Dataset Information

Predictors of pain reduction following manual therapy in patients with temporomandibular disorders: a protocol for a prospective observational study.

ABSTRACT: INTRODUCTION:Temporomandibular disorders (TMDs) are principally characterised by pain in the craniomandibular area and probable limitations of jaw opening. Manual therapy, like other recommended conservative treatments included in clinical guidelines, is commonly used to treat patients with TMD to reduce pain and improve function. However, outcomes may be variable. The aim of this study is to identify predictors associated with pain reduction in patients with TMD following manual therapy by analysing a combination of patient-reported outcome measures and clinical tests. Such knowledge will support a more personalised management approach by facilitating clinical decision-making. METHODS/ANALYSIS:An observational prospective design will recruit a cohort of 100 adults with a diagnosis of TMD (according to Axis I of the Diagnostic Criteria for TMD) at a Dental Hospital in Italy. Patients will be treated with four?weekly sessions of manual therapy applied to craniomandibular structures. An array of predictors has been chosen based on previous research on prognostic factors for TMD and altered pain modulation in musculoskeletal disorders. Candidate predictors including demographic variables, general health variables, psychosocial features, TMD characteristics and clinical tests of the temporomandibular joint and masticatory muscles will be collected at baseline. Definition of good outcome is a clinically significant reduction of pain intensity over the last week (?30% reduction Visual Analogue Scale) immediately following the four week intervention. Exploratory factor analysis will be applied to analyse factor loading of candidate predictors for good outcome at four weeks. Subsequently, a logistic multivariable regression model will be performed to calculate low and high risk of good outcome. ETHICS AND DISSEMINATION:Ethical approval has been obtained from the 'Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico' and University of Birmingham Ethics Committee. The results will be submitted for publication in a peer-reviewed journal and presented at conferences. TRIAL REGISTRATION NUMBER:NCT03990662; Pre-results.

SUBMITTER: Asquini G

PROVIDER: S-EPMC6858120 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predictors of pain reduction following manual therapy in patients with temporomandibular disorders: a protocol for a prospective observational study.

Asquini Giacomo G Bianchi Andrea Edoardo AE Heneghan Nicola R NR Rushton Alison B AB Borromeo Giulia G Locatelli Matteo M Falla Deborah D

BMJ open 20191112 11

<h4>Introduction</h4>Temporomandibular disorders (TMDs) are principally characterised by pain in the craniomandibular area and probable limitations of jaw opening. Manual therapy, like other recommended conservative treatments included in clinical guidelines, is commonly used to treat patients with TMD to reduce pain and improve function. However, outcomes may be variable. The aim of this study is to identify predictors associated with pain reduction in patients with TMD following manual therapy ...[more]

PMID: 31722951

Similar Datasets

Project description:BackgroundVariability in patients' postoperative pain experience and response to treatment challenges effective pain management. Variability in pain reflects individual differences in inhibitory pain modulation and psychological sensitivity, which in turn may be clinically relevant for the disposition to acquire pain. The aim of this study was to investigate the effects of conditioned pain modulation and situational pain catastrophizing on postoperative pain and pain persistency.MethodsPreoperatively, 42 healthy males undergoing funnel chest surgery completed the Spielberger's State-Trait Anxiety Inventory and Beck's Depression Inventory before undergoing a sequential conditioned pain modulation paradigm. Subsequently, the Pain Catastrophizing Scale was introduced and patients were instructed to reference the conditioning pain while answering. Ratings of movement-evoked pain and consumption of morphine equivalents were obtained during postoperative days 2-5. Pain was reevaluated at six months postoperatively.ResultsPatients reporting persistent pain at six months follow-up (n = 15) were not significantly different from pain-free patients (n = 16) concerning preoperative conditioned pain modulation response (Z = 1.0, P = 0.3) or level of catastrophizing (Z = 0.4, P = 1.0). In the acute postoperative phase, situational pain catastrophizing predicted movement-evoked pain, independently of anxiety and depression (β = 1.0, P = 0.007) whereas conditioned pain modulation predicted morphine consumption (β = -0.005, P = 0.001).ConclusionsPreoperative conditioned pain modulation and situational pain catastrophizing were not associated with the development of persistent postoperative pain following funnel chest repair. Secondary outcome analyses indicated that conditioned pain modulation predicted morphine consumption and situational pain catastrophizing predicted movement-evoked pain intensity in the acute postoperative phase. These findings may have important implications for developing strategies to treat or prevent acute postoperative pain in selected patients. Pain may be predicted and the malfunctioning pain inhibition mechanism as tested with CPM may be treated with suitable drugs augmenting descending inhibition.

Project description:BackgroundThe term temporomandibular disorder (TMD) includes disorders of the temporomandibular joints (TMJ), masticatory muscles and adjacent tissues. Several studies have examined the effectiveness of manual therapy (MT) for TMDs by evaluating changes in pain and maximum mouth opening (MMO). Nevertheless, the effectiveness of MT exclusively applied to the craniomandibular structures (craniomandibular manual therapy (CMMT)) on pain and TMJ range of motion remains unclear. This review aims to evaluate the effectiveness of CMMT on pain and TMJ range of motion in people with TMDs.MethodsThis protocol is reported in line with the preferred reporting items for systematic reviews and meta-analysis protocols (PRISMA-P). Databases including MEDLINE, Embase, CINAHL, ZETOC, Web of Science, SCOPUS, PEDro, PubMed, Cochrane Library and Best Evidence, EBM reviews-Cochrane Central Register of Controlled Trials, Index to Chiropractic Literature ChiroAccess and Google Scholar will be searched from inception as well as key journals and grey literature. Randomised controlled trials involving adults with TMD that compare the effect of any type of CMMT (e.g. mobilisation) on pain and range of motion with a placebo intervention, controlled care intervention or other types of treatment will be included. Two reviewers will independently screen articles for inclusion, extract data, assess risk of bias (revised Cochrane risk of bias tool) for included studies and evaluate overall quality of evidence (Grading of Recommendations Assessment, Development and Evaluation). A meta-analysis will be conducted if possible. If not, a narrative synthesis will be conducted reporting the effectiveness of CMMT according to disorder type (TMJ disorders, masticatory muscle disorders and mixed disorders).DiscussionIn this review, the effectiveness of MT applied to craniomandibular structures for the treatment of TMD will be evaluated. Results will be submitted for publication in a peer-reviewed journal and presented at conferences. We expect our findings will facilitate treatment planning for manual therapists managing patients with TMD and provide future clinical research implications.Systematic review registrationPROSPERO CRD42019160213.

Dataset Information

Predictors of pain reduction following manual therapy in patients with temporomandibular disorders: a protocol for a prospective observational study.

Publications

Predictors of pain reduction following manual therapy in patients with temporomandibular disorders: a protocol for a prospective observational study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets