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Record W2766307424 · doi:10.22037/jcpr.v2i4.16215

Significance of Low-level Laser Therapy in Rotator Cuff Tendinitis: A Prospective, Single-blind Study

2017· article· en· W2766307424 on OpenAlexaboutno aff
Mohsen Karami, Amin Karimi, Babak Gabjei, Kamyar Akrami, Adel Ebrahimpour

Bibliographic record

VenueJournal of Clinical Physiotherapy Research · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRotator cuffTendinitisPlaceboTendinopathyShoulder Impingement SyndromeProspective cohort studyPhysical therapyRotator cuff injurySurgeryLow level laser therapyRandomized controlled trialTendonLaser therapyLaserPathology

Abstract

fetched live from OpenAlex

Introduction: This prospective, single-blind trial aims at assessing the efficacy of low-level laser therapy in rotator cuff tendinopathy. Materials and Methods : Fifty-four patients with painful impingement syndrome were equally divided into two groups, of which one was treated using an inactive machine via the placebo procedure (group A) and another from a functional machine (group B). The Range of Motion and Western Ontario Rotator Cuff Index (WORC) questionnaires were implemented to conduct the comprehensive shoulder examination of the patients for four times within the research period of 2 months. Results: After one month of treatment, the patients in group B recorded better WORC score compared to group A (38 versus 46), which was significant ( P =0.03). However, after one more month, the score changed to 40 for group A and 36 for group B, which was not statistically significant. In each group, the WORC score changed after treatment with significant difference (P value=0.023 in group A and 0.04 in group B), but the difference between both the groups was not significant after the final visit. Conclusion: The results suggest that low-level laser therapy had no significant effect and acted primarily as a placebo treatment in rotator cuff tendinitis. Keywords: Laser, Physiotherapy, Shoulder, Tendinitis

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)0.004
metaresearch head score (Gemma)0.001
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 score0.077
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.383
GPT teacher head0.579
Teacher spread0.197 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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