MétaCan
Menu
Back to cohort
Record W2602157794 · doi:10.17816/pmj31234-38

BACK PAINS AND EMOTIONAL DISORDERS IN ADOLESCENTS WITH IDIOPATHIC SCOLIOSIS

2014· article· en· W2602157794 on OpenAlexaboutno aff
S V Muraviev, Муравьев Сергей Владимирович

Bibliographic record

VenuePerm Medical Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineScoliosisIdiopathic scoliosisAnxietyPhysical therapyDepression (economics)Visual analogue scaleSurgeryPsychiatry

Abstract

fetched live from OpenAlex

Aim. To study the peculiarities of pain syndrome in adolescent idiopathic scoliosis. Materials and methods. Back pains in idiopathic scoliosis were analyzed in 98 patients aged 12-16. The control group consisted of 12 practically healthy persons. Computer optic topography, Visual Analogous Pain Scale, McGill Pain Questionnaire, Spielberger-Khanin Anxiety Scale, Beck and Zung Depression Scales were used. Statistical processing of the results was carried out by means of nonparametric Mann-Whitney test with Statistica 8.0 package for Windows. Results. Moderate and mild pain of bursting character in case of physical load and long static tension was stated among subjects with degrees I and II idiopathic scoliosis. However, among girls sensor and affective components of pain syndrome were more marked. Besides, in women statistically significant rise in reactive anxiety was established. No depression in adolescents suffering from idiopathic scoliosis was detected. Conclusion. Back pain in patients with idiopathic scoliosis is developing at the first stages of disease with subsequent reduction and is accompanied by increase in the level of reactive anxiety, predominantly, among men.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePerm Medical JournalSame topicScoliosis diagnosis and treatmentFrench-language works237,207