On “Effectiveness of trigger point dry needling…” Cotchett MP, Munteanu SE, Landorf KB. Phys Ther. 2014;94:1083–1094.
Notice bibliographique
Résumé
The study by Cotchett et al1 evaluated the effectiveness of dry needling on patients with plantar heel pain in the context of a parallel-group randomized controlled trial. The study was carefully planned and executed. Cotchett et al reported a very attractive number needed to treat of 4 and a statistically significant difference in mean scores in favor of the dry needling group over the sham treatment group. However, the authors noted the between-group difference was lower than their declared value for the minimal clinically important difference. In making this statement, it appears that Cotchett et al have equated the magnitude of an important within-patient change with that of an important between-group difference. Although what constitutes a clinically important difference is clearly a personal decision, previous work has shown that an important between-group difference will almost always be substantially smaller than an important within-patient change. Goldsmith et al,2 for example, found that an important intervention-control group difference was approximately 50% of an important within-patient change. Cotchett et al applied an estimate for the minimal important between-group difference based on a previous study by Landorf et al,3 who applied the estimation method of Jaeschke et al.4 Jaeschke et al defined the minimal important difference (MID) as “the smallest difference in score in the domain of interest which patients perceive as beneficial and which would mandate, in the absence of troublesome side effect and excessive cost, a change in the patient's management.”4 Their estimation method applies a 15-point global rating of change (descriptors range from “a very great deal worse” to “a very great deal better”) as the reference standard for change. The MID for the outcome measure of interest is quantified as the mean difference between patients reporting no change and patients reporting a small change on the reference standard. Although it may represent a reasonable estimate of a within-patient change, it will overestimate the size of an important between-group difference. The reason for this is that the estimate is based on the difference between one group where, according to the reference standard, 100% of patients have changed an important amount, and a second group where 100% of the patients were categorized as having no change. In real-world settings, not all patients in the intervention group will achieve an important improvement, and not all patients in the control or sham treatment group will remain unchanged. The effect of this within-group heterogeneity in change will be to pull the mean scores of the intervention and control groups closer together. The extent to which the means approach each other is dependent on the proportion of patients in the control and intervention groups who achieve an important change. To assist in the interpretation of the results of the study by Cotchett et al, it would be helpful to have the specific proportion of successes (ie, those meeting the criteria for a within-patient MID) in the dry needling and sham treatment groups and the difference in proportions of these groups with 95% confidence interval on the difference.
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 | 0,004 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,020 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,006 |
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 ».