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Record W1977665632 · doi:10.1016/s1090-3801(03)00047-8

Secondary hyperalgesia and presynaptic inhibition: an update

2003· review· en· W1977665632 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Pain · 2003
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsAstraZeneca (Canada)McGill University
Fundersnot available
KeywordsAntidromicHyperalgesiaNeuroscienceNociceptorSensory systemNociceptionAfferentDorsumMedicinePsychologyElectrophysiologyAnatomy

Abstract

fetched live from OpenAlex

One of the most prominent features of secondary hyperalgesia is touch-evoked pain, i.e., pain evoked by dynamic tactile stimuli applied to areas adjacent or remote from the originating injury. It is generally accepted that the neurobiological mechanism of this sensory alteration involves the central nervous system (CNS) so that incoming impulses in low-threshold mechanoreceptors from the area of secondary hyperalgesia can evoke painful sensations instead of touch. Some years ago we proposed a mechanistic model for this form of pain based on presynaptic interactions in the spinal dorsal horn between the terminals of low-threshold mechanoreceptors and of nociceptors. Here we review the evidence gathered in support of this model in the intervening years with special reference to experimental studies of antidromic activity (Dorsal Root Reflexes--DRRs) in nociceptive afferents and on the acquisition of low-threshold inputs by nociceptor-specific neurons in the spinal dorsal horn. We also discuss and identify potential molecular mechanisms that may underlie the presynaptic interaction model and therefore that could be responsible for the development of secondary hyperalgesia.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.300
Teacher spread0.261 · 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