Re: Signs and Symptoms of Myofascial Pain: An International Survey of Pain Management Providers and Proposed Preliminary Set of Diagnostic Criteria
Notice bibliographique
Résumé
Dear Editor, We read the article of Rivers et al. [1] with great interest, and we find it a valuable contribution to the literature on the diagnosis of myofascial pain syndrome (MPS). However, we would like to comment upon two issues with respect to this article. The first issue we noticed is that the proposed diagnostic criteria [1] do not require identification of a myofascial trigger point (MTrP). While the criteria require appreciation of a tender point and recognition of pain, this is not the same as an MTrP. There are of course many other etiologies of areas tender to palpation, such as the tender areas of fibromyalgia. Considering that the presence of an actual MTrP is what differentiates MPS from other disorders and that MTrPs are the focus of most therapies for MPS, relegating the appreciation of an MTrP to a supporting symptom only seems to add confusion. We believe that pathophysiologically the presence of an MTrP is central to and a necessary feature for the diagnosis of MPS. Therefore, the discrepancy is a demonstration that while practitioner opinion is valuable, it will not always result in optimal decisions. This might be a result of the relative lack of knowledge of the literature for the surveyed physicians. While clinicians understandably don’t require the presence of an actual trigger point for their clinical diagnosis of MPS given the reproducibility difficulties of palpation [2,3], a researcher in the field may prefer to look to solving this problem with an imaging modality such as ultrasound rather than simply adopting the best criteria of a bad lot. The other issue that arose is that the survey administered does not appear to have questioned physicians about the “local twitch response” (LTR): the appearance of muscular twitch upon manual stimulation of the trigger point. Why is this important? It is a widely used criterion in research of MPS and MTrPs [4]. The LTR was included in 44% of existing research reports as of 2007. The LTR is more often mentioned as a criterion in research than the finding of a tender spot (without a nodule) (mentioned in 15% of reports) and reduced range of motion (mentioned in 22% of reports), both of which were included in this survey [1]. Interestingly, a tender spot without a nodule was one of only two criteria viewed as essential by respondents in the survey despite its relatively low usage in the research literature, which makes us wonder what respondents would have responded about the previously more utilized LTR criterion. In addition to its usage in research criteria, we have access to not yet published data from a survey of Canadian physicians that found the majority of clinicians viewed the local twitch response as a criterion for a diagnosis of myofascial pain syndrome (Unpublished Manuscript, L. Grosman-Rimon, H. Clarke P.B. Mills, Aaron Kin-Yun Chan, D. Kumbhare). This leads us to believe that this criterion may have received a strong result in the Rivers survey had it been included. Interestingly, Rivers et al. had a free response section, for any additional signs and symptoms that had not been directly asked about, and this did not reveal the lack of a twitch response option [1]. This indicates either an inadequacy of this approach to identifying missing questions, or indicates that clinicians may only remember or consider important the local twitch response when prompted.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,013 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».