Evidence map›Paper›PMID 33584495›Full record

ArticleFrontiers in neurology2020

What Is the "Optimal" Target Mismatch Criteria for Acute Ischemic Stroke?

Chushuang Chen, Mark W Parsons, Christopher R Levi, Neil J Spratt, Longting Lin, Timothy Kleinig, Kenneth Butcher, Xin Cheng, Qiang Dong, Billy O'Brien and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2020. 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. Article
  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

20 authors.

Chushuang ChenMelbourne Brain Centre, University of Melbourne, Parkville, VIC, Australia.
Mark W ParsonsDepartment of Neurology, Liverpool Hospital, University of New South Wales, Sydney, NSW, Australia.
Christopher R LeviDepartment of Neurology, John Hunter Hospital, University of Newcastle, Callaghan, NSW, Australia.
Neil J SprattDepartment of Neurology, John Hunter Hospital, University of Newcastle, Callaghan, NSW, Australia.
Longting LinDepartment of Neurology, Liverpool Hospital, University of New South Wales, Sydney, NSW, Australia.
Timothy KleinigDepartment of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia.
Kenneth ButcherPrince of Wales Medical School, University of New South Wales, Sydney, NSW, Australia.
Xin ChengDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Qiang DongDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Billy O'BrienDepartment of Neurology, Gosford Hospital, Gosford, NSW, Australia.
Richard I AviviDivision of Neuroradiology, Department of Medical Imaging, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Martin KrauseDepartment of Neurology, Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, NSW, Australia.
P N SylajaDepartment of Neurology, Sri Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India.
Philip ChoiDepartment of Neurology, Box Hill Hospital, Melbourne, VIC, Australia.
Sandeep BhutaDepartment of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia.
Congguo YinDepartment of Neurology, Hangzhou First Hospital, Zhejiang, China.
Jianhong YangDepartment of Neurology, Ningbo First Hospital, Zhejiang, China.
Peng WangDepartment of Neurology, Taizhou First People's Hospital, Zhejiang, China.
Weiwen QiuDepartment of Neurology, Lishui People's Hospital, Zhejiang, China.
Andrew BivardMelbourne Brain Centre, University of Melbourne, Parkville, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to compare Perfusion Imaging Mismatch (PIM) and Clinical Core Mismatch (CCM) criteria in ischemic stroke patients to identify the effect of these criteria on selected patient population characteristics and clinical outcomes. Patients from the INternational Stroke Perfusion Imaging REgistry (INSPIRE) who received reperfusion therapy, had pre-treatment multimodal CT, 24-h imaging, and 3 month outcomes were analyzed. Patients were divided into 3 cohorts: endovascular thrombectomy (EVT), intravenous thrombolysis alone with large vessel occlusion (IVT-LVO), and intravenous thrombolysis alone without LVO (IVT-nonLVO). Patients were classified using 6 separate mismatch criteria: PIM-using 3 different measures to define the perfusion deficit (Delay Time, Tmax, or Mean Transit Time); or CCM-mismatch between age-adjusted National Institutes of Health Stroke Scale and CT Perfusion core, defined as relative cerebral blood flow <30% within the perfusion deficit defined in three ways (as above). We assessed the eligibility rate for each mismatch criterion and its ability to identify patients likely to respond to treatment. There were 994 patients eligible for this study. PIM with delay time (PIM-DT) had the highest inclusion rate for both EVT (82.7%) and IVT-LVO (79.5%) cohorts. In PIM positive patients who received EVT, recanalization was strongly associated with achieving an excellent outcome at 90-days (e.g., PIM-DT: mRS 0-1, adjusted OR 4.27,

Indexed as

endovascular thrombectomyintravenous thrombolysisischemic strokeperfusiontarget mismatch

Identifiers

PMID33584495
PMCPMC7874100

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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.