Evidence map›Paper›PMID 28982689›Full record

ArticleCirculation2017

Increase in Endovascular Therapy in Get With The Guidelines-Stroke After the Publication of Pivotal Trials.

Eric E Smith, Jeffrey L Saver, Margueritte Cox, Li Liang, Roland Matsouaka, Ying Xian, Deepak L Bhatt, Gregg C Fonarow, Lee H Schwamm

Registry-linked trialAbstract read
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In one paragraph

Article in Circulation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04087382 (Mechanical Thrombectomy in Acute Ischemic Stroke Beyond the Time of Window), which is not on this map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–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.

NCT04087382 nacompletednot on this mapstarted 2019, after this paper: background citation

Mechanical Thrombectomy in Acute Ischemic Stroke Beyond the Time of Window: Non Randomized Controlled Clinical Trial

TypeinterventionalSponsorAssiut UniversityRan2019 to 2019Enrolled57ConditionsAcute Ischemic StrokeArmsthrombectomy, non intervention group
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Advanced Machine Learning Models for Predicting Post-Thrombolysis Hemorrhagic Transformation in Acute Ischemic Stroke Patients: A Systematic Review and Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Eric E SmithCalgary Stroke Program, Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Canada (E.E.S.). eesmith@ucalgary.ca.
Jeffrey L SaverDepartment of Neurology (J.L.S.) and Division of Cardiology (G.C.F.).
Margueritte CoxUniversity of California, Los Angeles. Duke Clinical Research Institute (M.C., L.L., Y.X.).
Li LiangUniversity of California, Los Angeles. Duke Clinical Research Institute (M.C., L.L., Y.X.).
Roland MatsouakaDepartment of Biostatistics and Bioinformatics (R.M.).
Ying XianUniversity of California, Los Angeles. Duke Clinical Research Institute (M.C., L.L., Y.X.).
Deepak L BhattDuke University, Durham, NC. Brigham and Women's Hospital Heart & Vascular Center, Harvard Medical School, Boston, MA (D.L.B.).
Gregg C FonarowDepartment of Neurology (J.L.S.) and Division of Cardiology (G.C.F.).
Lee H SchwammDepartment of Neurology, Massachusetts General Hospital, Boston (L.H.S.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeginning in December 2014, a series of pivotal trials showed that endovascular thrombectomy (EVT) was highly effective, prompting calls to reorganize stroke systems of care. However, there are few data on how these trials influenced the frequency of EVT in clinical practice. We used data from the Get With The Guidelines-Stroke program to determine how the frequency of EVT changed in US practice.

methodsWe analyzed prospectively collected data from a cohort of 2 437 975 patients with ischemic stroke admitted to 2222 participating hospitals between April 2003 and the third quarter of 2016. Weighted linear regression with 2 linear splines and a knot at January 2015 was used to compare the slope of the change in EVT use before and after the pivotal trials were published. Potentially eligible patients were defined as last known well to arrival time ≤4.5 hours and National Institutes of Health Stroke Scale score ≥6.

resultsThe frequency of EVT use was slowly increasing before January 2015 but then sharply accelerated thereafter. In the third quarter 2016, EVT was provided to 3.3% of all patients with ischemic stroke at all hospitals, representing 15.1% of all patients who were potentially eligible for EVT based on stroke duration and severity. At EVT-capable hospitals, 7.5% of all patients with ischemic stroke were treated in the third quarter of 2016, including 27.3% of the potentially eligible patients. From 2013 to 2016, case volumes nearly doubled at EVT-capable hospitals. Mean case volume per EVT-capable hospital was 37.6 per year in the last 4 quarters. EVT case volumes increased in nearly all US states from 2014 to the last 4 quarters, but with persistent geographic variation unexplained by differences in potential patient eligibility.

conclusionsEVT use is increasing rapidly; however, there are still opportunities to treat more patients. Reorganizing stroke systems to route patients to adequately resourced EVT-capable hospitals might increase treatment of eligible patients, improve outcomes, and reduce disparities.

Indexed as

Endovascular ProceduresThrombectomyCohort StudiesFemaleHumansMalePractice Guidelines as TopicProspective StudiesSex FactorsStrokeTreatment OutcomeUnited Statesendovascular procedureshealthcare disparitiesstroke, ischemicthrombectomytreatment outcome

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Registered trials

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.