ArticleJournal of neuroendovascular therapy2021
COVID-19 Countermeasures in Acute Stroke.
Article in Journal of neuroendovascular therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
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0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The impact of coronavirus disease 2019 (COVID-19) is continuing, and the most important issue facing medical staff is how to provide medical care while preventing nosocomial infections. Since acute stroke treatment, particularly mechanical thrombectomy, is urgent, infection protection measures may not always be followed, which increases the risk of infection exposure. The measures and methods for patient screening, transport, zoning, and use of personal protective equipment (PPE) employed to prevent nosocomial infections of COVID-19 at our facility are described herein.
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Registered trials
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.