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Record W2087971098 · doi:10.1159/000268115

Visceral versus Somatic Pain: Similarities and Differences

2009· article· en· W2087971098 on OpenAlexaff
Fernando Cerveró

Bibliographic record

VenueDigestive Diseases · 2009
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsIrritable bowel syndromeVisceral painMedicineNociceptorSensitizationNociceptionHyperalgesiaInflammatory bowel diseaseSensory systemDiseaseHormoneInternal medicineNeuroscienceReceptorImmunologyPsychology

Abstract

fetched live from OpenAlex

Inflammatory bowel disease and the irritable bowel syndrome are conditions characterized by chronic pain that generates persistent, hyperalgesic states in many regions of the body. It is difficult to explain the pain of conditions such as inflammatory bowel disease and irritable bowel syndrome by extrapolating directly from what is known about the mechanisms of somatic pain. Visceral and somatic pain show many differences not only in the psychophysics of the sensation, but also in the neurobiological mechanisms that mediate the sensory process. The activation and sensitization of visceral nociceptors are heavily influenced by the secretory and motor properties of the microenvironment where the sensory receptors are located. In some cases, epithelial cells can play a direct role in the activation of primary sensory neurons. Subclinical alterations of the epithelium can contribute to enhanced visceral sensitivity. Central hypersensitivity induced by visceral activation also shows differences with its somatic counterpart. Mobilization of AMPA receptors from the cytosol to the membrane of nociceptive neurons has been identified as a mechanism of sensitization of visceral pain pathways. Finally, functional pain syndromes, such as irritable bowel syndrome could be triggered or maintained by hormonal alterations, particularly those involving sex hormones such as estrogen.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.276
Teacher spread0.255 · 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
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

Citations101
Published2009
Admission routes1
Has abstractyes

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