Evidence map›Paper›PMID 36123959›Full record

ArticleJournal of Korean medical science2022

Annual Case Volume and One-Year Mortality for Endovascular Treatment in Acute Ischemic Stroke.

Jun Yup Kim, Jihoon Kang, Beom Joon Kim, Seong-Eun Kim, Do Yeon Kim, Keon-Joo Lee, Hong-Kyun Park, Yong-Jin Cho, Jong-Moo Park, Kyung Bok Lee and 9 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Annual Endovascular Thrombectomy Case Volume and Thrombectomy-capable Hospitals of Korea in Acute Stroke Care.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
    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

19 authors.

Jun Yup KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0003-4764-5714
Jihoon KangDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0001-5715-6610
Beom Joon KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0002-2719-3012
Seong-Eun KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0002-6273-9308
Do Yeon KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0002-0569-3710
Keon-Joo LeeDepartment of Neurology, Korea University Guro Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-6571-7091
Hong-Kyun ParkDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0002-8120-2469
Yong-Jin ChoDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0002-7843-1148
Jong-Moo ParkDepartment of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea.ORCID https://orcid.org/0000-0002-4199-3024
Kyung Bok LeeDepartment of Neurology, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2663-7483
Jae-Kwan ChaDepartment of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-1049-5196
Ji Sung LeeClinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8194-3462
Juneyoung LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8073-9304
Ki Hwa YangHealth Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-0134-3059
Ock Ran HongHealth Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-0669-2012
Ji Hyeon ShinHealth Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0001-8915-6885
Jung Hyun ParkDepartment of Neurology, Gyeonggi Provincial Medical Center Icheon Hospital, Icheon, Korea.ORCID https://orcid.org/0000-0002-9784-0430
Philip B GorelickDavee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.ORCID https://orcid.org/0000-0002-1181-614X
Hee-Joon BaeDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea. braindoc@snu.ac.kr.ORCID https://orcid.org/0000-0003-0051-1997

Funding

Korea Centers for Disease Control and Prevention 2020ER620200#
6 · The paper itself

Abstract

backgroundThe association between endovascular treatment (EVT) case volume per hospital and clinical outcomes has been reported, but the exact volume threshold has not been determined. This study aimed to examine the case volume threshold in this context.

methodsNational audit data on the quality of acute stroke care in patients admitted via emergency department, within 7 days of onset, in hospitals that treated ≥ 10 stroke cases during the audit period were analyzed. Ischemic stroke cases treated with EVT during the last three audits (2013, 2014, and 2016) were selected for the analysis. Annual EVT case volume per hospital was estimated and analyzed as a continuous and a categorical variable (in quartiles). The primary outcome measure was 1-year mortality as a surrogate of 3-month functional outcome. As post-hoc sensitivity analysis, replication of the study results was examined using the 2018 audit data.

resultsWe analyzed 1,746 ischemic stroke cases treated with EVT in 120 acute care hospitals. The median annual EVT case volume was 12.0 cases per hospital, and mortality rates at 1 month, 3 months, and 1 year were 12.7%, 16.6%, and 23.3%, respectively. Q3 and Q4 had 33% lower odds of 1-year mortality than Q1. Adjustments were made for predetermined confounders. Annual EVT case volume cut-off value for 1-year mortality was 15 cases per year (

conclusionAnnual EVT case volume was associated with 1-year mortality. The volume threshold per hospital was 15 cases per year.

Indexed as

Brain IschemiaEndovascular ProceduresIschemic StrokeStrokeHumansThrombolytic TherapyAcute StrokeClinical OutcomesEndovascular TreatmentVolume Threshold

Identifiers

PMID36123959
PMCPMC9485065

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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.