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Record W6981205073

Diz Osteoartritinde Klasik Fizyoterapi ve Farklı Nöromusküler Fasilitasyon Tekniklerinin Ağrı, Eklem Hareket Açıklığı, Kas Kuvveti, Propriosepsiyon, Postüral Kontrol, Diz Fonksiyonları ve Fonksiyonel Performans Üzerine Olan Etkilerinin Karşılaştırılması

2020· dissertation· en· W6981205073 on OpenAlexaboutno aff

Bibliographic record

VenueHacettepe University Institutional Repository (hacettepe.edu.tr) · 2020
Typedissertation
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisRange of motionProprioceptionStair climbingRehabilitationMuscle strengthBalance (ability)
DOInot available

Abstract

fetched live from OpenAlex

Gökşen, A., Comparison of Effectiveness of Classical Physiotherapy and Different 'Proprioceptive Neuromuscular Facilitation' Techniques on Pain, Proprioception, Postural Control, Muscle Strength, Joint Range of Motion and Knee Functions in Knee Osteoarthritis; Hacettepe University, Institute of Health Sciences, Physical Therapy and Rehabilitation Program, Ph.D. Thesis, Ankara, 2020. This study was conducted to compare the effects of classical physiotherapy and different 'Proprioceptive Neuromuscular Facilitation (PNF)' techniques on pain, proprioception, postural control, muscle strength, muscular endurance, range of motion (ROM), knee functions and functional performance in knee osteoarthritis (OA). The study included 35 patients between the ages of 47 and 62 who were diagnosed with stage 1-2 KOA. The patients were divided into three groups with block randomization method as Classical Physiotherapy Group (n = 12), PNF-1 Group (n = 12) with Repeated Stretching (TG) Technique, PNF-2 Group (n = 11) with Combined Isotonic Contractions (ICC) technique. PNF was applied to all patterns of the lower extremity in full pattern and patients in all groups were treated for 6 weeks, 3 days a week. ROM with ''Goniometer'', knee pain with ''Visual Analogue Scale'' and ''Algometer'', muscle strength, muscle endurance and proprioception with '' Biodex®System Pro3''; postural control with "Berg Balance scale" and "Biodex®System Pro3 (Biodex Corp. Shirley NY, USA)"; Knee functions with ''Knee injury and Osteoarthritis Outcome Score'' and '' Western Ontario and McMaster Universities Osteoarthritis Index'', functional performance related to the knee with '' Time to Walk (TUG) '', "6 Minute Walk Test" and "Step Climbing Test (BTT)" was evaluated before and after the treatment. Functional performance and knee extensor muscle strength with CIC technique showed more improvement than the other methods and CIC showed more improvement compared to the classical physiotherapy in terms of knee joint position sensation evaluated at 60 ° (p <0.05). Both PNF methods were superior to the classical physiotherapy in terms of pain parameter related to knee function, muscular endurance, mediolateral balance with eyes open and total balance score (p <0.05). In conclusion, all methods were effective in patients with early-stage knee osteoarthritis; however, it was seen the most effective results was obtained by PNF using CIC technique.

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)0.000
metaresearch head score (Gemma)0.000
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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.008
GPT teacher head0.188
Teacher spread0.181 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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