arabia.
Ramzi AlnajmaniDepartment of Radiology and Medical Imaging, 22 Mayo Hospital, Hodeidah, Republic of Yemen.
Mohamed ShamsuddinDepartment of Paediatric, 22 Mayo Hospital, Hodeidah, Republic of Yemen.
Moawia GameraddinDepartment of Diagnostic Radiologic Technology, College of Applied Medical Sciences, Taibah University, Almadinah Almunawarah, Medina, Saudi Arabia.
Taibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study intended to assess the occurrence of early signs of middle cerebral artery (MCA) on multidetector computed tomography (MDCT) in correlation with duration of the clinical features of stroke. PATIENTS AND

methodsThis retrospective study analyzed the electronic records of 20 patients with MCA infarction. The detected signs studied according to the onset of the clinical features of stroke to the time of CT imaging.

resultsOut of 20 patients with MCA infarction included in this study, the results revealed a significant relationship between the presence of insular ribbon sign and/or subtle hypodensity and hyperacute infarction (

conclusionMDCT can detect nearly half of MCA infarctions in the first 6 h. Insular ribbon sign and subtle hypodensity were the most significant findings in the first 6 h of stroke. Hypodense area was a significant sign after 6 h. Diabetes mellitus and ischemic heart disease were the most common risk factors. Hemiparesis was the most common clinical finding in MCA infarction.

Indexed as

Early signsmiddle cerebral artery infarctionmultidetector computed tomography

Identifiers

PMID31001598
PMCPMC6458774
OpenAlexW2924383119

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.