Evidence map›Paper›PMID 28144480›Full record

ArticleSurgical neurology international2016

Implementation of an institution-wide acute stroke algorithm: Improving stroke quality metrics.

Scott L Zuckerman, Jordan A Magarik, Kiersten B Espaillat, Nishant Ganesh Kumar, Ritwik Bhatia, Michael C Dewan, Peter J Morone, Lisa D Hermann, Anne E O'Duffy, Derek A Riebau and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Surgical neurology international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Scott L ZuckermanDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jordan A MagarikDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Kiersten B EspaillatVanderbilt Comprehensive Stroke Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Nishant Ganesh KumarDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Ritwik BhatiaDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Michael C DewanDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Peter J MoroneDepartment of Neurological Surgery, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Lisa D HermannDepartment of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Anne E O'DuffyDepartment of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Derek A RiebauDepartment of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Howard S KirshnerDepartment of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
J MoccoDepartment of Neurosurgery, Mt. Sinai School of Medicine, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn May 2012, an updated stroke algorithm was implemented at Vanderbilt University Medical Center. The current study objectives were to: (1) describe the process of implementing a new stroke algorithm and (2) compare pre- and post-algorithm quality improvement (QI) metrics, specificaly door to computed tomography time (DTCT), door to neurology time (DTN), and door to tPA administration time (DTT).

methodsOur institutional stroke algorithm underwent extensive revision, with a focus on removing variability, streamlining care, and improving time delays. The updated stroke algorithm was implemented in May 2012. Three primary stroke QI metrics were evaluated over four separate 3-month time points, one pre- and three post-algorithm periods.

resultsThe following data points improved after algorithm implementation: average DTCT decreased from 39.9 to 12.8 min (

conclusionA new stroke protocol that prioritized neurointervention at our institution resulted in significant lowering in the DTCT and DTN, with a nonsignificant improvement in DTT.

Indexed as

Algorithmemergency medicineneurologyneurosurgerystrokethrombectomy

Identifiers

PMID28144480
PMCPMC5234297

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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.