Evidence map›Paper›PMID 38787842›Full record

ArticlePloS one2024

Water content for clot composition prediction in acute ischemic stroke.

Kenichi Sakuta, Taichiro Imahori, Amir Molaie, Mahsa Ghovvati, Neal Rao, Satoshi Tateshima, Naoki Kaneko

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Kenichi SakutaDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.ORCID 0000-0002-7125-7482
Taichiro ImahoriDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Amir MolaieDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.ORCID 0000-0001-7184-8613
Mahsa GhovvatiDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Neal RaoDepartment of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Satoshi TateshimaDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.
Naoki KanekoDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America.ORCID 0000-0002-3579-7908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical thrombectomy (MT) has become the gold standard care for treating acute ischemic stroke (AIS) due to large vessel occlusion. Emerging evidence suggests that understanding the composition of clots prior to intervention could be useful for the selection of neuroendovascular techniques, potentially improving the efficacy of treatments. However, current imaging modalities lack the ability to distinguish clot composition accurately and reliably. Since water content can influence signal intensity on CT and MRI scans, its assessment may provide indirect clues about clot composition. This study aimed to elucidate the correlation between water content and clot composition using human clots retrieved from stroke patients and experimentally generated ovine clots. MATERIALS AND

methodsThis study involved an analysis of ten clots retrieved from patients with AIS undergoing MT. Additionally, we created ten red blood cells (RBC)-rich and ten fibrin-rich ovine blood clots, which were placed in a human intracranial vascular model under realistic flow conditions. The water content and compositions of these clots were evaluated, and linear regression analyses were performed to determine the relationship between clot composition and water content.

resultsThe regression analysis in human stroke clots revealed a significant negative association between RBC concentration and water content. We also observed a positive correlation between water content and both fibrin and platelets in ovine blood clots. Conclusion.

Indexed as

Ischemic StrokeWaterAnimalsBrain IschemiaErythrocytesFemaleFibrinHumansMagnetic Resonance ImagingMaleSheepThrombectomyThrombosisFibrinWater

Identifiers

PMID38787842
PMCPMC11125472

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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.