Evidence map›Paper›PMID 36124385›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2024

Differences in beginner and expert neurointerventionalists" heart rate variability during simulated neuroangiographies.

Dominik Hinzmann, Maximilian Singer, Valerie Schmelter, Kornelia Kreiser, Kim Gehling, Lea Ströber, Jan S Kirschke, Christian M Schulz, Frederick Schneider

Open access · hybridAbstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Dominik HinzmannTUM School of Medicine, Department of Anesthesiology and Intensive Care, Technical University of Munich, München, Germany.ORCID 0000-0001-5943-352X
Maximilian SingerTUM School of Medicine, Department of Anesthesiology and Intensive Care, Technical University of Munich, München, Germany.
Valerie SchmelterDepartment of Opthalmology, Ludwig-Maximilians-University, LMU Klinikum, München, Germany.
Kornelia KreiserTUM School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, München, Germany.
Kim GehlingTUM School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, München, Germany.ORCID 0000-0001-8846-5803
Lea StröberTUM School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, München, Germany.
Jan S KirschkeTUM School of Medicine, Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, München, Germany.
Christian M SchulzTUM School of Medicine, Department of Anesthesiology and Intensive Care, Technical University of Munich, München, Germany.
Frederick SchneiderTUM School of Medicine, Department of Anesthesiology and Intensive Care, Technical University of Munich, München, Germany.ORCID 0000-0002-1952-0124
Technical University of Munich · DEHeidelberg University · DELMU Klinikum · DERoMed Kliniken · DEUniversity and Rehabilitation Clinics Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLikewise work experience, heart rate variability (HRV) has repeatedly been correlated with improved performance under real life and simulator conditions. Using HRV as a correlate of workload, it is meaningful to assess the impact of work experience. To understand the impact of work experience on HRV metrics, we examined differences in HRV among experts and beginners during simulated endovascular neuroradiological procedures.

methodsSix inexperienced radiologists (beginners) and five experts in neurological endovascular intervention each performed 10 diagnostic angiographies on a Vascular Interventional System Trainer (VIST) simulator (Mentice AB, SW). Beyond total time, fluoroscopy time, and amount of contrast medium used, heart rate variability and the NASA-task load index were gathered as correlates of workload. The t-Test for independent samples as well as Mann-Whitney-U tests were applied for group-wise comparison between beginners and experts. Multivariate regression was used to assess the influence of age and expert status.

resultsTen participants completed all scenarios; one participant only completed the first five scenarios. Accordingly, 105 simulations were analyzed (beginners N = 60; experts N = 45, respectively). The heart rate variability of experts and beginners significantly differed in three time domain HRV metrics (decreased RMSSD, NN50, pNN50 in experts; all p < 0.05) as well as with respect to its distribution in the frequency spectrum (LF/HF ratio; p < 0.001, increased high frequency components in experts).

conclusionsThe HRV of beginners and expert neurointerventionalists significantly differed during simulated endovascular neuroradiological procedures. Experts presented decreased HRV, this could be a cardiovascular surrogate to the effort the subjects expend on their performance. It is in line with previous studies on vagal influences on the heart and cognitive-executive performance.

Indexed as

Clinical CompetenceEndovascular ProceduresHeart RateAdultCerebral AngiographyComputer SimulationFemaleHumansMaleMiddle AgedSimulation TrainingWorkloadheart rate variabilityknowledgeneuroradiologyperformanceSimulation

Identifiers

PMID36124385
PMCPMC11095349
OpenAlexW4296416841

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.