Evidence map›Paper›PMID 39108394›Full record

ArticleSurgical neurology international2024

A novel low-cost device for tool targeting training and microsurgical hand tremor assessment.

Andrey Bykanov, Maxim Kiryushin, Maxim Trube, Olga Rastvorova, Chernov Ilia, David Pitskhelauri

Abstract read
In one paragraph

Article in Surgical neurology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Andrey BykanovDepartment of Neurooncology, N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation.
Maxim KiryushinDepartment of Neurooncology, N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation.
Maxim TrubePeoples Friendship University of Russia, Moscow, Russian Federation.
Olga RastvorovaDepartment of Neurooncology, N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation.
Chernov IliaDepartment of Neurooncology, N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation.
David PitskhelauriDepartment of Neurooncology, N.N. Burdenko National Scientific and Practical Center for Neurosurgery, Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The spatial accuracy of microsurgical manipulations is one of the critical factors in successful surgical interventions. The purpose of this study was to create a low-cost, high-fidelity, and easy-to-use simulator for microsurgical skills training, which can be made by residents themselves at home. Methods: In response to the COVID-19 pandemic, we created a device for spatial accuracy microsurgical skills training and implemented it in our resident's training program. We propose a design for basic and advanced models. The simulator consisted of commonly available products. Results: A low-cost, durable, and high-fidelity basic model has been developed at a total cost of <10 dollars per unit. The model allows trainees to practice the critical microsurgical skills of tool targeting in a home-based setting. Conclusion: The developed device can be assembled at an affordable price using commercially available materials. Such simulation models can provide valuable training opportunities for microsurgery residents.

Indexed as

MicrosurgerySimulatorSurgical educationSurgical simulationSurgical skills

Identifiers

PMID39108394
PMCPMC11302592

What OpenQuestion holds

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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.