MétaCan
Menu
Back to cohort
Record W417196292

Клинико-неврологическая характеристика пациентов с отраженной соматической болью в спине на пояснично-крестцовом уровне

2013· article· ru· W417196292 on OpenAlexaboutno aff
Наталия Сергеевна Николаева, Danilov Ab

Bibliographic record

VenueНеврология, нейропсихиатрия, психосоматика · 2013
Typearticle
Languageru
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMcGill Pain QuestionnaireAllodyniaNociceptionVisual analogue scaleTonic (physiology)SensationPhysical therapyNeuropathic painReferred painVisceral painPathologicalConstipationAnesthesiaHyperalgesiaSurgeryInternal medicinePsychology
DOInot available

Abstract

fetched live from OpenAlex

Referred pain is a painful sensation in the peripheral regions during pathological processes in deep tissues or viscera. There are two types of referred pain: 1) somatic referred pain (from spinal structures to adjacent areas); 2) visceral referred pain (from pelvic and abdominal viscera). Patients and methods. The investigation enrolled 80 patients with nonspecific chronic and subacute lumbosacral spine pain. All the patients underwent standard neurological examination. Pain intensity was determined on a visual analog scale (VAS) using the DN4, PainDETECT, and short-form McGill questionnaires; the wind-up phenomenon was evaluated; the degree of muscular tonic syndrome was estimated applying the Khabirov questionnaire. The health-activity-mood (HAM), SF-36, and Roland-Morris questionnaires were used to assess quality of life. Results. Somatic referred pain was found in 62% of the examinees. In these patients, the clinical picture showed a set of characteristics for neuropathic (allodynia (31%), hyperesthesia (12%), and nociceptive (grades 1 and 2 muscular tonic syndrome 41 and 59%, respectively) pain; a high wind-up index was noted in 89% of the patients.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.008
GPT teacher head0.263
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 designObservational
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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueНеврология, нейропсихиатрия, психосоматикаSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207