Evidence map›Paper›PMID 33992171›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2021

Impact on neurosurgical management in Level 1 trauma centers during COVID-19 shelter-in-place restrictions: The Santa Clara County experience.

Michael Zhang, James Zhou, Ben Dirlikov, Tene Cage, Marco Lee, Harminder Singh

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Impact on neurosurgical management in a Level 1 trauma center post COVID-19 shelter-in-place restrictions.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
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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

6 authors at 3 institutions in 1 country.

Michael ZhangDepartment of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA.
James ZhouCalifornia Northstate University College of Medicine, 9700 W Taron Drive, Elk Grove, CA 95757, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA.
Ben DirlikovDepartment of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA.
Tene CageDepartment of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA.
Marco LeeDepartment of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA.
Harminder SinghDepartment of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA. Electronic address: harman@stanford.edu.
Stanford University · USCalifornia Northstate University · USSanta Clara Valley Medical Center · US

Funding

STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
NCI NIH HHS T32 CA009695
6 · The paper itself

Abstract

Early COVID-19-targeted legislations reduced public activity and elective surgery such that local neurosurgical care greatly focused on emergent needs. This study examines neurosurgical trauma patients' dispositions through two neighboring trauma centers to inform resource allocation. We conducted a retrospective review of the trauma registries for two Level 1 Trauma Centers in Santa Clara County, one academic and one community center, between February 1st and April 15th, 2018-2020. Events before a quarantine, implemented on March 16th, 2020, and events from 2018 to 19 were used for reference. Encounters were characterized by injuries, services, procedures, and disposition. Categorical variables were analyzed by the χ2 test, proportions of variables by z-score test, and non-parametric variables by Fisher's exact test. A total of 1,336 traumas were identified, with 31% from the academic center and 69% from the community center. During the post-policy period, relative to matching periods in years prior, there was a decrease in number of TBI and spinal fractures (24% versus 41%, p < 0.001) and neurosurgical consults (27% versus 39%, p < 0.003), but not in number of neurosurgical admissions or procedures. There were no changes in frequency of neurosurgery consults among total traumas, patients triaged to critical care services, or patients discharged to temporary rehabilitation services. Neurosurgical services were similarly rendered between the academic and community hospitals. This study describes neurosurgical trauma management in a suburban healthcare network immediately following restrictive quarantine during a moderate COVID-19 outbreak. Our data shows that neurosurgery remains a resource-intensive subspeciality, even during restrictive periods when overall trauma volume is decreased.

Indexed as

COVID-19PandemicsQuarantineAcademic Medical CentersAdultBrain Injuries, TraumaticCaliforniaChildCommunity Health CentersFemaleHumansMaleNeurosurgeryRetrospective StudiesSpinal Cord InjuriesTrauma CentersCOVID-19Healthcare systemsNeurosurgeryQuarantineTrauma

Identifiers

PMID33992171
PMCPMC8132469
OpenAlexW3146649664

What OpenQuestion holds

Textmetadata
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.