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Record W2591915079

Психоэмоциональные расстройства у пациентов с хроническими болевыми синдромами пояснично-крестцовой локализации

2016· article· ru· W2591915079 on OpenAlexaboutno aff
Романенко Владимир Игоревич

Bibliographic record

VenueМеждународный неврологический журнал · 2016
Typearticle
Languageru
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDepression (economics)PsychologyMedicineBeck Depression InventoryBeck Anxiety InventoryAnxiety scorePhysical therapyPsychiatryClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

The aim of the study — to examine the peculiarities of psychoemotional disorders in groups of patients with chronic low back pain according to The Quebec Task Force Classification for Spinal Disorders (QTFCSD). Materials and methods. 103 patients with chronic vertebrogenic low back pain (CVLBP) and 30 apparently healthy subjects were examined. According to the results of clinical and neurological examination, all patients were divided into groups that met the first four groups of QTFCSD. In order to study psychoemotional disorders, a survey was conducted using Spielberger test modified by Khanin and Beck inventory. Results. In the group of patients with CVLBP, we observed higher levels of reactive and personal anxiety, depression compared to the control group. Thus, the average score of reactive anxiety was 51 (47; 58), personal anxiety — 44 (41; 50), depression — 4 (3; 7) points. When dividing the patients into groups according to QTFCSD, the highest values of reactive (56 (49.5; 61.5)) and personal (47 (41.5; 51.5)) anxiety, as well as depression (6 (4; 9)) were in group IV. Levels of personal anxiety and depression significantly (P anxiety and depression of varying degree, for detection of which it’s appropriate to carry out a comprehensive clinical and psychological examination. The study of anxiety and depression indicators allows us to individualize the approach to the treatment that will improve the psychoemotional and social status of 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 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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0400.028

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 head0.052
GPT teacher head0.300
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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