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Effectiveness of local injective therapy use for lumbosacral pain syndromes

2020· article· en· W3044323808 on OpenAlexaboutno aff
В. В. Андреев, Е. Р. Баранцевич, A. I. Sychev

Bibliographic record

VenueThe Scientific Notes of the Pavlov University · 2020
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVisual analogue scaleLumbosacral jointMcGill Pain QuestionnairePlaceboAnesthesiaLocal anestheticSurgeryPhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

The objective of the study was to assess the effectiveness of local injection therapy in patients with lumbosacral pain during medical blockades. Methods and materials. The results of treatment of compressive lumbosacral radiculoischemia were studied in prospective trial with placebo control. One of the most valuable criteria of medical effectiveness was decrease of pain intensity by visual analog scale and McGill’s questionnaire. 58 patients were included in the study. Comparison between the groups was carried out depending on the treatment: first group was treated with combination of anesthetic with corticosteroids (diprospan), second group – only anesthetic. Rate of pain decrease was assessed during the first day and for 14 days. Results. In patients with lumbosacral pain treated with combination of anesthetic with corticosteroids, decrease of pain intensity was obtained by visual analog scale and McGill’s questionnaire point. Local corticosteroids use was the most effective with effect in a short time – during the first 24 hours. Conclusion. Short course of local injection therapy had high effectiveness in patients with lumbosacral pain syndrome.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.250
Teacher spread0.221 · 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 designBench or experimental
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

Citations3
Published2020
Admission routes1
Has abstractyes

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