Evidence map›Paper›PMID 35347996›Full record

ArticleJournal of the American Heart Association2022

Prehospital-Stroke-Scale Parameterized Hospital Selection Protocol for Suspected Stroke Patients Considering Door-to-Treatment Durations.

Chun-Han Wang, Yu-Chen Chang, Yung Yang, Wen-Chu Chiang, Sung-Chun Tang, Li-Kai Tsai, Chung-Wei Lee, Jiann-Shing Jeng, Matthew Huei-Ming Ma, Ming-Ju Hsieh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. 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
0.5field-weighted citation impact, top 38% of its field
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, 3 citations in OpenAlex.

  1. A clinical activation protocol improves response time to urgent/emergent neurosurgical care in children with brain tumors and intracranial hemorrhage.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    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

11 authors at 2 institutions in 1 country.

Chun-Han WangDepartment of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
Yu-Chen ChangDepartment of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
Yung YangDepartment of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
Wen-Chu ChiangDepartment of Emergency Medicine National Taiwan University Hospital Yun-Lin Branch Yun-Lin County Taiwan.ORCID 0000-0001-8620-7982
Sung-Chun TangStroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.ORCID 0000-0003-3731-5973
Li-Kai TsaiStroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.
Chung-Wei LeeDepartment of Medical Imaging National Taiwan University Hospital Taipei Taiwan.ORCID 0000-0002-3573-2506
Jiann-Shing JengStroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.ORCID 0000-0002-1456-3686
Matthew Huei-Ming MaDepartment of Emergency Medicine National Taiwan University Hospital Yun-Lin Branch Yun-Lin County Taiwan.ORCID 0000-0002-4388-9984
Ming-Ju HsiehDepartment of Emergency Medicine National Taiwan University Hospital Taipei Taiwan.ORCID 0000-0003-3636-6250
Yu-Ching LeeDepartment of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.ORCID 0000-0002-2066-2795
National Taiwan University Hospital · TWNational Tsing Hua University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background To mitigate uncertainty that may arise in the judgment of emergency medical technicians when relying on a prehospital stroke scale at the scene, we propose a hospital selection protocol that considers the uncertainty of a prehospital stroke scale and the actual door-to-treatment durations, and we have developed a web-based system to be used with mobile devices. Methods and Results This hospital selection protocol incorporates real-time, estimated transport time obtained from Google Maps, historical median door-to-treatment duration at hospitals that only provide the standard intravenous thrombolysis treatment, and at hospitals with endovascular thrombectomy for probable large-vessel occlusion cases. We have validated the efficiency of the proposed protocol and compared it with other strategies used by emergency medical technicians when deciding on a receiving hospital. Using the proposed protocol for the triage reduces the time from onset to receiving definitive treatment by nearly 11 minutes. We found that the nearest endovascular thrombectomy-capable hospital from the scene may not be the most ideal if the door-to-treatment durations are discriminative. The results show that, when the tolerable bypass transport threshold and administration time are reduced to 9 minutes and 30.5 minutes, respectively, 228 patients out of 7678 cases, whose receiving hospitals were changed to endovascular thrombectomy-capable hospitals, received definitive treatment in a shorter time. The results of our analysis give recommendations for appropriate allowable bypass transport time for regional planning. Conclusions By applying almost-real value parameters, we have validated a web-based model, which can be universally adapted for optimal, time-saving hospital selection for patients with stroke.

Indexed as

Brain IschemiaEmergency Medical ServicesEndovascular ProceduresStrokeDuration of TherapyHospitalsHumansThrombectomyThrombolytic TherapyTime-to-Treatmentemergency medical servicehospital selection protocollarge vessel occlusionstroke

Identifiers

PMID35347996
PMCPMC9075444
OpenAlexW4221014261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.