Evidence map›Paper›PMID 38070093›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

The Photothrombotic Model of Ischemic Stroke.

David E Wong Zhang, Shenpeng R Zhang, Hyun Ah Kim, Christopher G Sobey, T Michael De Silva

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

David E Wong ZhangCentre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia.
Shenpeng R ZhangCentre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia.
Hyun Ah KimCentre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia.
Christopher G SobeyCentre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia.
T Michael De SilvaCentre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, Australia. t.desilva@latrobe.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is a major cause of morbidity worldwide; yet, there is a lack of treatment options to address post-stroke cognitive and motor impairment, thus there is an urgency for developing neuroprotective and restorative therapies. Much of our fundamental understanding of stroke pathology has been derived from animal models. The photothrombotic model of ischemic stroke is commonly used to study cellular and molecular mechanisms of neurodegeneration, test functional/cognitive outcomes, identify important biomarkers, and assess the effectiveness of novel therapies. It allows for the precise targeting of an infarct to a specific region of the brain, has a low mortality rate, low seizure rate, and is relatively easy to perform. This chapter outlines materials and methods for the photothrombotic model of ischemic stroke in mice, its limitations, and some considerations needed when using this model.

Indexed as

Brain IschemiaIschemic StrokeStrokeAnimalsBrainDisease Models, AnimalMiceModels, AnimalBrain ischemiaCognitionMotor cortexMotor impairmentPrefrontal cortexRodents

Identifiers

PMID38070093

What OpenQuestion holds

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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.