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Record W120032109 · doi:10.82308/9071

Efficacy of epidural steroid injections in treatment of lumbar spinal stenosis

2000· dissertation· en· W120032109 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2000
Typedissertation
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
FundersUniversité de MontréalArthritis Society
KeywordsMedicinePlaceboLumbar spinal stenosisSpinal stenosisPhysical therapyAnalysis of varianceLumbarAnesthesiaRandomized controlled trialRepeated measures designInternal consistencySurgeryPatient satisfactionInternal medicine

Abstract

fetched live from OpenAlex

Epidural steroid injections (ESI) are used as a conservative therapy for treating lumbar spinal stenosis (LSS), yet there is no concrete justification for them. Data from a randomized control trial evaluating the effectiveness of ESI in LSS patients was analyzed. Main outcomes were measured by French-translated LSS symptom severity, physical function, and satisfaction scales over 3 months. The first stage of the analyses evaluated psychometric properties of the scales and showed high internal consistency and test-retest reliability. The main analyses addressed ESI efficacy. Repeated measures analysis of variance over the first 3 months showed a marginally statistically significant improvement in symptom severity, physical function, and satisfaction in the ESI group, compared to placebo. Treatment effectiveness tended to decrease over time. Differences between groups were not significant at 6 and 12 months. All scales had a significant interaction between treatment and high blood pressure (HBP): subjects without HBP responded substantially better.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.266
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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
Published2000
Admission routes1
Has abstractyes

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Same venueeScholarship@McGill (McGill)→Same topicHermeneutics and Narrative Identity→French-language works237,207→