Evidence map›Paper›PMID 42829671›Full record

ArticleSurgical neurology international2026

Evaluating educational outcomes of a structured virtual neurosurgical teaching program: The foundations in neurosurgery education study.

Daniel Robinson, Bunmi Adedotun, Godswill Uzoechina, Joanne Igoli

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.

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

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

4 authors.

Daniel Robinson *Department of Neurosurgery, Queens Medical Centre, Nottinghamshire, United Kingdom.
Bunmi Adedotun *Department of Neurosurgery, University Hospitals Plymouth NHS Trust, Devon, United Kingdom.
Godswill UzoechinaUniversity of Nigeria, University of Nigeria Teaching Hospital, Enugu, Nigeria.
Joanne IgoliDepartment of Neurosurgery, James Cook University Hospital, South Tees Hospitals NHS Trust, North Yorkshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Access to neurosurgical education remains limited by geographic, institutional, and financial barriers. Virtual education offers a scalable approach, yet robust evaluations of structured programs remain limited. Methods: This prospective observational study evaluated the foundations in neurosurgery education (FINE) 2025/26 program, a 4-month international virtual teaching series comprising nine structured sessions delivered under the auspices of the Surgical Interest Group of Africa Neurosurgery Division. Pre- and post-program surveys assessed participant confidence, career interest, and educational value using five-point Likert scales. Within-session confidence changes were analyzed using Wilcoxon signed-rank tests with Bonferroni correction; pre-post-series comparisons used Mann-Whitney U-tests. Qualitative feedback underwent thematic analysis. Results: A total of 213 participants completed the pre-series survey and 54 the post-series evaluation, with 518 session-level responses recorded. Within-session confidence improved significantly across all nine sessions (mean gain Δ = +1.29; all Conclusion: A structured, longitudinal virtual neurosurgical program significantly improved learner confidence, perceived preparedness, and understanding of training pathways. This model represents an effective and scalable approach to enhancing neurosurgical education and addressing disparities in early specialty exposure globally.

Indexed as

Career interestConfidenceNeurosurgerySurgical educationVirtual education

Identifiers

PMID42829671
PMCPMC13633615

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.