Evidence map›Paper›PMID 37699726›Full record

ArticleStroke and vascular neurology2024

Rationale and design of the GOLDEN BRIDGE II: a cluster-randomised multifaceted intervention trial of an artificial intelligence-based cerebrovascular disease clinical decision support system to improve stroke outcomes and care quality in China.

Zixiao Li, Xinmiao Zhang, Lingling Ding, Jing Jing, Hong-Qiu Gu, Yong Jiang, Xia Meng, Chunying Du, Chunjuan Wang, Meng Wang and 14 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Stroke and vascular neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04524624 (A Multi-centre, Cluster Randomized Controlled Trial of an Artificial Intelligence-Based Clinical Decision Support System for Integrated Management of Patients With Acute Ischemic Stroke), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT04524624 naunknown statusnot on this map

A Multi-centre, Cluster Randomized Controlled Trial of an Artificial Intelligence-Based Clinical Decision Support System for Integrated Management of Patients With Acute Ischemic Stroke: The GOLDEN BRIDGE II Trial

TypeinterventionalSponsorBeijing Tiantan HospitalRan2020 to 2023Enrolled21,689ConditionsStrokeArmsAI-based CDSS
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. [Research status and future strategies for refractory inner ear disease].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Review
  5. Neurointerventional Advances in 2023.Stroke (Hoboken, N.J.) · 2024
    Article
  6. 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

24 authors at 6 institutions in 2 countries.

Zixiao Li *Department of Neurology, Beijing Tiantan Hospital, Beijing, China yongjunwang@ncrcnd.org.cn lizixiao2008@hotmail.com.ORCID 0000-0002-4713-5418
Xinmiao Zhang *Department of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0003-4571-6363
Lingling Ding *Department of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0003-0114-8157
Jing Jing *Department of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0001-9822-5758
Hong-Qiu GuChina National Clinical Research Center for Neurological Diseases, Beijing, China.ORCID 0000-0003-1608-1856
Yong JiangChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Chunying DuChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Chunjuan WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Meng WangChina National Clinical Research Center for Neurological Diseases, Beijing, China.ORCID 0000-0001-9678-4855
Man XuHanalytics Artificial Intelligence Research Centre for Neurological Disorders, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Yanxu ZhangHanalytics Artificial Intelligence Research Centre for Neurological Disorders, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Meera HuHanalytics Artificial Intelligence Research Centre for Neurological Disorders, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Hao LiChina National Clinical Research Center for Neurological Diseases, Beijing, China.ORCID 0000-0002-8591-4105
Xiping GongDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Kehui DongDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0001-8345-5147
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0002-3267-0039
Liping LiuDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0003-2943-055X
Ying XianDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Eric PetersonDivision of Cardiology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Gregg C FonarowCardiology, Ronald Reagan UCLA Medical Center, Los Angeles, California, USA.
Lee H SchwammDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China yongjunwang@ncrcnd.org.cn lizixiao2008@hotmail.com.ORCID 0000-0002-9976-2341
Beijing Tian Tan Hospital · CNNational Clinical Research Center for Digestive Diseases · CNCapital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNRonald Reagan UCLA Medical Center · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the swift advancements in artificial intelligence (AI), the utilisation of AI-based clinical decision support systems (AI-CDSSs) has become increasingly prevalent in the medical domain, particularly in the management of cerebrovascular disease.

aimsTo describe the design, rationale and methods of a cluster-randomised multifaceted intervention trial aimed at investigating the effect of cerebrovascular disease AI-CDSS on the clinical outcomes of patients who had a stroke and on stroke care quality.

designThe GOLDEN BRIDGE II trial is a multicentre, open-label, cluster-randomised multifaceted intervention study. A total of 80 hospitals in China were randomly assigned to the AI-CDSS intervention group or the control group. For eligible participants with acute ischaemic stroke in the AI-CDSS intervention group, cerebrovascular disease AI-CDSS will provide AI-assisted imaging analysis, auxiliary stroke aetiology and pathogenesis analysis, and guideline-based treatment recommendations. In the control group, patients will receive the usual care. The primary outcome is the occurrence of new vascular events (composite of ischaemic stroke, haemorrhagic stroke, myocardial infarction or vascular death) at 3 months after stroke onset. The sample size was estimated to be 21 689 with a 26% relative reduction in the incidence of new composite vascular events at 3 months by using multiple quality-improving interventions provided by AI-CDSS. All analyses will be performed according to the intention-to-treat principle and accounted for clustering using generalised estimating equations.

conclusionsOnce the effectiveness is verified, the cerebrovascular disease AI-CDSS could improve stroke care and outcomes in China. TRIAL REGISTRATION NUMBER: NCT04524624.

Indexed as

Artificial IntelligenceDecision Support Systems, ClinicalIschemic StrokeQuality Indicators, Health CareChinaClinical Decision-MakingFemaleHumansMaleMulticenter Studies as TopicQuality ImprovementRandomized Controlled Trials as TopicTime FactorsTreatment OutcomeStroke

Identifiers

PMID37699726
PMCPMC11791641
OpenAlexW4386629742

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.