Evidence map›Paper›PMID 37363610›Full record

ArticleAnnals of medicine and surgery (2012)2023

Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study.

Bikram P Gajurel, Subarna Giri, Parishma Tamrakar, Anupama Pandeya, Niraj Gautam, Aashish Shrestha, Ragesh Karn, Reema Rajbhandari, Rajeev Ojha

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 61% of its field
1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Bikram P GajurelDepartment of Neurology, Tribhuvan University Teaching Hospital.
Subarna GiriTribhuvan University Institute of Medicine, Maharajgunj Medical Campus.ORCID 0000-0001-8876-5232
Parishma TamrakarIntensive Care Unit, Tribhuvan University Teaching Hospital, Kathmandu, Nepal.ORCID 0000-0003-3105-0847
Anupama PandeyaTribhuvan University Institute of Medicine, Maharajgunj Medical Campus.
Niraj GautamDepartment of Neurology, Tribhuvan University Teaching Hospital.
Aashish ShresthaDepartment of Neurology, Tribhuvan University Teaching Hospital.
Ragesh KarnDepartment of Neurology, Tribhuvan University Teaching Hospital.
Reema RajbhandariDepartment of Neurology, Tribhuvan University Teaching Hospital.
Rajeev OjhaDepartment of Neurology, Tribhuvan University Teaching Hospital.ORCID 0000-0001-7680-7036
Tribhuvan University Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has affected the number of stroke activations, admission of patients with various types of strokes, the rate and timely administration of reperfusion therapy, and all types of time-based stroke-related quality assessment metrics. In this study, we describe the different types of strokes, different delays in seeking and completing treatment occurring during the second wave of the COVID-19 pandemic, and predictors of outcome at 3 months follow-up. Materials and methods: This is a single-centered prospective cross-sectional study carried out from May 2021 to November 2021, enrolling patients with stroke. Data collected were demographic characteristics, stroke types and their outcomes, and different types of prehospital delays. Results: A total of 64 participants were included in the study with a mean age of 60.25±15.31 years. Ischemic stroke was more common than hemorrhagic stroke. The median time of arrival to the emergency room of our center was 24 h. The most common cause of prehospital delay was found to be delays in arranging vehicles. The median duration of hospital stays [odds ratio (OR)=0.72, Conclusion: The factors that cause the delayed transfer to the hospital and onset of treatment should be addressed. Patient counseling about the likely prognosis can be done after evaluating the probable outcome based on the NIHSS score and median duration of hospital stay. Nevertheless, mechanisms should be developed to reduce the prehospital delay at the ground level as well as at the policy level.

Indexed as

COVID-19hemorrhagic strokeischemic strokeLMICNIHSSprehospital delay

Identifiers

PMID37363610
PMCPMC10289718
OpenAlexW4382182182

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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.