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Record W3093422409 · doi:10.36106/paripex/9803343

IMMEDIATE EFFECT OF MYOFASCIAL RELEASE V/S POSITIONAL RELEASE TECHNIQUE ON LEVATOR SCAPULAE TRIGGER POINTS IN YOUNG ADULTS

2020· article· en· W3093422409 on OpenAlexaff
Ahmed Noor, Mansi Sanghvi, Sarfraj Khan

Bibliographic record

VenuePARIPEX INDIAN JOURNAL OF RESEARCH · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsCanadian Physiotherapy Association
Fundersnot available
KeywordsMyofascial releaseMedicineMyofascial pain syndromeContext (archaeology)Physical therapyRange of motionSignificant differencePhysical medicine and rehabilitationInternal medicinePathology

Abstract

fetched live from OpenAlex

Context : Myofascial release is the gentle manual application of sustained pressure to release fascial restriction. One of the cervical spine pain healing methods is Trigger point therapy with positional release method. Aim: To compare the efficacy of Immediate Effect of Myofascial Release and Positional Release techniques on levator scapulae trigger points in young adults. Method and material: Study involved 30 subjects that were divided into 2 groups. Group A (n=15) Myofascial Release technique and Group B (n=15)Positional Release technique. Results: The data was analysed using statistical method of paired’t’-test between the pre and post interventional study of pain and range of motion. Result showed statistically significant improvement (p<0.05) and visible difference in the post intervention. Discussion and conclusion: From the present study we conclude that Myofascial release is more efficient in reducing pain whereas Positional Release Technique is more efficient in increasing the cervical ROM , both Active lateral flexion and Cervical 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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.519
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 integrity0.0000.001
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 head0.015
GPT teacher head0.319
Teacher spread0.305 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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