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Record W3159017848

무릎관절 전치환술 후 닫힌사슬 운동이 넙다리안쪽빗근의 근력과 기능활동에 미치는 영향

2017· article· ko· W3159017848 on OpenAlexaboutno aff
이경미, Jong‐Hwa Lee, 곽창섭, Won Ho Kim

Bibliographic record

Venue한국신경근육재활학회지 · 2017
Typearticle
Languageko
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWOMACPhysical therapyMedicineOsteoarthritisPhysical medicine and rehabilitationMuscle strengthRehabilitation
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the study was to identify the effects of closed chain exercise on strength of the vastus medialis obliquus (VMO) muscle and functional activities in patients with total knee replacement. 19 patients was divided by the experimental group (n=9) and control group (n=10). Experimental group was received closed chain exercise including terminal knee extension and lateral set up. Control group was received electrotherpy and continuous passive motion (CPM) for 30 min/day, 4-weeks. strength of VMO was measured by isometic contraction at knee flexion of 30° using isokinetic dynomometer. Korean-Western Ontario and McMaster University Osteoarthritis Index (K-WOMAC) was measured, There was significant difference in strength of VMO and K-WOMAC (p<.05). Comparing with control group, experimental group was more improved. Therefore, after surgery, Closed chain based strength training as early rehabilitation intervention seems to be needed for early return to the patients with total knee replacement.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.018
GPT teacher head0.324
Teacher spread0.306 · 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 designRandomized 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
Published2017
Admission routes1
Has abstractyes

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