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Record W4240849130 · doi:10.1177/2325967114s00171

The Immediate Effects of Kinesiotm Taping on Shoulder External Rotation in People with Shoulder Pain

2014· article· en· W4240849130 on OpenAlexaboutno aff
Sevgi Gamze Felek, Mesut Kartlık, Şahika Gök, Habibe Serap İnal

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineForearmPhysical therapyVisual analogue scaleRange of motionPhysical medicine and rehabilitationTest (biology)Frozen shoulderShoulder jointSurgery

Abstract

fetched live from OpenAlex

Objectives: Observing the immediate effect of KinesioTMTaping (KT) on shoulder external rotation in people with shoulder pain. Methods: The mean ages of participants (n=17;7W&10M) were 47,11± 1,28yrs, weight 72,4±13,10kg, height 1,68±0,069cm, and body mass index were 25,57±3,41kg/cm2. All were under physiotherapy with moderate degree of shoulder pain during movement and rest. They gave their own written consent to participate voluntarily to the test protocol. Their sosciodemografic features (physical features, habit of physical activity) were taken with a specially prepared questionnaire for this study. Their muscle power (JTech Myometry) and range of motion-ROM of shoulder joints were assessed before the test protocol. The active external-internal rotations were tested as before and after KT while the participants sat on a stable chair, forearm was supported on the table with as much as possible 90° of shoulder abduction within the pain limits. The hand was in supination and the line drawn on the dorsum of the hand and forearm was to nominate the longitudinal axis. The photographs of each participant were taken by IPhone 4 (Apple) in direct line just opposite to the forearm to record the last position of the forearm during shoulder rotations. An eye band and a headphone were used during the test. Through a universal on-screen digitizer (Desktop Ruler™) the goniometric measurements were double checked on the computer. Their pain was assessed through Visual Analogue Scale (VAS) and McGill Pain Questionnaire (MPQ) as before and after KT application. The disability they faced to during their daily life was assessed by Disability of Arm Shoulder and Hand Questionnaire (DASH) as before and after KT application. Y shaped KT was applied to subscapular muscles, the medial arm reaches towards the spine of scapula and the lateral arm was towards the acromion. All data were analysed statistically. The descriptive statistics were used for the physical features of the participants. Wilcoxon Signed Rank test was used for the significance of the data (p< 0.05) and Spearmen Correlation was used to understand the relation between the data. Results: KT was found effective on muscle strength; M.Subscapularis, M.Supraspinatus, M.Infraspinatus and M.Teres Minor strengths were significantly higher after KT(p< 0.05). KT also improved ROM of the shoulder external-internal rotations (p<0,05). The shoulder joint pain was decreased after KT (p<0,05) according to VAS and Pain Rate Index (PRI) of MPQ. Conclusion: The shoulder pain during external-internal rotations decreased due to the immediate effects of KT. A positive correlation was found between the data achieved by the universal goniometer and desktop ruler programe. Therefore we may suggest KT for patients with shoulder pain to improve the amount of rotation.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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)0.0030.000

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 head0.266
Teacher spread0.258 · 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 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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