Evidence map›Paper›PMID 31641377›Full record

ArticleExperimental and therapeutic medicine2019

Outcome prediction for patients with anterior circulation acute ischemic stroke following endovascular treatment: A single-center study.

Xiao Wu, Guoqing Liu, Wu Zhou, Aihua Ou, Xian Liu, Yuhan Wang, Sifan Zhou, Wenting Luo, Bo Liu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  10. Observational
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

9 authors at 1 institution in 1 country.

Xiao WuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Guoqing LiuDepartment of Radiology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P.R. China.
Wu ZhouThe Medical Imaging Laboratory, School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China.
Aihua OuDepartment of Statistics and Epidemiology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P.R. China.
Xian LiuDepartment of Radiology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P.R. China.
Yuhan WangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Sifan ZhouThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Wenting LuoThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
Bo LiuDepartment of Radiology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, P.R. China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have identified various factors associated with the outcomes of acute ischemic stroke (AIS) but considered only 1 or 2 predictive factors. The present study aimed to use outcome-related factors derived from biochemical, imaging and clinical data to establish a logistic regression model that can predict the outcome of patients with AIS following endovascular treatment (EVT). The data of 118 patients with anterior circulation AIS (ACAIS) who underwent EVT between October 2014 and August 2018 were retrospectively analyzed. The patients were divided into 2 groups based on the modified Rankin Scale score at three months after surgery, where 0-2 points were considered to indicate a favorable outcome and 3-6 points were considered a poor outcome. Non-conditional logistic stepwise regression was used to identify independent variables that were significantly associated with patient outcome, which were subsequently used to establish a predictive statistical model, receiver operating characteristic (ROC) curve was used to show the performance of statistical model and analyze the specific association between each factor and outcome. Among the 118 patients, 47 (39.83%) exhibited a good and 71 (60.17%) exhibited a poor outcome. Multivariate analysis revealed that the predictive model was statistically significant (χ

Indexed as

acute ischemic strokebiochemical indicatorsclinical factorsendovascular treatmentimaging characteristicsinfarct lesion volumeoutcome prediction

Identifiers

PMID31641377
PMCPMC6796376
OpenAlexW2976993084

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.