Evidence map›Paper›PMID 39394495›Full record

ArticleNeurosurgical review2024

Comment on - "Simulation training approaches in intracranial aneurysm surgery-a systematic review".

Hethesh Chellapandian, Sivakamavalli Jeyachandran

RetractedAbstract readLetterRetracted Publication
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Hethesh ChellapandianLab in Biotechnology and Biosignal Transduction, Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, TN, 600 077, India.
Sivakamavalli JeyachandranLab in Biotechnology and Biosignal Transduction, Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, TN, 600 077, India. sivakamavalli.sdc@saveetha.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing complexity of intracranial aneurysm surgery and the reduced opportunities for hands-on training, there is a need for effective simulation-based training methods. This systematic review examines 26 studies on various simulation training approaches for intracranial aneurysm clipping, including ex vivo methods, virtual reality platforms, and 3D-printed models. The review evaluates these methods based on their effectiveness, realism, usability, and validation, highlighting that current simulation models are heterogeneous and lack standardization. Most existing simulations fail to replicate the complete microsurgical workflow, and their validation methods vary widely, limiting generalizability. The review recommends developing a standardized, comprehensive, and cost-effective simulation model that incorporates advanced haptic feedback and detailed anatomical features. Future research should focus on creating a universal validation framework to reliably assess simulation efficacy and ensure that neurosurgical trainees receive consistent, high-quality training experiences.

Indexed as

Intracranial AneurysmNeurosurgical ProceduresSimulation TrainingClinical CompetenceComputer SimulationHumansMicrosurgeryVirtual Reality

Identifiers

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.