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Record W2901905930 · doi:10.22271/ortho.2018.v4.i4g.64

A Comparative study to evaluate the effectiveness of lumbar epidural local anaesthetic injection with or without corticosteroid in managing chronic low back pain

2018· article· en· W2901905930 on OpenAlexaboutno aff
Sandeep Ingle, Sanjay Bharti

Bibliographic record

VenueInternational Journal of Orthopaedics Sciences · 2018
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLocal anaestheticAnesthesiaVisual analogue scaleBupivacaineLocal anestheticLumbarAdverse effectEpidural spaceEpidural steroid injectionSurgeryLow back pain

Abstract

fetched live from OpenAlex

The aim was to compare and evaluate the effectiveness of lumbar epidural local anaesthetic injections with and without corticosteroids in managing low back pain. We studied a 100 patients to assess effectiveness of epidural injections with local anaesthetics (bupivacaine 0.25%) with or without steroids with regards to subjective outcomes as per pain relief by using VAS (visual analogue scale) and McGill Pain Questionnaire and objective outcomes (assessed by Straight Leg Raising test [SLR]) at the same time points - baseline prior to treatment, 3 hours after epidural injection, at 6 weeks, at 3 months. The adverse effects or complications of epidural injection, if any were noted. We concluded that the inclusion of steroids did not provide any additional benefit compared with injection of local anesthetic alone. However epidural steroid should be considered before surgical intervention. After early adequate pain control, rehabilitation can be effective and function can be restored.

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)0.007
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 score0.057
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.349
Teacher spread0.318 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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