The Effect of Upper Trapezius Latent Myofascial Trigger Points on Neck Pain and Disability
Bibliographic record
Abstract
Purpose: To compare neck pain and disability between people with and without latent myofascial trigger points (MTrP) in Upper Trapezius. Methods: The participants of the study were asked to fill the Northwick Park Neck Pain Questionnaire (NPNQ) following which bilateral upper trapezius muscles were assessed for the presence of latent MTrP. The participants were placed into two groups; an experimental group who had latent MTrP in upper trapezius and a control group who did not have trigger points. Twenty seven people (22 women and 5 men, age range 18 to 22 years, mean age 19.62 +/- 1.33 years) were in the experimental group and Fifteen people (10 women and 5 men, age range 18 to 23 years, mean age 18.86 +/- 1.55 years) were in the control group. Analysis: The scores from the NPNQ was compared between the two groups using unpaired‘t’ test. Results: The results showed that the neck pain and disability is significantly higher in people with latent MTrP than the people without Latent MTrP. Conclusion: The latent MTrP despite of being quiescent might have a significant role to play in influencing neck pain and disability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".