Evidence map›Paper›PMID 30577762›Full record

ArticleBMC neurology2018

Predictors of thrombolysis in the telestroke and non telestroke settings for hypertensive acute ischemic stroke patients.

Leanne Brecthel, Jordan Gainey, Alexandria Penwell, Thomas I Nathaniel

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Ratio of FEVChest · 2021
    Observational
  7. Article
  8. Article
  9. Gender and thrombolysis therapy in acute ischemic stroke patients with incidence of obesity.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Article
  10. Article
  11. Discordant Quantitative and Visual CT Assessments in the Diagnosis of Emphysema.International journal of chronic obstructive pulmonary disease
    Article
  12. Article
  13. The Association Between an Antecedent of Transient Ischemic Attack Prior to Onset of Stroke and Functional Ambulatory Outcome.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

4 authors at 2 institutions in 1 country.

Leanne BrecthelUniversity of South Carolina, School of Medicine-Greenville, Greenville, SC, 29605, USA.
Jordan GaineyUniversity of South Carolina, School of Medicine-Greenville, Greenville, SC, 29605, USA.
Alexandria PenwellUniversity of South Carolina, School of Medicine-Greenville, Greenville, SC, 29605, USA.
Thomas I NathanielUniversity of South Carolina, School of Medicine-Greenville, Greenville, SC, 29605, USA. nathanit@greenvillemed.sc.ed.ORCID http://orcid.org/0000-0003-0954-5050
University of South Carolina · USPrisma Health · US

Funding

Fullerton College Foundation 03518926
6 · The paper itself

Abstract

backgroundIn acute ischemic stroke patients, telestroke technology provides sustainable approaches to improve the use of thrombolysis therapy. How this is achieved as it relates to inclusion or exclusion of clinical risk factors for thrombolysis is not fully understood. We investigated this in a population of hypertensive stroke patients.

methodsStructured data from a regional stroke registry that contained telestroke and non telestroke patients with a primary diagnosis of acute ischemic stroke with history of hypertension were collected between January 2014 and June 2016. Clinical risk factors associated with inclusion or exclusion for recombinant tissue plasminogen activator (rtPA) in the telestroke and non telestroke were identified using multiple regression analysis. Associations between variables and rtPA in the regression models were determined using variance inflation factors while the fitness of each model was determined using the ROC curve to predict the power of each logistic regression model.

resultsThe non telestroke admitted more patients (62% vs 38%), when compared with the telestroke. Although the telestroke admitted fewer patients, it excluded 11% and administered thrombolysis therapy to 89% of stroke patients with hypertension. In the non telestroke group, adjusted odd ratios showed significant associations of NIH stroke scale score (OR = 1.059, 95% CI, 1.025-1.093, P < 0.001) and coronary artery disease (OR = 2.003, 95% CI, 1.16-3.457, P = 0.013) with inclusion, while increasing age (OR = 0.979, 95% CI, 0.961-0.996, P = 0.017), higher INR (OR = 0.146, 95% CI, 0.032-0.665, P = 0.013), history of previous stroke (OR = 0.39, 95% CI, 0.223-0.68, P = 0.001), and renal insufficiency (OR = 0.153, 95% CI, 0.046-0.508, P = 0.002) were associated with rtPA exclusion. In the telestroke, only direct admission to the telestroke was associated with rtPA administration, (OR = 4.083, 95% CI, 1.322-12.611, P = 0.014).

conclusionThe direct admission of hypertensive stroke patients to the telestroke network was the only factor associated with inclusion for thrombolysis therapy even after adjustment for baseline variables. The telestroke technology provides less restrictive criteria for clinical risk factors associated with the inclusion of hypertensive stroke patients for thrombolysis.

Indexed as

TelemedicineAdultAgedAged, 80 and overFemaleFibrinolytic AgentsHumansHypertensionLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioRegistriesRisk FactorsStrokeFibrinolytic AgentsTissue Plasminogen ActivatorAcute ischemic strokeExclusion criteriaHypertensionInclusion criteriartPA

Identifiers

PMID30577762
PMCPMC6302528
OpenAlexW2905981983

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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.