Fibromyalgia and myofascial pain syndrome: Two sides of the same coin? A scoping review to determine the lexicon of the current diagnostic criteria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Consistent terminology to describe the diagnostic criteria for fibromyalgia (FM) and myofascial pain syndrome (MPS) is required to address the reported inadequacies in diagnosis. The present review investigated intervention studies in FM and MPS populations to determine the lexicon of the current diagnostic criteria used to identify chronic musculoskeletal pain patients. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a scoping review to review systematically the literature obtained from five scientific databases between 1997 and February 2017. Included studies consisted of intervention studies that involved symptomatic musculoskeletal pain patients, of any age or gender, presenting with FM or MPS. Included studies were evaluated for musculoskeletal condition and the diagnostic criteria used to identify patient conditions. Extraction of study criteria focused on whether diagnostic criteria were explicitly stated, the diagnostic criteria used, physical findings, symptomatic duration and the profession of the healthcare provider who confirmed diagnosis. RESULTS: We identified 493 interventions, of which 410 were related to FM and 83 to MPS. The lexicon of the diagnostic criteria used for MPS tended to be less consistent in comparison to FM criteria, with notable differences in all comparative categories. CONCLUSIONS: The current review identified inconsistencies associated with the lexicon of the diagnostic criteria used to diagnose FM and MPS, and showed that there is wide variability in the terminology currently being used. These findings may have important implications for future development of consistent criteria to diagnose FM and MPS patients accurately.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it