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Record W2940249802 · doi:10.1080/09638288.2019.1585487

The three-dimensional shoulder pain alignment (3D-SPA) mobilization improves pain-free shoulder range, functional reach and sleep following stroke: a pilot randomized control trial

2019· article· en· W2940249802 on OpenAlexafffund
Liza A. M. Pain, Ross Baker, Qazi Zain Sohail, Debbie Hébert, Karl Zabjek, Denyse Richardson, Anne Agur

Bibliographic record

VenueDisability and Rehabilitation · 2019
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity Health NetworkCredit Valley HospitalToronto Rehabilitation InstituteUniversity of TorontoTrillium Health Centre
FundersUniversity of TorontoOntario Ministry of Health and Long-Term CareOntario Stroke NetworkInternational Society of Biomechanics
KeywordsMedicinePhysical therapyShouldersRange of motionRandomized controlled trialPhysical medicine and rehabilitationStroke (engine)Surgery

Abstract

fetched live from OpenAlex

Background and purpose: Following a stroke, three-dimensional clavicular/scapular/humeral joint rotations may become restricted and contribute to post-stroke shoulder pain. This study examined whether a treatment group provided with current standard treatment plus the proposed “Three-dimensional Shoulder Pain Alignment” mobilization protocol demonstrated improved pain-free shoulder range, functional reach and sleep compared to a control group provided with standard treatment alone.Methods: In this double-blinded parallel-group randomized control trial, treatment and control subjects with moderate/severe post-stroke upper extremity impairment and shoulder pain were treated 3x/week for 4 weeks. Outcome measures included changes in pain-free three-dimensional clavicular/scapular/humeral range (using computerized digitization), pain during sleep and functional reach (using the Pain Intensity-Numerical Rating Scale), and pain location/prognostic indicators (using the Chedoke-McMaster Stroke Assessment-Shoulder Pain Inventory).Results: Compared to controls (n = 10) the treatment group (n = 10) demonstrated significantly improved three-dimensional clavicular/scapular/humeral pain-free range during shoulder flexion and abduction (p < 0.05; Hedges g > 0.80), large effect sizes for decreased pain during sleep and functional reach to the head and back (OR range: 5.44-21.00), and moderate effect size for improved pain/prognostic indicators (OR = 3.86).Conclusions: The Three-Dimensional Shoulder Pain Alignment mobilization protocol significantly improved pain-free range of motion, functional reach and pain during sleep in shoulders with moderate/severe post-stroke upper-extremity impairment.Implications for rehabilitationAlthough three-dimensional clavicular/scapular/humeral rotations are an essential component of normal pain-free shoulder range of motion, current guidelines for treatment of post-stroke shoulder pain only includes uni-dimensional mobilizations for joint alignment and pain management.The Three-Dimensional Shoulder Pain Alignment (3D-SPA) mobilization protocol incorporates multi-dimensional mobilizations in various planes of shoulder movement.The current study results demonstrate proof-of-concept regarding the 3D-SPA mobilization, and this approach should be considered as an alternative to the uni-dimensional mobilizations currently used in clinical treatment guidelines for post-stroke shoulder pain.

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)0.004
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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".

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Citations7
Published2019
Admission routes2
Has abstractyes

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