Functional Outcomes of Fluoroscopy-Guided Intra-articular Steroids in Lumbar Facet Arthropathy: A Retrospective Comparative Study of Dexamethasone Versus Triamcinolone Acetonide
Bibliographic record
Abstract
Introduction Mechanical low back pain frequently originates from the lumbar facet joint (LFJ). Axial low back discomfort can result from osteoarthritis in the LFJ. Depending on the severity of LFJ degeneration, the effect of intra-articular (IA) LFJ corticosteroid injection may vary. For LFJ discomfort, IA block with steroids and local anaesthetics has also been utilised, with varying degrees of success. The main objective of this study was to assess the efficacy of IA steroid injections dexamethasone vs. triamcinolone acetonide for the treatment of LFJ syndrome and to compare functional outcome in terms of Visual Analog Scale (VAS) score, Modified Oswestry Disability Index (MODI) score, and short-form McGill Pain Questionnaire between the two groups. Methodology Dexamethasone 8 mg or triamcinolone acetonide 40 mg was given intra-articularly to 27 patients comprising group A and 33 patients comprising group B, respectively (total 60 patients). Before intervention and at one, three, and six months, observation was conducted using the VAS score, short-form McGill pain questionnaire, and MODI score. Results There was a significant difference between both the groups after the procedure with pain alleviation and functional improvement, more in the group that received triamcinolone acetonide. A significant difference was observed in all three parameters that assessed pain with differences more pronounced at six months. Conclusion Pain reduction and clinical outcomes were better among the group that received triamcinolone acetonide. Injection of a steroid alone is associated with its own side effects. When a lumbar transforaminal epidural injection is used to treat radiculopathy in the lumbar area, particulate medication (triamcinolone) is more effective than non-particulate medication (dexamethasone) with no known drug-related complications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".