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Record W4388038578 · doi:10.56984/8zg20adec

Dry needling versus muscle energy technique on shoulder adhesive capsulitis post mastectomy

2023· article· en· W4388038578 on OpenAlexaff
Nourhan Mohamed Abdelaziz Hussien, Hussein Gamal Hussein Mogahed, Mohamed Gamil Abdelmoneim, Karim Ibrahim Saafan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineCapsulitisDry needlingShoulder jointRange of motionPhysical therapyRandomized controlled trialFrozen shoulderJoint mobilizationSurgeryAcupuncture

Abstract

fetched live from OpenAlex

Objectives. To compare the effect of dry needling and muscle energy technique on adhesive capsulitis post mastectomy. Design. A single-blinded randomized clinical study. Setting. Outpatient setting. Subjects. Fifty female patients diagnosed with shoulder adhesive capsulitis post mastectomy, ranging in age from 30 to 60 years, were randomly assigned to two groups. Participants in Group A were administered dry needling treatment, plus a traditional physical therapy program in the form of shoulder joint mobilization, shoulder muscle stretching, and ROM exercise; Group B received muscle energy technique, plus a traditional physical therapy program in the form of shoulder joint mobilization, shoulder muscle stretching, and ROM exercise. Intervention. Two sessions per week over five weeks. Outcome measures. Shoulder range of motion, pressure pain threshold, and shoulder dysfunction were measured pre-treatment and post-treatment. Results. There was no statistically significant difference observed in the age distribution between the groups (p > 0.05). Following the treatment, there was a notable rise in the pressure pain threshold and a considerable decline in shoulder dysfunction when compared to the pre-treatment condition (p < 0.001). There was a notable rise in the ranges of shoulder flexion, abduction, and external rotation after the treatment when compared to before the treatment in both group A and B (p > 0.001). The percentage of change in flexion, abduction, and external rotation in group A was 125.03%, 76.43%, and 58.72%, respectively. In contrast, group B exhibited percentage changes of 137.48%, 97.51%, and 68.78% in flexion, abduction, and external rotation, respectively. There was no statistically significant difference seen between the groups prior to treatment, as shown by a p-value greater than 0.05. The analysis of the data after treatment demonstrated a statistically significant rise in the pressure pain threshold for group A in comparison to group B (p < 0.001). However, there was no significant disparity observed in shoulder dysfunction between the two groups (p > 0.05). Following the treatment, there was a notable rise in the range of motion (ROM) for flexion, extension, and abduction in group B when compared to group A (p < 0.001). Conclusion. Application of either dry needling or muscle energy technique results in a notable enhancement in the severity of symptoms in adhesive capsulitis post mastectomy, with superiority for dry needling.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.262
Teacher spread0.247 · 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 designNon-randomized 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
Published2023
Admission routes1
Has abstractyes

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