MétaCan
Menu
Back to cohort
Record W2155461473 · doi:10.5812/aapm.27585

The Effects of Prolotherapy With Hypertonic Dextrose Versus Prolozone (Intraarticular Ozone) in Patients With Knee Osteoarthritis

2015· article· en· W2155461473 on OpenAlexaboutno aff
Masoud Hashemi, Parviz Jalili, Shirin Mennati, Alireza Koosha, Ramin Rohanifar, Firouz Madadi, Seyed Sajad Razavi, Farinaz Taheri

Bibliographic record

VenueAnesthesiology and Pain Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProlotherapyOsteoarthritisTonicityOzone therapyAnesthesiaSurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Knee osteoarthritis (KOA) is a common disabling disease. Limited studies have demonstrated that prolotherapy with dextrose or with prolozone can be helpful in the treatment of patients with KOA. OBJECTIVES: In the current study, we compared the results between these two treatment methods. PATIENTS AND METHODS: In the current randomized clinical trial, 80 patients with mild to moderate KOA were randomly assigned equally into two groups (ozone group and dextrose group). In each group, injections were repeated three times with 10-day intervals. Before the treatment and 3 months after the injections, the pain intensity was measured by using a visual analogue scale and the Western Ontario and McMaster university arthritis index scores. Finally, the results were compared between the two groups. RESULTS: In the two groups, the pain intensity and WOMAC scores significantly decreased and increased, respectively (P < 0.001). However, there was no significant difference between the two groups. CONCLUSIONS: Prolotherapy with dextrose and with prolozone result in the same pain relief or functional improvement in patients with mild to moderate KOA.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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 designNon-randomized trial
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

Citations91
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAnesthesiology and Pain MedicineSame topicMedical and Biological Ozone ResearchFrench-language works237,207