Clinical Relevance of Epidural Steroid Injections on Lumbosacral Radicular Syndrome-related Synptoms
Bibliographic record
Abstract
OBJECTIVES: Epidural steroid injections (ESIs) can be used to reduce lumbosacral radicular syndrome (LRS) related pain. The clinical relevance of ESIs are currently unknown. This systematic review and meta-analyses aims to assess whether ESIs are clinically relevant for patients with LRS. MATERIALS AND METHODS: Comprehensive literature searches for randomized controlled trials regarding steroid injections for LRS were conducted in PudMed, EMBASE, CINAHL, and CENTRAL from their inception to September 2018 (December 2019 for PubMed). For each homogenous comparison, the outcomes function, pain intensity and health-related quality of life at different follow-up intervals were pooled separately. The GRADE approach was used to determine the overall certainty of the evidence. RESULTS: Seventeen studies were included. Two different homogenous comparisons were identified for which the randomized controlled trials could be pooled. In 36 of the 40 analyses no clinically relevant effect was found. The certainty of evidence varied between very low to high. Four analyses found a clinically relevant effect, all on pain intensity and health-related quality of life, but the certainty of the evidence was either low or very low. Two of the 33 subgroup analyses showed a clinically relevant effect. However, according to the GRADE approach the certainty of these findings are low to very low. DISCUSSION: On the basis of the analyses we conclude there is insufficient evidence that ESIs for patients with LRS are clinically relevant at any follow-up moment. High-quality studies utilizing a predefined clinical success are necessary to identify potential clinically relevant effects of ESIs. Until the results of these studies are available, there is reason to consider whether the current daily practice of ESIs for patients with LRS should continue.
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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 | 0.021 | 0.071 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.021 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".