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Record W2315871750 · doi:10.2174/138920111798357249

Targeting Voltage-Gated Sodium Channels for Treating Neuropathic and Inflammatory Pain

2011· review· en· W2315871750 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

VenueCurrent Pharmaceutical Biotechnology · 2011
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsXenon Pharmaceuticals (Canada)
Fundersnot available
KeywordsNeuropathic painSodium channelSodium channel blockerMedicineKey (lock)PharmacologyIntensive care medicineSodiumComputer scienceChemistry

Abstract

fetched live from OpenAlex

Voltage-gated sodium channels (NaV) are well validated targets for treating pain based both on human genetics and clinical experience. Consequently, there is an extensive literature on sodium channels for the treatment of pain and a number of excellent and thorough reviews have recently appeared; a selection of these is provided. This review does not attempt to evaluate all aspects of the studies in this area, but rather will focuses on several key issues that are incompletely addressed in prior reviews or that represent very recent additions to the literature. Key questions that arise are: 1) How much channel block is required to observe efficacy against neuropathic or inflammatory pain? 2) How can one improve upon the therapeutic index of previously tested NaV blockers? Keywords: Analgesia, NaV, pain, voltage-gated sodium channel, channel block, efficacy, neuropathic or inflammatory pain, therapeutic index, ANALGESIC ACTIVITY, inflammed tissue, PET ligands

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.099
GPT teacher head0.386
Teacher spread0.287 · 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