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Clinical analysis of qualitative and quantitative pain characteristics in patients with acute and chronic vertebrogenic lumbosacral pain syndromes

2023· article· en· W4387235930 on OpenAlexaboutno aff
Andrii R. Kulyk, Анжеліка Володимирівна Паєнок

Bibliographic record

VenueUkrains kyi Visnyk Psykhonevrolohii · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeuropathic painChronic painMcGill Pain QuestionnairePhysical therapyVisual analogue scaleAcute painLumbarBack painAnesthesiaSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

Diverse approaches exist for diagnosing and treating patients afflicted with acute and chronic low back pain syndromes (LBP), thereby necessitating a comprehensive evaluation of the pain syndrome and a meticulous analysis of the neuropathic component to enhance our scholarly comprehension of the distinct differences in pain progression among these individuals. A total of 125 individuals (56 females and 69 males) diagnosed with vertebral lumbar pain syndromes (LBP), aged between 20 and 68 years (42.8 ± 11.1 years), underwent comprehensive evaluation. Stratification into two distinct groups was based on the duration of the pain syndrome: an acute pain group (pain lasting up to 3 months) and a chronic pain group (pain persisting beyond 3 months). Pain assessment, administered upon hospitalization, involved utilizing of well-established tools such as the Visual Analogue Scale (VAS), DN4 Questionnaire, and McGill Pain Questionnaire. The initial pain intensity, measured by VAS upon admission, was recorded as 7.15 ± 1.17 in the acute pain group and 6.08 ± 0.96 in the chronic pain group. Analysis of responses to the DN4 questionnaire revealed that patients with acute pain syndrome obtained an average score of 2.26 ± 1.01, whereas those in the chronic pain group scored 4.53 ± 1.02. The presence of a neuropathic component was identified in 38 % of patients with acute pain and 56 % of patients with chronic pain. Correlational analyses indicated a weak positive correlation (r = 0.12, p < 0.05) between VAS scores and the assessment of neuropathic pain using the DN4 questionnaire in the acute pain group. However, the chronic pain group observed a moderate positive correlation (r = 0.41, p < 0.001). Patients experiencing chronic LBP expressed their pain sensations in a more emotionally descriptive manner. Notably, the chronic pain group exhibited a statistically significant elevation in the number of selected descriptors according to the Index of Chosen Descriptors (ICD) on the sensory scale, as well as an increased Pain Rank Index (PRI) on both sensory and affective scales, compared to the acute pain group. To summarize, individuals with chronic LBP exhibit a more prevalence of the neuropathic component. Moreover, patients in the chronic pain group demonstrated higher scores indicative of sensory and psychosocial aspects of pain. Key words: acute pain, chronic pain, neuropathic component of pain, verbal descriptors, McGill Pain Questionnaire

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)0.005
metaresearch head score (Gemma)0.002
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 score0.020
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.030
GPT teacher head0.376
Teacher spread0.347 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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