Evidence map›Paper›PMID 19953234›Full record

ReviewNeuroradiology2010

Computed tomography in acute ischemic stroke.

Karl-Olof Lövblad, Alison E Baird

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Time to Refocus the Target in Stroke Therapy Again?AJNR. American journal of neuroradiology · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Neuroimaging of the vulnerable plaque.Current vascular pharmacology · 2015
    Review
  14. Article
  15. Article
  16. A promising method of enhancement for early detection of ischemic stroke.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2012
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Karl-Olof LövbladDepartment of Neuroradiology, Department of Imaging and Medical Informatics, HUG-Geneva University Hospital, Geneva University Medical School, 24 Micheli-du-Crest, 1211, Geneva, Switzerland. karl-olof.lovblad@hcuge.ch
Alison E Baird

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke remains the third most important cause of mortality in industrialized countries; this has prompted research for improvements in both diagnostic and therapeutic strategies for patients with signs of acute cerebral ischemia. Over the last decade, there has been a parallel in progress in techniques in both diagnostic and therapeutic options. While previously only used for excluding hemorrhage, imaging now has the possibility to detect ischemia, vascular occlusion, as well as detect tissue at risk in one setting. It should also allow to monitor treatment and predict/exclude therapeutic complications. Parallel to advances in magnetic resonance imaging of stroke, computed tomography has improved immensely over the last decade due to the development of CT scanners that are faster and that allow to acquire studies such as CT perfusion or CT angiography in a reliable way. CT can detect many signs that might help us detect impending signs of massive infarction, but we still lack the experience to use these alone to prevent a patient from benefitting from possible therapy.

Indexed as

Acute DiseaseBrainBrain IschemiaCerebral AngiographyHumansStrokeTomography, X-Ray Computed

Identifiers

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.