Evidence map›Paper›PMID 40068656›Full record

ReviewCerebrovascular diseases extra2025

Stroke from Infection.

Aurauma Chutinet, Chutibhorn Charnnarong, Nijasri C Suwanwela

Abstract readReview
In one paragraph

Review in Cerebrovascular diseases extra, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  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

3 authors.

Aurauma ChutinetChulalongkorn Stroke Center, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
Chutibhorn CharnnarongFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Nijasri C SuwanwelaChulalongkorn Stroke Center, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke related to infections represents a less common but significant cause, particularly in low- and middle-income countries. This review examines the pathophysiology of stroke from infections, involving both direct and indirect mechanisms. SUMMARY: Bacterial infections such as tuberculous meningitis and infective endocarditis can directly cause strokes through local inflammation, arteritis, and septic embolism. Viral infections like Varicella zoster virus and HIV increase stroke risk through chronic immune activation, vasculopathy, and endothelial dysfunction. Parasitic infections, particularly malaria and neurocysticercosis, can cause strokes via vascular occlusion and inflammatory responses. Fungal infections like aspergillosis and mucormycosis can lead to strokes through vasculitis and direct invasion of the CNS. KEY MESSAGES: Understanding the mechanisms by which various infectious agents contribute to stroke pathogenesis is essential for developing targeted therapeutic strategies and improving patient outcomes. Further research is needed to establish effective prevention and treatment for infection-related strokes, especially in low- and middle-income countries.

Indexed as

Bacterial InfectionsStrokeVirus DiseasesHost-Pathogen InteractionsHumansPrognosisRisk AssessmentRisk FactorsBacterial meningitisCOVID-19Fungal infectionsHuman immunodeficiency virusInfectionNeurocysticercosisParasitic infectionsPathophysiologyStrokeTuberculous meningitisVaricella zoster virusViral infections

Identifiers

PMID40068656
PMCPMC12237291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.