Evidence map›Paper›PMID 32461176›Full record

ArticleWorld neurosurgery2020

Impact of COVID-19 on an Academic Neurosurgery Department: The Johns Hopkins Experience.

Adham M Khalafallah, Adrian E Jimenez, Ryan P Lee, Jon D Weingart, Nicholas Theodore, Alan R Cohen, Rafael J Tamargo, Judy Huang, Henry Brem, Debraj Mukherjee

Open access · greenAbstract read
In one paragraph

Article in World neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
7.8field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Observational
  5. Article
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  10. How has the COVID-19 pandemic impacted clinical care and research in Neuro-Oncology?Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Observational
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  16. Trends in United States pediatric neurosurgical practice during the COVID-19 pandemic.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Adham M KhalafallahDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Adrian E JimenezDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Ryan P LeeDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Jon D WeingartDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Nicholas TheodoreDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Alan R CohenDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Rafael J TamargoDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Judy HuangDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Henry BremDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA.
Debraj MukherjeeDepartment of Neurosurgery, The Johns Hopkins University School of Medicine, Bethesda, Maryland, USA; Department of Health Policy and Management, The Johns Hopkins Bloomberg School of Public Health, Bethesda, Maryland, USA. Electronic address: dmukher1@jhmi.edu.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCoronavirus disease 2019 (COVID-19) is a disruptive pandemic that has continued to test the limits of health care system capacities. It is important to highlight the specific challenges facing US neurosurgery during these difficult circumstances. In the present study, we have described our neurosurgery department's unique experience during the COVID-19 pandemic.

methodsWe analyzed the following data points both before and during the first months of the COVID-19 pandemic: the number of patients infected with COVID-19 at our institution, changes in neurosurgical operative workflow, changes in neurosurgical outpatient and inpatient clinic workflows, resident redeployment statistics and changes in call schedules, and changes in neurosurgical education.

resultsAt our institution, the adult surgery numbers decreased from 120 during the week of March 4-11, 2020 (before the World Health Organization had classified the COVID-19 outbreak as a pandemic) to 17 during the week of April 13-17, 2020. The number of pediatric surgeries decreased from 15 to 3 during the same period. Significantly more surgeries were cancelled than were delayed (P < 0.0001). A drastic decline occurred in the number of in-person neurosurgery clinic visits (97.12%) between March and April 2020 (P = 0.0020). The inpatient census declined from mid-March to mid-April 2020 by 44.68% compared with a 4.26% decline during the same period in 2019 (P < 0.0001). Finally, neurosurgery education has largely shifted toward video-conferencing sessions rather than in-person sessions.

conclusionBy detailing our experience during the COVID-19 pandemic, we hope to have provided a detailed picture of the challenges facing neurosurgery within an academic medical center.

Indexed as

BetacoronavirusAcademic Medical CentersAdultAmbulatory CareChildCoronavirus InfectionsCOVID-19FemaleHumansMaleNeurosurgeryNeurosurgical ProceduresPandemicsPneumonia, ViralSARS-CoV-2WorkflowCoronavirusCOVID-19EducationNeurosurgery

Identifiers

PMID32461176
PMCPMC7245648
OpenAlexW3026341517

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.