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Efficacy of hypertonic dextrose (prolotherapy) in early knee osteoarthritis: a short term outcome

2024· article· en· W4403794392 on OpenAlexaboutno aff
Anshul Sethi, Muzaffar Mushtaq, Pankaj Dagar, Abdul Basit, Owais A Qureshi

Bibliographic record

VenueInternational Journal of Research in Orthopaedics · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsProlotherapyMedicineOsteoarthritisSurgeryTerm (time)Alternative medicinePathology

Abstract

fetched live from OpenAlex

Background: Knee osteoarthritis (OA) is a prevalent, painful, and progressive condition significantly affecting patients' quality of life and imposing a social and economic burden. Traditionally managed through symptom relief and joint function improvement, research is increasingly focusing on disease-modifying treatments. Dextrose prolotherapy, a low-cost alternative involving the injection of a hypertonic solution, has shown promise despite limited acceptance in current guidelines. Methods: This prospective cohort study, approved by the Institutional Ethical Board of Jamia Hamdard University, assessed the effects of 12.5% hypertonic dextrose prolotherapy in 92 patients with knee OA. Patients received injections at multiple sites over a 6-week period. Outcomes were evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and visual analog scale (VAS) scores at baseline, 4, 8, 16, and 24 weeks. Results: Significant improvements were observed in both WOMAC and VAS scores. WOMAC scores decreased from 53.83 to 26.70 (p<0.0001), and VAS scores dropped from 7.12 to 3.06 (p<0.0001) at the 24-week follow-up. No major complications were noted, with minimal adverse effects reported. Improvement was consistent across all OA grades. Conclusions: Dextrose prolotherapy demonstrated substantial, sustained improvements in pain and function in knee OA patients. Given its safety, low cost, and efficacy, it represents a viable therapeutic option, especially in resource-constrained settings. Further high-quality randomized controlled trials are needed to confirm these findings and optimize treatment protocols.

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)0.002
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 score0.201
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.454
Teacher spread0.369 · 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
Published2024
Admission routes1
Has abstractyes

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