Evidence map›Paper›PMID 37434777›Full record

ArticleJournal of clinical medicine research2023

Outcomes of Telestroke Inter-Hospital Transfers Among Intervention and Non-Intervention Patients.

Adalia H Jun-O'Connell, Shravan Sivakumar, Nils Henninger, Brian Silver, Meghna Trivedi, Mehdi Ghasemi, Rakhee R Lalla, Kimiyoshi J Kobayashi

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical medicine research, 2023. 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
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Adalia H Jun-O'ConnellDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Shravan SivakumarDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Nils HenningerDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Brian SilverDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Meghna TrivediDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Mehdi GhasemiDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Rakhee R LallaDepartment of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
Kimiyoshi J KobayashiDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
University of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telestroke is an established telemedicine method of delivering emergency stroke care. However, not all neurological patients utilizing telestroke service require emergency interventions or transfer to a comprehensive stroke center. To develop an understanding of the appropriateness of inter-hospital neurological transfers utilizing the telemedicine, our study aimed to assess the differences in outcomes of inter-hospital transfers utilizing the service in relation to the need for neurological interventions. Methods: The pragmatic, retrospective analysis included 181 consecutive patients, who were emergently transferred from telestroke-affiliated regional medical centers between October 3, 2021, and May 3, 2022. In this exploratory study investigating the outcomes of telestroke-referred patients, patients receiving interventions were compared to those that did not following transfer to our tertiary center. Neurological interventions included mechanical thrombectomy (MT) and/or tissue plasminogen activator (tPA), craniectomy, electroencephalography (EEG), or external ventricular drain (EVD). Transfer mortality rate, discharge functional status defined by modified Rankin scale (mRS), neurological status defined by National Institutes of Health Stroke Scale (NIHSS), 30-day unpreventable readmission rate, 90-day clinical major adverse cardiovascular events (MACE), and 90-day mRS, and NIHSS were studied. We used χ Results: Among the 181 transferred patients, 114 (63%) received neuro-intervention and 67 (37%) did not. The death rate during the index admission was not statistically significant between the intervention and non-intervention groups (P = 0.196). The discharge NIHSS and mRS were worse in the intervention compared to the non-intervention (P < 0.05 each, respectively). The 90-day mortality and cardiovascular event rates were similar between intervention and non-intervention groups (P > 0.05 each, respectively). The 30-day readmission rates were also similar between the two groups (14% intervention vs. 13.4% non-intervention, P = 0.910). The 90-day mRS were not significantly different between intervention and non-intervention groups (median 3 (IQR: 1 - 6) vs. 2 (IQR: 0 - 6), P = 0.109). However, 90-day NIHSS was worse in the intervention compared to non-intervention group (median 2 (IQR: 0 - 11) vs. 0 (IQR: 0 - 3), P = 0.004). Conclusions: Telestroke is a valuable resource that expedites emergent neurological care via referral to a stroke center. However, not all transferred patients benefit from the transfer process. Future multicenter studies are warranted to study the effects or appropriateness of telestroke networks, and to better understand the patient characteristics, resources allocation, and transferring institutions to improve telestroke care.

Indexed as

OutcomesQuality improvementTelestrokeThrombectomyThrombolytic therapy

Identifiers

PMID37434777
PMCPMC10332878
OpenAlexW4382726956

What OpenQuestion holds

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LicenceCC BY-NC
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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.