Evidence map›Paper›PMID 38965115›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

Effect of intravenous thrombolysis before endovascular therapy on outcomes in acute ischemic stroke with large core: a systematic review and meta-analysis.

Jiali Liu, Jialiang Wang, Yujie Wang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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

3 authors.

Jiali LiuDepartment of Neurology, People's Hospital of Liaoning Province, Shenyang, P. R. of China.
Jialiang WangDepartment of Neurology, People's Hospital of Liaoning Province, Shenyang, P. R. of China.
Yujie WangDepartment of Neurology, People's Hospital of Liaoning Province, Shenyang, P. R. of China. wangyujie196508@163.com.ORCID http://orcid.org/0000-0001-7550-0059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effect of intravenous thrombolysis (IVT) before endovascular therapy (EVT) on outcomes in acute ischemic stroke of large core.

methodsThe studies comparing functional outcomes after EVT with and without IVT were systematically searched up to October 10th, 2023. Odds ratio (OR) was pooled using random effects model. Subgroup analysis was performed stratified by study design, country or region, study date, imaging methods and time window.

resultsThirteen studies were included, enrolling 1717 patients. The pooled rate of functional independence in patients receiving IVT + EVT was 26% (95% CI 20% - 33%), significantly higher than 18% (95% CI 15% - 20%) in those receiving EVT alone (OR 1.55, 95% CI 1.13-2.12, P = 0.006; I²= 23.9%). In subgroup analysis, prior IVT increased the probability of functional independence in retrospective studies (OR 1.97, 95% 1.47-2.63, P < 0.00001; I

conclusionsIVT before EVT might increase the probability of functional independence in non-Asian patients with large ischemic core. The results provided clinicians with additional information on selecting eligible patients for EVT.

Indexed as

Endovascular ProceduresFibrinolytic AgentsIschemic StrokeThrombolytic TherapyAdministration, IntravenousHumansTreatment OutcomeFibrinolytic AgentsAcute ischemic strokeEndovascular therapyFunctional outcomesIntravenous thrombolysisLarge ischemic core

Identifiers

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Registered trials

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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.