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Record W4386137692 · doi:10.22259/2639-3654.0401004

Effect of Specific Manipulative Therapy Treatment in Cervico-Brachial Pain Syndrome

2021· article· en· W4386137692 on OpenAlexaboutno aff
Abul Hasnat Mohiuddin, Mohan Nallathambi, Md. Nazrul Islam

Bibliographic record

VenueArchives of Orthopedics and Rheumatology · 2021
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsnot available
Fundersnot available
KeywordsManual therapyMedicineBrachial plexusPhysical therapyPhysical medicine and rehabilitationSurgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Introduction:The heterogeneity of the cervico-Brachial pain syndrome mutual with the diverse focus of manual therapy procedure makes it difficult to construe the evidence as to the effectiveness of precise manual therapy for specific chronic neck problems.Maitland manual therapies have been used in clinical trials of physiotherapy, nevertheless a small number of if any have used a believable non detailed manual therapy or gesture.Purpose: To assess current levels of evidence on the effectiveness of manual therapy interventions for patients with cervico-brachial pain.Objectives: To find out the socio demographic characteristic (age, sex, education) of cervico-brachial pain of participants, to determine the clinical effect of a specific manual therapy techniques on individuals with Cervico-Brachial pain syndrome, to explore the McGill Pain, Northwick Park, Global Rating of Change & Goniometric status due to Cervico-Brachial pain.Methodology: An Experimental research design for this study with pre test and post test from the Cervico-Brachial pain patient in with 75 participants were collected from OPD, Department of Physiotherapy, Gonoshasthaya Medical College, Gono Bishwabidyalay, Mirzanagar, Savar, Dhaka and Department of Physiotherapy & Orthopedic, National Institute of Trauma and Orthopedic Rehabilitation (NITOR), Dhaka and captured in Excel, using an SPSS 21.0 version programs.Results: The entire contestants 75 of this study.The age group was participant from 21-54 years.Mean 33 and (SD±8.599).Among the 75 participants 92% (n=69) were Muslim and 5.3% (n=4) were Hindu in religion and Christian were 2.7% (n=2).Distribution of respondent's neck pain affected by the length of services among the total population (n=75), job length more than 10 years 14.7% (n=11), Job length more than 7 years percentage of affected respondents were 10.7% (n=16), secondary school certificate 8% (n=6), higher secondary school certificate 10.66% (n=8), Bachelor degree 44% (n=33).And master degree 37.3% (n=28).Conclusion: In this study cervical Maitland mobilization is an efficient management for cervico-brachial pain.More exclusively a Maitland mobilization technique, It increases the range of motion that is possible in the neck with upper limbs and it dwindle the pain.They compared it with ultrasound, IFT, IRR which doesn't have any effect.The study chains the connoisseur opinion that in patients with cervicobrachial pain the preliminary treatment of the mechanical interface through cervical mobilization appears preferable to Maitland mobilizing treatment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0100.000

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 head0.276
Teacher spread0.261 · 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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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