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Record W4405196276 · doi:10.55730/1300-0144.5913

Evaluation of the efficacy of transfer energy capacitive and resistive therapy in patients with knee osteoarthritis

2024· article· en· W4405196276 on OpenAlexaboutno aff
Özge Tezen, Emine Esra Bilir, Öznur Uzun, Duygu Yaniktaş, Evren Yaşar

Bibliographic record

VenueTURKISH JOURNAL OF MEDICAL SCIENCES · 2024
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisIsometric exercisePhysical therapyVisual analogue scaleRange of motionKnee JointSurgery

Abstract

fetched live from OpenAlex

Background/aim: This study aimed to compare the therapeutic efficacy of conventional physical therapy (CPT) methods for knee osteoarthritis (OA) and transfer energy capacitive and resistive (TECAR) therapy, a relatively new and increasingly used treatment modality, based on patient clinical outcomes assessments. Materials and methods: Two groups of 54 patients, aged 40 to 75, were randomly assigned. CPT was given to both groups. In addition to CPT, Group 2 underwent TECAR therapy for six sessions, three times a week for two weeks. The Western Ontario and McMaster Universities Arthritis Index (WOMAC) was used to measure the disability and pain levels of each patient before and at the end of treatment and at 1 month and 3 months. Additionally, goniometric measurements of each patient's knee joint range of motion and isometric quadriceps muscle strength were taken. Results: Significant improvements were noted in the VAS, WOMAC, and isometric quadriceps strength ratings in both groups between the pre- and posttreatment follow-ups. However, there was no discernible difference between the groups. Conclusion: For the conservative treatment of OA in the knee, TECAR therapy may be a helpful therapeutic approach.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.286
Teacher spread0.261 · 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 designOther design
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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTURKISH JOURNAL OF MEDICAL SCIENCESSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207