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Record W2026129205 · doi:10.3109/14397595.2015.1038425

The effect of isokinetic and aerobic exercises on serum interleukin-6 and tumor necrosis factor alpha levels, pain, and functional activity in patients with knee osteoarthritis

2015· article· en· W2026129205 on OpenAlexaboutno aff
Gülbüz Samut, Fitnat Dinçer, Oya Özdemir

Bibliographic record

VenueModern Rheumatology · 2015
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisRheumatologyRehabilitationInternal medicineUniversity facultyPhysical therapyFamily medicineAlternative medicineMedical educationPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study is to investigate the effects of isokinetic and aerobic exercise training programs on serum pro-inflammatory cytokine levels, pain, and functional activity in patients with knee osteoarthritis (OA). METHODS: Forty-two postmenopausal women and men with knee OA according to American College of Rheumatology diagnostic criteria were included. Patients were randomized into isokinetic and aerobic exercises and control groups. In intervention groups, patients were included in predetermined exercise programs 3 times per week for 6 weeks. Severity of pain, functional activity status, muscle strength, functional capacity, and serum cytokine levels were evaluated at baseline and at the 6th week. RESULTS: At the end of 6th week, there was no statistically significant decrease in serum pro-inflammatory cytokine levels in both the exercise groups, although C-reactive protein levels exhibited a strong trend toward significance. We found a significant decrease in visual analog scale and Western Ontario McMaster Osteoarthritis Index scores, and significant increase in functional capacity and muscle strength in both the exercise groups compared with those in the control group.

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)0.000
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 score0.218
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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

Citations51
Published2015
Admission routes1
Has abstractyes

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