Evidence map›Paper›PMID 42404477›Full record

ArticleSurgical neurology international2026

Suturing maneuvers and technical insufficiencies in microvascular anastomosis dry laboratory training analyzed with the skill decomposition approach.

Evgenii Belykh, Arevik Abramyan, Dara S Farhadi, Xiaochun Zhao, Ali Tayebi Meybodi, Leandro Borba Moreira, Mark C Preul

Abstract read
In one paragraph

Article in Surgical neurology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Evgenii BelykhDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.
Arevik AbramyanDepartment of Neurological Surgery, New Jersey Medical School, Rutgers University, Newark, New Jersey, United States.
Dara S FarhadiDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.
Xiaochun ZhaoDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.
Ali Tayebi MeybodiDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.
Leandro Borba MoreiraDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.
Mark C PreulDepartment of Neurosurgery, The Loyal and Edith Davis Neurosurgical Research Laboratory, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study applied a skill decomposition approach to identify and quantify technical nuances of performing subtasks of a microvascular anastomosis by analyzing suturing maneuvers, the duration of each step, and technical insufficiencies in a controlled setting. Methods: Four microneurosurgery trainees performed 16 end-to-side microanastomoses, alternating between the interrupted technique (IT) and the continuous technique (CT) of suturing on standardized artificial vessels. At the subtask level, 24 reproducible suturing techniques and 42 technical insufficiencies were identified and analyzed. Results: Significant contributors to faster suture included biting both walls in a single move, dominant-hand suturing, and suturing directed toward the participant. Total anastomosis time correlated negatively with the sequential attempt order ( Conclusion: By converting well-known microsurgical concepts into measurable performance subtasks, the skill decomposition approach offers a foundation for objective skill assessment and targeted training intervention. Identified maneuvers and insufficiencies that influenced the anastomosis subtasks form the foundation for evidence-based microsurgery training. A better understanding of the most effective microsurgical suturing techniques will contribute to their refinement, improving anastomosis quality and decreasing performance time.

Indexed as

Microsurgical techniquesMicrovascular anastomosisSkill decompositionSuturing techniquesTask decompositionTraining

Identifiers

PMID42404477
PMCPMC13331186

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LicenceCC BY-NC-SA
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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.