Evidence map›Paper›PMID 33902003›Full record

ArticleAging2021

Design and validation of a recognition instrument-the stroke aid for emergency scale-to predict large vessel occlusion stroke.

Baorui Zhang, Xiaochuan Huo, Fei Yuan, Guangrong Song, Lang Liu, Gaoting Ma, Dapeng Mo, Zhongxue Wu, Zhongrong Miao, Aihua Liu

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Aging, 2021. 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. Observational
  3. Review
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

10 authors.

Baorui ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Xiaochuan HuoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Fei YuanBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Guangrong SongBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Lang LiuDepartment of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha 410011, Hunan, China.
Gaoting MaBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Dapeng MoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Zhongxue WuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Zhongrong MiaoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Aihua LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRapidly recognizing patients with large-vessel occlusion stroke (LVOS) and transferring them to a center offering recanalization therapy is crucial of maximizing the benefits of early treatment. We therefore aimed to design an easy-to-use recognition instrument for identifying LVOS.

methodsProspective data were collected from emergency departments of 12 stroke-center hospitals in China during a 17-month study period. The Stroke Aid for Emergency (SAFE) scale is based on consciousness commands, facial palsy, gaze, and arm motor ability. Receiver operating characteristic analysis was used to obtain the area under the curve for the SAFE scale and previously established scales to predict LVOS.

resultsThe SAFE scale could accurately predict LVOS at an accuracy rate comparable to that of the National Institutes of Health Stroke Scale (c-statistics: 0.823 versus 0.831, p = 0.4798). The sensitivity, specificity, positive predictive value, and negative predictive value for the SAFE scale were 0.6875, 0.8577, 0.6937, and 0.8542, respectively, with a cutoff point of 4. The SAFE scale also performed well in a subgroup analysis based on the patients' ages, occluded vessel locations, and the onset-to-door times.

conclusionsThe SAFE scale can accurately recognize LVOS at a rate comparable to those of other, similar scales.

Indexed as

Emergency Service, HospitalAgedArterial Occlusive DiseasesFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsROC CurveStrokeaccuracyendovascular therapylarge-vessel occlusion strokeNIHSSrecognition instrument

Identifiers

PMID33902003
PMCPMC8202851

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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.