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Enregistrement W4385493523 · doi:10.51415/10321/4907

A systematic review of the effectiveness of the use of the Activator Adjusting Instrument in treating spinal pain

2023· review· en· W4385493523 sur OpenAlexaboutno aff
Roxanne Patricia Melvill

Notice bibliographique

Revuenon disponible
Typereview
Langueen
DomaineMedicine
ThématiqueMusculoskeletal pain and rehabilitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChiropracticInclusion and exclusion criteriaMedicinePhysical therapySpinal manipulationSystematic reviewLow back painProtocol (science)Evidence-based practiceAlternative medicineMEDLINEPathology

Résumé

récupéré en direct d'OpenAlex

Spinal pain is commonly encountered by chiropractors and there are several adjustment techniques used to treat spinal pain. Practitioners are required to practice evidence-based chiropractic care in order to best care for their patients and to provide information to guide informed consent. A systematic review provides a well-structured summation and analysis of the available evidence and the effectiveness of the intervention. An analysis would be able to determine the level of evidence in support of the use of the Activator Adjusting Instrument (AAI) in treating spinal pain. The AAI can be used as an adjustment tool (as the AAI technique) outside of the AMCT protocol and the AAI can be used within the AMCT protocol. Both of these uses of the AAI are included in this study. Objectives: The aim of this dissertation was to review published literature regarding the use of the AAI in treating spinal pain. The effectiveness of the use of the AAI in treating spinal pain was evaluated to present current evidence available for its use to treat the different areas of the spine in clinical practice. Method: A literature search was conducted with the following key terms: “Activator”, “Instrument Adjusting”, “Joint Dysfunction”, “Manual Therapy”, “Activator Technique”, “Activator Adjusting” and “Instrument assisted manipulation”. Databases searched were PubMed and Scopus. The articles were screened according to inclusion and exclusion criteria, after which a secondary hand and reference searches were performed. All electronic or paper English articles, which possessed the required key indexing terms, met inclusion and exclusion criteria, and represented randomised controlled study, non-randomised controlled study and observational study designs, were included. Data Collection and Analysis: Blinded review of the articles was then conducted by six independent reviewers, as well as the researcher, utilising the PEDro Scale (for randomised controlled trials), Newcastle-Ottawa Scale for (non-randomised controlled trials) and Liddle Scale (for observational studies). This allowed the methodological rigour of each article to be ranked. The ranking was compared to a critical appraisal of the article in order to achieve an overall decision with regards to the contribution of the article to the level of evidence to use the AAI in treating spinal pain. A total of 23 articles were identified and included in this systematic review. The review and ranking of these articles revealed limited evidence in support of the use of the AAI outside of the AMCT protocol (AAI technique) in the lumbar spine, sacroiliac, and coccygeal regions; however, there was no evidence in support of or against its use in the cervical, thoracic and full spinal regions. There is limited evidence supporting the use of the AAI within the AMCT protocol in treating the cervical spine. There is no evidence supporting or against the use of the AAI within the AMCT protocol for the remaining spinal regions. In the areas where limited evidence is available, spinal pain reduction as a result of the intervention (either AAI technique or AAI within the AMCT protocol) is comparable with the findings of manual manipulation. However, the majority of the spinal regions have no evidence available to base treatment guidelines and informed consent on, in clinical practice. Conclusion: Until further research is conducted surrounding the use of the AAI technique and the AAI within the AMCT protocol in the spinal areas where there is no evidence, practitioners are advised to use the AAI sparingly in these spinal regions, informing the patient of a lack of evidence, until such time as further studies have been carried out that produce reliable and valid evidence in these regions. It is evident that future research is required surrounding the use of the AAI technique as well as the AAI within the AMCT protocol in order for practitioners to apply evidence-based practice and compete informed-consent procedures with patients. Having more evidence in these domains will strengthen the literature and allow for improved clinical decision-making based on evidence that is of high quality and practical value.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,070
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,079

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,070
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0090,009
Bibliométrie0,0110,012
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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.

Tête enseignante Opus0,070
Tête enseignante GPT0,352
Écart entre enseignants0,282 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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