Evidence map›Paper›PMID 40955116›Full record

ArticleJournal of stroke2025

Varying Rates of Hospital Reperfusion Therapy for Stroke: Insights From Analysis of National Stroke Audit Data.

Jong-Moo Park, Hong-Kyun Park, Seong-Eun Kim, Yong-Jin Cho, Jun Yup Kim, Beom Joon Kim, Kwang-Yeol Park, Kyung Bok Lee, Soo Joo Lee, Hyunji Oh and 8 more

Abstract read
In one paragraph

Article in Journal of stroke, 2025. 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

18 authors.

Jong-Moo ParkDepartment of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea.
Hong-Kyun ParkDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea.
Seong-Eun KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Yong-Jin ChoDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea.
Jun Yup KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Beom Joon KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Kwang-Yeol ParkDepartment of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
Kyung Bok LeeDepartment of Neurology, Soonchunhyang University Hospital, Seoul, Korea.
Soo Joo LeeDepartment of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea.
Hyunji OhDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Jonguk KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Byung Chul LeeHealth Insurance Review and Assessment Service, Wonju, Korea.
In Ok BaeHealth Insurance Review and Assessment Service, Wonju, Korea.
Gui Ok KimHealth Insurance Review and Assessment Service, Wonju, Korea.
Ji Sung LeeClinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Juneyoung LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Korea.
Philip B GorelickDavee Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Hee-Joon BaeDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

Funding

Research of Korea Centers for Disease Control and Prevention 2023-ER1006-00
6 · The paper itself

Abstract

background and purposeDisparities in stroke care exist globally. While reperfusion therapy is a standard treatment for acute ischemic stroke, variations in its implementation may exist across hospitals.

methodsWe analyzed data from 75,870 patients admitted to 247 acute stroke care hospitals across South Korea, sourced from the Acute Stroke Quality Assessment Program (2013-2018) by the Health Insurance Review and Assessment Service. The primary metric of interest was the hospital reperfusion therapy rate (RTR)-the proportion of patients who received intravenous thrombolysis (IVT) and/or endovascular thrombectomy (EVT) among those potentially eligible for these therapies and had onset-to-arrival times ≤6 hours and initial National Institutes of Health Stroke Scale scores ≥4. We analyzed correlations between hospital RTRs, adjusted for age, sex, onset-to-arrival time, initial stroke severity, and hospital characteristics.

resultsOf the 10,513 patients eligible for reperfusion therapy, the overall RTR was 52.9%. The average hospital RTR was 34.8% with a median (interquartile range) of 37.5% (9.8-56.2). Hospitals with a greater number of beds and higher monthly stroke volume exhibited higher hospital RTRs. Factors such as monthly stroke volume, stroke unit availability, and monthly IVT and EVT case volume independently influenced hospital RTRs. Notably, hospitals with higher RTRs demonstrated reduced 1-year mortality, irrespective of stroke volume.

conclusionIn a large national sample of acute stroke care hospitals, there was significant variability in hospital RTRs, with those having higher stroke volumes typically showing higher hospital RTRs. Additionally, an inverse correlation between hospital RTRs and 1-year mortality highlights the clinical importance of improving RTRs.

Indexed as

Cerebrovascular diseaseHealth services researchInfarctionOutcome researchStroke

Identifiers

PMID40955116
PMCPMC12527578

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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.