Evidence map›Paper›PMID 40877038›Full record

ArticleJournal of neurointerventional surgery2026

Integrated drip-and-ship improves stroke transfer efficiency and outcomes: a comparison with traditional drip-and-ship and mothership models.

Chun-Min Wang, Che-Wei Lin, Yu-Ming Chang, Ray-Chang Tzeng, Ming-Hsiu Wu, Si-Chon Vong, Tsang-Shan Chen, Shang-Te Wu, Yu-Tai Tsai, Yi-Ting Fang and 10 more

Abstract readComparative Study
In one paragraph

Article in Journal of neurointerventional surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

20 authors.

Chun-Min WangDepartment of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Che-Wei LinDepartment of Biomedical Engineering, National Cheng Kung University, Tainan City, Taiwan.
Yu-Ming ChangDepartment of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID http://orcid.org/0000-0002-0210-5928
Ray-Chang TzengDepartment of Neurology, Tainan Municipal Hospital, Tainan City, Taiwan.
Ming-Hsiu WuDepartment of Neurology, Chi Mei Hospital Liou Ying, Liouying District, Taiwan.
Si-Chon VongDepartment of Emergency Medicine, Chi Mei Hospital Liou Ying, Liouying District, Taiwan.
Tsang-Shan ChenDepartment of Neurology, Tainan Sin-Lau Hospital, Tainan City, Taiwan.
Shang-Te WuDepartment of Neurology, Kuo General Hospital, Tainan City, Taiwan.
Yu-Tai TsaiDepartment of Neurology, St Martin De Porres Hospital, Chiayi, Taiwan.
Yi-Ting FangDepartment of Neurology, Xinhua Branch, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan.
Chuang-Chou YangDepartment of Neurology, Madou Sin-Lau Hospital, the Presbyterian Church, Tainan, Taiwan.
Yu-Hsiang SuDepartment of Neurology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan.
Meng-Hua HuangDepartment of Internal Medicine, Kaohsiung Veterans General Hospital Tainan Branch, Yongkang District, Taiwan.
Mu-Han WuDepartment of Neurology, Tainan Hospital Ministry of Health and Welfare, Tainan City, Taiwan.
Feng-Yuan ChuDepartment of Emergency Medicine, Chi Mei Hospital Chiali, Tainan City, Taiwan.
Yen-Chu HuangDepartment of Neurology, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi, Taiwan.
Kuan-Hung LinDepartment of Neurology, Chi Mei Medical Center, Yongkang District, Taiwan.
Che-Chao ChangDivision of Neurosurgery, Department of Surgery, Tainan Municipal An-Nan Hospital-China Medical University, Tainan, Taiwan.
Sheng-Hsiang LinInstitute of Clinical Medicine, National Cheng Kung University College of Medicine, Tainan City, Taiwan.
Pi-Shan SungDepartment of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan pishansung@gmail.com.ORCID http://orcid.org/0000-0003-2505-7583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile endovascular thrombectomy (EVT) has revolutionized the treatment of acute large vessel occlusions, the appropriate patient transfer paradigm remains controversial. This study compares outcomes of three transfer models in a stroke network: mothership (MS), traditional drip-and-ship (DS), and an integrated DS model using a novel transfer system (TS).

methodsWe implemented a novel TS to streamline communication and coordination between primary and comprehensive stroke centers. We analyzed 1063 patients with suspected large vessel occlusion across three groups: MS (n=814), conventional DS without TS (DS TS (-), n=185), and DS with TS (DS TS (+), n=64). Primary outcomes included treatment time metrics, EVT rates, and functional outcomes.

resultsDS TS (+) showed improved time metrics, with onset-to-CT angiography (CTA) times comparable to MS (232 vs 255.5 min) and significantly faster than DS TS (-) (305 min). It also achieved the highest rates of both intravenous thrombolysis (51.56%) and EVT (48.44%). Among EVT patients, the DS TS (+) group had the shortest door-to-puncture time (98.0 min vs MS 132.0 min and DS TS (-) 127.0 min, P<0.001) and a shorter onset-to-puncture time compared with the DS TS (-) group. DS TS (+) also showed a promising trend towards superior functional outcomes at 3 months (modified Rankin Scale score 0-2: 54.84% vs MS 39.10% vs DS TS (-) 36.36%).

conclusionThis study shows that an integrated DS model using a structured TS can achieve outcomes comparable to the MS model. Enhancing transfer efficiency through innovative solutions tailored to the regional infrastructure may serve as a viable alternative alongside the MS model.

Indexed as

Endovascular ProceduresPatient TransferStrokeThrombectomyAgedAged, 80 and overFemaleHumansMaleMiddle AgedTreatment OutcomeStrokeThrombectomy

Identifiers

PMID40877038
PMCPMC13311971

What OpenQuestion holds

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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.