Evidence map›Paper›PMID 31780246›Full record

Observational studyJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2020

The Association Between Stroke Mortality and Time of Admission and Participation in a Telestroke Network.

Brian Witrick, Donglan Zhang, Jeffrey A Switzer, David C Hess, Lu Shi

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Racial and ethnic disparities in the usage and outcomes of ischemic stroke treatment in the United States.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Observational
  3. Article
  4. Article
  5. Variation in patterns of telestroke usage during the COVID-19 pandemic.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Weekend Effect on in-Hospital Mortality for Ischemic and Hemorrhagic Stroke in US Rural and Urban Hospitals.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2020
    Observational
  10. Article
  11. 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

5 authors.

Brian WitrickDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina.
Donglan ZhangDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, Georgia. Electronic address: dzhang@uga.edu.
Jeffrey A SwitzerDepartment of Neurology, Medical College of Georgia, Augusta University, Augusta, Georgia.
David C HessDepartment of Neurology, Medical College of Georgia, Augusta University, Augusta, Georgia.
Lu ShiDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina.

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886
6 · The paper itself

Abstract

objectivesAcute ischemic stroke is one of the leading causes of death. Patient outcomes, such as in-patient mortality, may be impacted by the time of arrival to the hospital. Telestroke networks have been found to be effective and safe at treating acute ischemic strokes. This paper investigated the association between mortality and time of arrival and hospital's participation in a telestroke network.

methodsData were collected on ischemic stroke patients who arrived at 15 nonteaching hospitals in Georgia's Paul Coverdell Acute stroke registry from 2009 to 2016. After controlling for patient and hospital characteristics, multivariate logistic regression was conducted to assess whether time of arrival and telestroke participation was associated with in-hospital mortality. Subgroup analysis was conducted based on hospital bed size.

resultsOverall, a total of 19,759 admissions for acute ischemic stroke were included in this analysis. The odds of dying in the hospital when arriving during the nighttime are 1.22 times the odds of dying when arriving during the day (95% CI: 1.04-1.45) and the odds of dying at a telestroke hospital are 53% lower than at a nontelestroke hospital (OR .47, 95% CI .31-.71). The associations were more prominent in large hospitals.

conclusionsOur study found that the hour of arrival for acute ischemic stroke is linked with in-hospital mortality in large hospitals, with patients more likely to die if they arrive during the nighttime hours as compared to the daytime hours. Telestroke participation is linked with lower odds of hospital mortality in all hospitals.

Indexed as

After-Hours CareHospital MortalityPatient AdmissionAdolescentAdultAgedBrain IschemiaDelivery of Health Care, IntegratedFemaleGeorgiaHospital Bed CapacityHumansMaleMiddle AgedPatient Care TeamRegistriesmortalitystrokeTelestroketime metrics

Identifiers

PMID31780246
PMCPMC6954319

What OpenQuestion holds

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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.