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Record W1490614896 · doi:10.5772/30509

Contribution of Inflammation to Chronic Pain Triggered by Nerve Injury

2012· book-chapter· en· W1490614896 on OpenAlexaff
Stefania Echeverry, S.H. Lee, Tony K.Y. Lim, J. Zhang

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsNerve injuryMedicineInflammationChronic painNeurosciencePhysical therapyAnesthesiaPsychologyInternal medicine

Abstract

fetched live from OpenAlex

An injury to a peripheral nerve can be a slight stretch, a compression or a severe laceration. Such damage usually leads to an acute phase response characterized by nociceptive pain, inflammation and restriction of normal function. However, in about 7%-18% of the general population, pain persists, even after the injury healing, producing a state of chronic neuropathic pain. This type of hypersensitivity is debilitating and refractory to the majority of available analgesics. It adversely affects quality of life and bears a substantial cost to society. In the last two decades, compelling evidence strongly suggested that, in addition to changes in neuronal system, pathogenesis of neuropathic pain involves the interaction between the immune system and the nervous system. Inflammatory process alters local homeostasis and impairs neuronal function. In this chapter, we primarily focus on the evidence with experimental animal models obtained from our laboratory and from literature to highlight inflammatory reaction along the pain pathway (from damaged nerve to the spinal cord), and the critical role of this reaction in the development and maintenance of neuropathic pain. We also discuss the current progress and challenges of translating the inflammation related new targets into therapeutics.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.013
GPT teacher head0.259
Teacher spread0.246 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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