Evidence map›Paper›PMID 24791908›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2014

Acute cerebral infarction in watershed distribution in a patient with hypereosinophilic syndrome without cardiac lesion.

Xiaoli Wu, Yang Guo, Xiaoping Tan

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2014. 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
0.3field-weighted citation impact, top 40% 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. Literature reviews of stroke with hypereosinophilic syndrome.International journal of cardiology. Heart & vasculature · 2021
    Review
  2. Article
  3. Article
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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

3 authors at 1 institution in 1 country.

Xiaoli WuDepartment of Neurology, Shengjing Hospital of China Medical University, Shenyang, 110021, China, 77kwuxiaoli@163.com.
Yang Guo
Xiaoping Tan
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We here in describe a case of hypereosinophilic syndrome (HES) with acute cerebral infarction in a watershed distribution with lesions of the carotid artery but no damage to the endocardium or myocardium. A 62-year-old Chinese man complained of left-sided hemiparesis. Brain MR showed multiple areas of acute ischemia. The eosinophil count was 4.84 × 10(9)/L, or 41.7 % of all white blood cells. Doppler ultrasound showed multiple medium-high echo plaques in the bilateral carotid bifurcation with reduction in diameter of 10-15 %. Transthoracic echocardiography was normal. A short course of glucocorticoids and aspirin were administered to the patient, and he was discharged with significant improvement of his neurological symptoms and eosinophil count. The patient refused to take prednisone thereafter; however, 6 months later, his eosinophil count was 1.57 × 10(9)/L, or 15.3 % of all white blood cells. Transthoracic echocardiography continued to be normal, but vascular ultrasound demonstrated many bilateral carotid low-medium echo plaques. This case describes a patient HES with acute cerebral infarction in a watershed distribution with lesions of the carotid artery but no cardiac damage. HES should be considered to be a cause of multiple cerebral infarctions.

Indexed as

Acute DiseaseCarotid ArteriesCerebral InfarctionHumansHypereosinophilic SyndromeMaleMiddle Aged

Identifiers

PMID24791908
OpenAlexW2044954478

What OpenQuestion holds

Textmetadata
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.