Evidence map›Paper›PMID 33613131›Full record

ArticleJournal of radiology nursing2021

Covid-19: As a Fear Factor in Response to Stroke Code and Other Interventional Radiology Emergencies?

Luis Manuel Fernández Cacho, Pedro Muñoz Cacho, Juan Jordá Lope, Rosa Ayesa Arriola

Open access · greenAbstract read
In one paragraph

Article in Journal of radiology nursing, 2021. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Luis Manuel Fernández CachoDepartment of Radiology, Marqués de Valdecilla University Hospital, Santander, Spain.
Pedro Muñoz CachoCantabrian Health Service, Santander, Spain.
Juan Jordá LopeDepartment of Radiology, Marqués de Valdecilla University Hospital, Santander, Spain.
Rosa Ayesa ArriolaCIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Spain.
Marqués de Valdecilla University Hospital · ESUniversidad de Cantabria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 coronavirus crisis has posed an international challenge for all health systems. The first patient registered in Spain with the COVID-19 coronavirus was known on January 31, and the state of alarm was declared on March 14, 2020. The advance of the infection worldwide has caused a modification of the usual pattern in hospital emergency responses. This study describes the incidence of emergencies in the interventional radiology section of the Marqués de Valdecilla University Hospital and analyzes whether the presence of COVID-19 caused a decrease in the number of patients treated especially for ischemic strokes. A descriptive cross-sectional study was carried out on a sample of 236 patients treated at the interventional radiology on call between June 1, 2019 and May 10, 2020, at the Marqués de Valdecilla University Hospital. No specific results were found that indicate a decrease in the incidence of urgent procedures, especially mechanical thrombectomies in patients with ischemic strokes performed by the interventional radiology team since the establishment of the alarm state by COVID-19 in Cantabria. Patients' fear of contracting COVID-19 infection in the hospital environment has not led to a decrease in urgent procedures, especially for ischemic strokes.

Indexed as

CoronavirusCOVID-19Hospital emergency servicesInterventional radiologySARS-VOC-2Stroke code

Identifiers

PMID33613131
PMCPMC7888261
OpenAlexW3131586767

What OpenQuestion holds

Textmetadata
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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.