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Myofascial pain syndrome

2015· article· en· W2336065298 on OpenAlexaboutno aff
Л. Б. Новикова, A. P. Akopyan

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFibromyalgiaAnxietyDepression (economics)Myofascial pain syndromePhysical therapyHospital Anxiety and Depression ScaleMcGill Pain QuestionnaireChronic painPsychiatryVisual analogue scalePathologyAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To analyze clinical characteristics of pain syndrome in patients with dorsalgia. MATERIAL AND METHODS: Authors studied 43 patients (mean age 41.9±1.2 years), 34 women and 9 men, with acute and subacute chronic back pain. The study included neurological examination, MRI and/or CT of the spine, measurement of anxiety and depression with the Hospital Anxiety and Depression Scale (HADS), The Brief Pain Inventory (BPI) and the McGill Pain Inventory. RESULTS AND CONCLUSION: Chronic myofascial pain syndrome (MFPS) was frequently associated with anxiety-depressive disorders found in patients with cervical and cervical/pectoral pain, fibromyalgia with minimal neurological symptoms and no signs of neural structure compression according to MRI and CT. The results of the study of chronic MFPS should be taken into account in the choice of tactics of treatment of MFPS patients. The use of amelotex in the combination with compligam B in patients with dorsopathy and MFPS is effective together with correction of emotional disorders and treatment with chondroprotectors.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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.

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

Citations12
Published2015
Admission routes1
Has abstractyes

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