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Record W2758038457 · doi:10.51415/10321/2569

The relative effectiveness of the combination of spinal manipulation and Homoeopathic Simillimum in the treatment of chronic mechanical neck pain

2017· dissertation· en· W2758038457 on OpenAlexaboutno aff
Kym Ashley Belling

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeck painSpinal manipulationChronic painPlaceboPhysical therapyChiropracticAlternative medicine

Abstract

fetched live from OpenAlex

Background: According to Picavet and Schouten (2003) the incidence of neck pain is increasing at a greater rate than other spine problems (Hoving et al. 2004). Furthermore, chronic neck pain is a substantial burden to society with chronic neck pain being the fourth leading cause of disability worldwide (Hoy et al. 2014). Chronic mechanical neck pain (CMNP) has been defined as localised, asymmetrical neck pain with restricted range of motion and dysfunctional musculature (Grieve, 1988). Treatments for those suffering with chronic pain, which are non-surgical, appear to be the most beneficial for patients according to Haldeman et al. (2008). Giles and Müller (1999) have stated that spinal manipulation is the most effective method of treating spinal pain on its own. However, the literature suggests that there is benefit in combining manipulation with an “anti-inflammatory type” drug (Crawford 1988; Oberbaum 1998; Serrentino 2003). Many studies have been successfully conducted on Homoeopathic complexes to treat neck pain (Fisher 1986; Bohmer and Ambrus 1992; Hepburn 2000; Soeken 2004) however no study has yet to been carried out on the combination of Homoeopathic Simillimum (single remedy) and spinal manipulation for CMNP. Objective: The aim of this study was to determine if spinal manipulation and Homoeopathic Simillimum in combination are more relatively effective than spinal manipulation alone in the treatment of chronic mechanical neck pain. Methodology: This study was a randomised, blinded placebo controlled quantitative trial with a comparative clinical trial design. Thirty consenting participants with CMNP who met the inclusion criteria were randomly distributed between two treatment groups. Group A received spinal manipulation as well as Homoeopathic Simillimum and group B received spinal manipulation with placebo medication. Each participant received three treatments over a period of a week; with subjective and objective readings taken at every consultation. The subjective tools included the Numerical Pain Rating Scale and Canadian Memorial College of Chiropractic Neck Disability Index. Objective tools included the Algometer and CROM-II Goniometer. All data captured was analysed using SPSS version 24.0. Inferential and non-parametric analysis of the data were also be performed. Results: The results showed that no statistically significant differences were observed between the two groups in terms of subjective and objective measurements. However, there were statistically significant improvements seen in both groups equally in terms of ANOVA subjective and objective measurements i.e. both groups showed improvement. Conclusion: The results of this study concluded that no statistical or clinically significant changes were noticed between the groups and therefore the Homoeopathic Simillimum added no statistical significant improvements in those who received it over those participants who received placebo in the treatment of chronic mechanical neck pain.

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)0.001
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.309
Teacher spread0.296 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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