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Record W4323049138 · doi:10.4314/tjpr.v21i11.25

Screening of therapeutic potentials of proprioceptive exercises and topical glucosamine sulfate on pain and functional disability in knee osteoarthritis

2023· article· en· W4323049138 on OpenAlexaboutno aff
Hifza Arif, Nimra Arif, Noshaba Kanwal, Humera Tahir, Izhaan Akmal, Shaukat Hussain Munawar, Muhammad Omer Iqbal

Bibliographic record

VenueTropical Journal of Pharmaceutical Research · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACProprioceptionPhysical therapyMedicineRandomized controlled trialGlucosamineKnee painPhysical medicine and rehabilitationInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Purpose: To compare the effects of proprioceptive exercises and topical glucosamine sulfate on knee osteoarthritis in terms of reducing pain and functional disability. Methods: A single-blinded randomized clinical trial (IRCT20220115053712N1) was conducted at Muhammad Physical Therapy Clinic and Rehabilitation Center, Multan, Pakistan, from November 2021 to April 2022. Eighty-four patients enrolled and were randomized into two groups; patients in Group A were treated with proprioceptive exercises while those in Group B were treated with topical glucosamine sulfate. The Numerical Pain Rating Scale (NPRS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale were used to measure pain and functional activities at baseline, 9th and 18th sessions. Results: The results showed that both interventions were effective, but more in Group A (p < 0.05). Group A also showed highly significant improvement in relieving the pains associated with osteoarthritis when compared to Group B (p ≤ 0.001). Conclusion: Proprioceptive exercises are more efficient than topical glucosamine sulfate for managing knee osteoarthritis, improving functional outcomes and lowering pain intensity.

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)0.001
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 score0.754
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.131
GPT teacher head0.413
Teacher spread0.282 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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