Interrater Agreement of Manual Palpation for Identification of Myofascial Trigger Points
Bibliographic record
Abstract
OBJECTIVE: To achieve a statistical estimate of the agreement of manual palpation for identification of myofascial trigger points (MTrPs) and secondarily to investigate potential factors impacting the agreement of this technique. METHODS: We searched MEDLINE(R) and Embase for studies examining the reproducibility of manual palpation for the identification of MTrPs from the year 2007 to present. In addition, we utilized studies identified by 2 comprehensive systematic reviews that covered the period before 2007. The included studies were original peer-reviewed research articles and included Cohen κ measures or data with which to calculate Cohen κ. Studies were excluded if they lacked a measure of variability or information required to calculate variability. Studies that examined palpation through body cavities were also excluded. Of the 18 potentially relevant articles only 6 met inclusion criteria including 363 patients. Modified QUADAS tool was used to assess study validity. Subgroup comparisons were made utilizing Q and Z tests. RESULTS: An estimate of κ=0.452 (95% confidence interval, 0.364-0.540) was obtained for interrater agreement of manual palpation of MTrPs. Localized tenderness (κ=0.676) and pain recognition (κ=0.575) were the most reliable criteria. Only 1 study met inclusion criteria for intrarater agreement and therefore no meta-analysis was performed. DISCUSSION: Use of manual palpation for identification of MTrPs is unreliable, and future investigation should focus on integration with more reliable techniques.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".