Evidence map›Paper›PMID 33065350›Full record

ArticleWorld neurosurgery2021

Early Effects of COVID-19 Pandemic on Neurosurgical Training in the United States: A Case Volume Analysis of 8 Programs.

Zaid S Aljuboori, Christopher C Young, Visish M Srinivasan, Ryan T Kellogg, Jennifer L Quon, Mohammed A Alshareef, Stephanie H Chen, Michael Ivan, Gerald A Grant, Sean D McEvoy and 7 more

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In one paragraph

Article in World neurosurgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
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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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Zaid S AljubooriDepartment of Neurosurgery, University of Louisville, Louisville, Kentucky, USA. Electronic address: zaid.aljuboori@yahoo.com.
Christopher C YoungDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Visish M SrinivasanDepartment of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.
Ryan T KelloggDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Jennifer L QuonDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, California, USA.
Mohammed A AlshareefDepartment of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Stephanie H ChenDepartment of Neurological Surgery, University of Miami, Miami, Florida, USA.
Michael IvanDepartment of Neurological Surgery, University of Miami, Miami, Florida, USA.
Gerald A GrantDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, California, USA.
Sean D McEvoyDepartment of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Justin R DavanzoDepartment of Neurological Surgery, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Sonia MajidDepartment of Neurological Surgery, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Sharon DurfyDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Michael R LevittDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Emily P SiegDepartment of Neurosurgery, University of Louisville, Louisville, Kentucky, USA.
Richard G EllenbogenDepartment of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Haring J NautaDepartment of Neurosurgery, University of Louisville, Louisville, Kentucky, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the impact of the 2019 novel coronavirus disease (COVID-19) pandemic on operative case volume in 8 U.S. neurosurgical residency training programs in early 2020 and to survey these programs regarding training activities during this period.

methodsA retrospective review was conducted of monthly operative case volumes and types for 8 residency programs for 2019 and January through April 2020. Cases were grouped as elective cranial, elective spine, and nonelective emergent cases. Programs were surveyed regarding residents' perceptions of the impact of COVID-19 on surgical training, didactics, and research participation. Data were analyzed for individual programs and pooled across programs.

resultsAcross programs, the 2019 monthly mean ± SD case volume was 211 ± 82; 2020 mean ± SD case volumes for January, February, March, and April were 228 ± 93, 214 ± 84, 180 ± 73, and 107 ± 45. Compared with 2019, March and April 2020 mean cases declined 15% (P = 0.003) and 49% (P = 0.002), respectively. COVID-19 affected surgical case volume for all programs; 75% reported didactics negatively affected, and 90% reported COVID-19 resulted in increased research time. Several neurosurgery residents required COVID-19 testing; however, to our knowledge, only 1 resident from the participating programs tested positive.

conclusionsThis study documents a significant reduction in operative volume in 8 neurosurgery residency training programs in early 2020. During this time, neurosurgery residents engaged in online didactics and research-related activities, reporting increased research productivity. Residency programs should collect data to determine the educational impact of the COVID-19 pandemic on residents' operative case volumes, identify deficiencies, and develop plans to mitigate any effects.

Indexed as

COVID-19PandemicsCOVID-19 TestingEducation, Medical, GraduateElective Surgical ProceduresHumansInfectious Disease Transmission, Patient-to-ProfessionalInternship and ResidencyNeurosurgeryResearchRetrospective StudiesSpineSurveys and QuestionnairesUnited StatesCase volumeCoronavirusCOVID-19Neurosurgery trainingResidencySkills

Identifiers

PMID33065350
PMCPMC7550889

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.