Evidence map›Paper›PMID 36143349›Full record

ArticleLife (Basel, Switzerland)2022

Cerebral Venous Oxygen Saturation in Hypoperfusion Regions May Become a New Imaging Indicator to Predict the Clinical Outcome of Stroke.

Fengqiu Cao, Mingming Wang, Shengyu Fan, Shanhua Han, Yingwei Guo, Asim Zaman, Jia Guo, Yu Luo, Yan Kang

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 5 institutions in 2 countries.

Fengqiu CaoCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.ORCID 0000-0002-9967-7892
Mingming WangDepartment of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Shengyu FanCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Shanhua HanDepartment of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Yingwei GuoCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.ORCID 0000-0002-3049-8474
Asim ZamanCollege of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0002-7723-3684
Jia GuoDepartment of Psychiatry, Columbia University, New York, NY 10027, USA.ORCID 0000-0003-4803-0279
Yu LuoDepartment of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Yan KangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.ORCID 0000-0002-4532-5744
Tongji University · CNMinistry of Education of the People's Republic of China · CNShenzhen Technology University · CNColumbia University · USNortheastern University · CN

Funding

the Natural Scientific Foundation of China 62071311the Natural Scientific Foundation of China 81971590
6 · The paper itself

Abstract

To automatically and quantitatively evaluate the venous oxygen saturation (SvO2) in cerebral ischemic tissues and explore its value in predicting prognosis. A retrospective study was conducted on 48 AIS patients hospitalized in our hospital from 2015−2018. Based on quantitative susceptibility mapping and perfusion-weighted imaging, this paper measured the cerebral SvO2 in hypoperfusion tissues and its change after intraarterial rt-PA treatment. The cerebral SvO2 in different hypoperfusion regions between the favorable and unfavorable clinical outcome groups was analyzed using an independent t-test. Relationships between cerebral SvO2 and clinical scores were determined using the Pearson correlation coefficient. The receiver operating characteristic process was conducted to evaluate the accuracy of cerebral SvO2 in predicting unfavorable clinical outcomes. Cerebral SvO2 in hypoperfusion (Tmax > 4 and 6 s) was significantly different between the two groups at follow-up (p < 0.05). Cerebral SvO2 and its changes before and after treatment were negatively correlated with clinical scores. The positive predictive value, negative predictive value, accuracy, and area under the curve of the cerebral SvO2 were higher than those predicted by the ischemic core. Therefore, the cerebral SvO2 of hypoperfusion regions was a stronger imaging predictor of unfavorable clinical outcomes after stroke.

Indexed as

cerebral venous oxygen saturationhypoperfusionimaging predictorstrokeunfavorable clinical outcome

Identifiers

PMID36143349
PMCPMC9504954
OpenAlexW4293759819

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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.