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Record W2267741434 · doi:10.1016/j.jmpt.2016.01.002

The Effectiveness of Multimodal Care for the Management of Soft Tissue Injuries of the Shoulder: A Systematic Review by the Ontario Protocol for Traffic Injury Management (OPTIMa) Collaboration

2016· review· en· W2267741434 on OpenAlexafffundabout
Rachel Goldgrub, Pierre Côté, Deborah Sutton, Jessica J. Wong, Hainan Yu, Kristi Randhawa, Sharanya Varatharajan, Danielle Southerst, Silvano Mior, Heather M. Shearer, Craig Jacobs, Maja Stupar, Chadwick Chung, Sean Abdulla, Robert Balogh, Shilpa Dogra, Margareta Nordin, Anne Taylor‐Vaisey

Bibliographic record

VenueJournal of Manipulative and Physiological Therapeutics · 2016
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsMount Sinai HospitalCanadian Memorial Chiropractic CollegeCentre for Disability Prevention and RehabilitationOntario Tech University
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsMedicineRandomized controlled trialPhysical therapyMEDLINECINAHLPsycINFOMultimodal therapySystematic reviewCochrane LibraryManual therapyAnterior shoulderCritical appraisalChiropracticPsychological interventionEvidence-based medicineRotator cuff injuryRotator cuffPhysical medicine and rehabilitationAlternative medicineSurgeryNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this systematic review was to evaluate the effectiveness of multimodal care for the management of soft tissue injuries of the shoulder. METHODS: We conducted a systematic review and searched MEDLINE, EMBASE, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials from 1990 to 2015. Two independent reviewers critically appraised studies using the Scottish Intercollegiate Guidelines Network criteria. We used best evidence synthesis to synthesize evidence from studies with low risk of bias. RESULTS: We screened 5885 articles, and 19 were eligible for critical appraisal. Ten randomized controlled trials had low risk of bias. For persistent subacromial impingement syndrome, multimodal care leads to similar outcomes as sham therapy, radial extracorporeal shock-wave therapy, or surgery. For subacromial impingement syndrome, multimodal care may be associated with small and nonclinically important improvement in pain and function compared with corticosteroid injections. For rotator cuff tendinitis, dietary-based multimodal care may be more effective than conventional multimodal care (exercise, soft tissue and manual therapy, and placebo tablets). For nonspecific shoulder pain, multimodal care may be more effective than wait list or usual care by a general practitioner, but it leads to similar outcomes as exercise or corticosteroid injections. CONCLUSIONS: The current evidence suggests that combining multiple interventions into 1 program of care does not lead to superior outcomes for patients with subacromial impingement syndrome or nonspecific shoulder pain. One randomized controlled trial suggested that dietary-based multimodal care (dietary advice, acupuncture, and enzyme tablets) may provide better outcomes over conventional multimodal care. However, these results need to be replicated.

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)0.034
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.085
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.014
Bibliometrics0.0150.014
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0040.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.199
GPT teacher head0.452
Teacher spread0.253 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations19
Published2016
Admission routes3
Has abstractyes

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