Evidence map›Paper›PMID 41585909›Full record

ArticleStroke (Hoboken, N.J.)2023

Reduced Workflow Times for Reperfusion Therapy After Acute Ischemic Stroke Using a Visual Task Management Application.

Shoji Matsumoto, Ichiro Nakahara, Ayuko Yasuda, Akira Ishii, Michiya Kubo, Kentaro Yamada, Masakazu Okawa, Hidehisa Nishi, Toshiyasu Miura, Daisuke Koike and 13 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2023. 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. Article
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

23 authors.

Shoji MatsumotoDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Ichiro NakaharaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Ayuko YasudaDepartment of Quality and Safety in Healthcare Fujita Health University School of Medicine Toyoake Japan.
Akira IshiiDepartment of Neurosurgery Kyoto University Graduate School of Medicine Kyoto Japan.
Michiya KuboDepartment of Neurosurgery Saiseikai Toyama Hospital Toyama Japan.
Kentaro YamadaDepartment of Neurology Nagoya City University East Medical Center Nagoya Japan.
Masakazu OkawaDepartment of Neurosurgery Kyoto University Graduate School of Medicine Kyoto Japan.
Hidehisa NishiDepartment of Neurosurgery Kyoto University Graduate School of Medicine Kyoto Japan.
Toshiyasu MiuraDepartment of Neurology Nagoya City University East Medical Center Nagoya Japan.
Daisuke KoikeDepartment of Quality and Safety in Healthcare Fujita Health University School of Medicine Toyoake Japan.
Shinpei OkitaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Michiru AokiDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Koji TanakaDepartment of Neurology Neurological Institute Graduate School of Medical Sciences Kyushu University Fukuoka Japan.
Yoshio SuyamaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Jun MoriokaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Akiko HasebeDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Jun TanabeDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Kenichiro SuyamaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Sadayoshi WatanabeDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Kiyonori KuwaharaDepartment of Comprehensive Strokology Fujita Health University School of Medicine Toyoake Japan.
Takuma IshiharaInnovative and Clinical Research Promotion Center Gifu University Hospital Gifu Japan.
Hiroshi KoyamaGraduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan.
Jun-Ichi KiraTranslational Neuroscience Center Graduate School of Medicine and School of Pharmacy at Fukuoka International University of Health and Welfare Okawa Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reperfusion therapy for acute ischemic stroke efficacy is highly time dependent; therefore, stroke centers are required to further reduce the delays from hospital arrival to treatment efficiently. We developed a visual task management application, Task Calculation Stroke (Task Calc. Stroke: TCS), to facilitate hospital acute ischemic stroke treatment by supporting parallel staff task completion. We evaluated TCS for the reduction of reperfusion therapy delays and improvement of clinical outcomes. Methods: In this multicenter cohort study, patients were directly admitted to 4 comprehensive stroke centers in Japan and given intravenous tissue plasminogen activator and/or mechanical thrombectomy from June 2018 to December 2020. The research team visited each facility and instructed the staff on TCS use for acute ischemic stroke (training stage), after which the staff used TCS independently (TCS stage). We then compared door-to-needle time for intravenous tissue plasminogen activator, door-to-puncture time for mechanical thrombectomy, and clinical outcomes at discharge according to the modified Rankin Scale among patients treated before training (original stage), during the training stage, or the TCS stage. Results: During the study period, 316 patients with acute ischemic stroke received reperfusion therapy; of these, 246 received intravenous tissue plasminogen activator and 162 mechanical thrombectomy (including 92 receiving both the treatments). The mean door-to-needle time was significantly reduced from 58.0 minutes in the original stage to 54.6 minutes in the training stage ( Conclusion: In this study, TCS application could reduce workflow time for reperfusion therapy and might have led to improved clinical outcomes.

Indexed as

acute ischemic strokereperfusion therapyvisual task management application

Identifiers

PMID41585909
PMCPMC12778621

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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.