Evidence map›Paper›PMID 26988262›Full record

ArticleMolecular neurobiology2017

CT Permeability Imaging Predicts Clinical Outcomes in Acute Ischemic Stroke Patients Treated with Intra-arterial Thrombolytic Therapy.

Nan Liu, Hui Chen, Bing Wu, Ying Li, Max Wintermark, Alan Jackson, Jun Hu, Yongwei Zhang, Zihua Su, Guangming Zhu and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2017. 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
–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

2 citing papers in PubMed.

  1. Post-endovascular treatment, blood-brain barrier disruption, predicts patient outcomes better than pre-treatment status.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    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

11 authors.

Nan LiuThird Military Medical University, Chongqing, 400038, China.
Hui ChenDepartment of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China.
Bing WuDepartment of Radiology, Military General Hospital of Beijing PLA, Beijing, 100700, China.
Ying LiDepartment of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China.
Max WintermarkNeuroradiology Section, Department of Radiology, Stanford University, Stanford, CA, USA.
Alan JacksonWolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.
Jun HuDepartment of Neurology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China.
Yongwei ZhangDepartment of Neurology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China.
Zihua SuGE Healthcare, Beijing, China.
Guangming ZhuDepartment of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China. zhugmdc@aliyun.com.
Weiwei ZhangDepartment of Neurology, Military General Hospital of Beijing PLA, Beijing, 100700, China. zhangvivian@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we determined whether a prediction of final infarct volume (FIV) and clinical outcomes in patients with an acute stroke is improved by using a contrast transfer coefficient (K

Indexed as

Thrombolytic TherapyTomography, X-Ray ComputedAgedBrain IschemiaFemaleHumansInjections, Intra-ArterialMalePermeabilityPrognosisStrokeTreatment OutcomeBenign oligemiaBlood–brain barrier dysfunctionPerfusionPermeability

Identifiers

PMID26988262

What OpenQuestion holds

Textmetadata
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.