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Record W4391169241 · doi:10.1227/neu.0000000000002850

Letter: Functional Neurosurgery—A Neglected Aspect of Global Neurosurgery: Call to Action

2024· letter· en· W4391169241 on OpenAlexaff
Konstantin V. Slavin, Jean Régis, Mojgan Hodaie, Paresh K. Doshi, Patric Blomstedt, Jin Woo Chang

Bibliographic record

VenueNeurosurgery · 2024
Typeletter
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineNeurosurgeryCall to actionAction (physics)NeuroscienceSurgery

Abstract

fetched live from OpenAlex

To the Editor: The leadership of the World Society for Stereotactic and Functional Neurosurgery (WSSFN) read with interest the recently published letter “Functional Neurosurgery—A Neglected Aspect of Global Neurosurgery: Call to Action” by Kundu et al.1 We do agree with the authors that the development of functional neurosurgery in low- and middle-income countries (LMICs) poses a challenge and is of the highest importance considering the growing need. There are about 50 000 neurosurgeons worldwide, but far from evenly distributed. There is further an unmet need, and it is estimated that 23 000 additional neurosurgeons would be needed simply to cover an additional 5 000 000 procedures that should be performed each year.2 This unmet need is of course larger in LMICs and, in relative terms, probably more pronounced regarding functional procedures.3 WSSFN is fully aware of this global challenge and has an agenda that addresses it in a number of ways: To achieve a truly global reach, the WSSFN has recently created a mutual benefit program with a closer collaboration with continental and regional societies such as the Indian, Chinese, Middle Eastern, South American, and many other societies for stereotactic and functional neurosurgery. With this initiative, the members of the associated societies have become WSSFN members, allowing them to gain full access to our educational resources (including our journal Stereotactic and Functional Neurosurgery) and network. Many educational activities, courses and symposia, are regularly undertaken by the associated societies, and WSSFN supports education in its own capacity. We are providing travel grants and training workshops at the premier world gatherings in stereotactic and functional neurosurgery, including those at our biannual congresses (https://wssfn2024.org) and interim meetings (https://wssfn2023.com), offering the attendees a wide spectrum of educational activities. Our society is also directly endorsing a number of courses, often aimed at LMICs (https://www.cadavercourse.org). We have been providing free educational webinars (https://www.wssfn.org/webinars) by leading experts, and more than 25 courses and 250 lectures covering virtually every aspect of clinical importance in stereotactic surgery are available free of charge at the Stereotactic Academy (https://www.stereotactic.org), some of which are translated to other languages with the specific intent of overcoming the often significant language barriers. Perhaps even more importantly, the WSSFN is providing a worldwide meeting ground. Our committees and task forces are working to establish consensus on a global scale and practical guidelines that might be of great value at a local level.4 Furthermore, our events enable the personal meetings between colleagues from different parts of the world, which are often of crucial importance to create successful collaboration between high-income countries and LMICs. Moreover, WSSFN members actively participate in mentorship initiatives by our sister societies (eg, the International Neuromodulation Society—www.neuromodulation.com) that provide one-on-one collaboration between individually linked established neurosurgeons and younger trainees and aspiring practitioners. However, with that said, it is evident that much remains to be done at a global level and that development of functional neurosurgery in LMIC poses a huge educational—and logistical—challenge. The work of WSSFN and our associated societies is based on volunteering by our members. Hence, to increase the focus on training activities, capacity building, and productive collaboration in LMICs, we would like to encourage everyone interested in this field, especially those from LMICs, to join and get involved in local stereotactic and functional neurosurgery societies, or WSSFN directly, and to work with us to meet this challenge.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.026
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0040.005
Open science0.0030.001
Research integrity0.0260.026
Insufficient payload (model declined to judge)0.0070.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.271
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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