Evidence map›Paper›PMID 22876978›Full record

ArticleExperimental & translational stroke medicine2012

Photochemically induced ischemic stroke in rats.

Antje Schmidt, Maike Hoppen, Jan-Kolja Strecker, Kai Diederich, Wolf-Rüdiger Schäbitz, Matthias Schilling, Jens Minnerup

Abstract read
In one paragraph

Article in Experimental & translational stroke medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Mouse models to study von Willebrand factor in thrombosis: a scoping review.Research and practice in thrombosis and haemostasis · 2026
    Article
  2. Hemodynamic and Electrophysiological Progression of the Rose Bengal Photothrombotic Stroke Model in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  13. Neurophotonics · 2020
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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

7 authors.

Antje SchmidtDepartment of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.
Maike HoppenDepartment of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.
Jan-Kolja StreckerDepartment of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.
Kai DiederichDepartment of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.
Wolf-Rüdiger SchäbitzEVK Bielefeld, Bethel, Neurologische Klinik, Burgsteig 13, 33617, Bielefeld, Germany.
Matthias Schilling *Department of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.
Jens Minnerup *Department of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Münster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhotothrombosis was introduced as a model of ischemic stroke by Watson et al. in 1985. In the present paper, we describe a protocol to induce photothrombotic infarcts in rats.

findingsThe photosensitive dye Bengal Rose is intravenously administered and a laser beam is stereotactically positioned onto the skull. Illumination through the intact skull leads to local activation of Bengal Rose, which results in free radical formation, disturbance of endothelial function and thrombus formation in illuminated small cortical vessels.

conclusionsPhotochemically induced infarcts cause long-term sensorimotor deficits, allow long-term survival and are particularly suitable to assess the effectiveness of neuroregenerative therapies in chronic stroke studies.

Identifiers

PMID22876978
PMCPMC3444343

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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.