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Record W4414190401 · doi:10.22514/jofph.2025.042

Integration of nociceptive activity from orofacial, cranial and cervical regions in the trigeminocervical nucleus: a scoping review with clinical implications

2025· review· en· W4414190401 on OpenAlexaff
Felix Pankrath, Elisa Bizetti Pelai, Ana Izabela Sobral de Oliveira‐Souza, Fatemeh Baghbaninaghadehi, Liz Dennett, Peter Svensson, Harry von Piekartz, Susan Armijo‐Olivo

Bibliographic record

VenueJournal of Oral & Facial Pain and Headache · 2025
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsUniversity of AlbertaIzaak Walton Killam Health CentreCapital District Health Authority
Fundersnot available
KeywordsNociceptionConnection (principal bundle)Occipital nerve stimulationCervical NerveCluster headacheLocal anaestheticMigraine

Abstract

fetched live from OpenAlex

A connection between orofacial, cranial and cervical regions has been documented through the trigeminocervical nucleus (TCN), but the predominant direction (orofacial/cranial-to-cervical or cervical-to-orofacial/cranio) of this connection still remains unclear. This scoping review was designed to determine the dominant direction of the connection between these two areas. Searches were conducted by combining these concepts: TCN, cervical and face/jaw/head region. Eighty-three studies were included. The most predominant direction was reported to be from the orofacial/cranial to the cervical region, with most of the studies conducted in mammals. The clinical implications of these findings for the spread and referral of pain between these regions are examined and discussed.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0100.012
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.141
GPT teacher head0.460
Teacher spread0.318 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes1
Has abstractyes

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