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Record W2151494512 · doi:10.1136/bjsm.2007.042044

The use of prolotherapy in the sacroiliac joint

2008· article· en· W2151494512 on OpenAlexaboutno aff
Mel Cusí, Jennifer Saunders, Barbara Hungerford, T. Wisbey-Roth, Peter Lucas, Sara E. Wilson

Bibliographic record

VenueBritish Journal of Sports Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsProlotherapyMedicineSacroiliac jointPhysical therapyPhysical examinationLow back painSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: In this study the effectiveness of prolotherapy in the treatment of deficient load transfer of the sacroiliac joint (SIJ) was determined. DESIGN: A prospective descriptive study. SETTING: Authors' private practice. PARTICIPANTS: 25 patients who consented to treatment and attended for at least one follow-up visit and assessment. STUDY PERIOD: From April 2004 to July 2007. INTERVENTION: Three injections of hypertonic dextrose solution into the dorsal interosseous ligament of the affected SIJ, under CT control, 6 weeks apart. MAIN OUTCOME MEASURES: Quebec Back Pain Disability Scale, Roland-Morris 24, Roland-Morris 24 Multiform questionnaires and clinical examination by two authors independently. RESULTS: All patients included in this study attended at least one follow-up visit at 3, 12 or 24 months.. The number of patients at follow-up decreased at 12 and 24 months. Functional questionnaires demonstrated significant improvements for those followed-up at 3, 12 and 24 months (p<0.05). Clinical scores showed significant improvement from commencement to 3, 12 and 24 months (p<0.001). CONCLUSIONS: This descriptive study of prolotherapy in private practice has shown positive clinical outcomes for the 76% of patients who attended the 3-month follow-up visit (76% at 12 months and 32% at 24 months). Similar results were found in the questionnaires (Quebec Back Pain Disability Scale, Roland-Morris 24 and Roland-Morris 24 Multiform questionnaires) at 3, 12 and 24 months.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.075
GPT teacher head0.290
Teacher spread0.215 · 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

Citations100
Published2008
Admission routes1
Has abstractyes

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