Evidence map›Paper›PMID 33859908›Full record

ArticleCureus2021

Neurological Manifestations of COVID-19 Within the Intensive Care Unit During a Military Deployment for the Early Pandemic Surge in New York City.

Richard P Menger, Ian L Valerio

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 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 96% 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

2 authors at 2 institutions in 1 country.

Richard P MengerNeurosurgery and Political Science, University of South Alabama, Mobile, USA.
Ian L ValerioPlastic and Reconstructive Surgery, Massachusetts General Hospital, Boston, USA.
Boston University · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) resulted in a worldwide pandemic that at the time of this writing has caused over 400,000 deaths within the United States. During the pandemic surge in New York City, NY, a number of military Medical Corps (MC) and Nurse Corps (NC) providers were mobilized in direct support of critical care capabilities through expansion intensive care units. In the course of the deployment, high rates of neurological-related manifestations associated with COVID-19 infection were directly observed by our military provider teams which will be described and supporting literature highlighted. This is organic information absorbed in real time during the early stages of the pandemic in New York City. The neurological manifestations of COVID-19 varied in presentation and severity. Cerebral vascular injuries documented included strokes, iatrogenic intraparenchymal hemorrhage, hypoxia-related changes and sequelae, as well as acquired diseases secondary to delayed treatment of other primary neurologic disease states. Hypercoagulable and inflammatory markers (d-dimer, C-reactive protein, etc) were commonly elevated, and anticoagulation became a key factor in disease treatment and to help mitigate the downstream neurologic sequelae associated with this disease. Here we present these initial findings to lay the groundwork for more robust clinical studies moving forward.

Indexed as

covid-19 outbreakcovid coagulopathydeployment medicinemedical intensive care unit (micu)military physiciannew york cityoperational medicinestrokestroke and covid-19us navy

Identifiers

PMID33859908
PMCPMC8038911
OpenAlexW3137364308

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.