MétaCan
Menu
Back to cohort
Record W6930861269 · doi:10.5281/zenodo.16222990

Effectiveness of manual therapy based on the fascial distortion model in patients with temporomandibular disorder: A pilot study of randomized clinical trial

2024· article· en· W6930861269 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldMathematics
TopicStatistical Methods and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTemporomandibular jointRandomized controlled trialVisual analogue scaleManual therapyMcGill Pain QuestionnaireCraniofacial

Abstract

fetched live from OpenAlex

Aim: To investigate the efficacy of Manual Therapy Based on the Fascial Distortion Model (FDM) by comparing it with Core Stabilization Training (CST) or Non-Interventional Control in individuals with temporomandibular disorders. Method: This is a preliminary study of a randomized, controlled, three-armed, multicentered clinical trial (NCT06134310). Permuted Block Randomization was used. The study included patients aged 18 to 64 with chronic temporomandibular disorders. A total of 29 patients participated at Hacettepe University and Karabük University following diagnosis by specialist dentists according to the Diagnostic Criteria for Temporomandibular Disorders. The interventional groups were given eight-week FDM or CST once a week in addition to conventional therapy (Rocabado’s 6x6 Home Exercises and Patient Education), while the control group received no treatment. Different types of pain intensity for temporomandibular and cervical regions were assessed using the Revised Graded Chronic Pain Scale (GCPS-R), Short-Form McGill Pain Questionnaire (MPQ-SF), Visual Analog Scale (VAS), and Numeric Pain Rating Scale (NPRS). Head posture was assessed over Eye-Tragus-Horizontal Angle, Pogonion-Tragus-C7 Angle, Tragus-C7-Horizontal Angle, Tragus-C7-Shoulder Angle and Shoulder-C7-Horizontal Angle. Temporomandibular joint range of motions (ROMs) was measured over pain-free opening, maximum opening, assisted opening, laterotrusions, and protrusion using a digital vernier caliper. Dysfunction, disability, quality of life, and temporomandibular severity were assessed by the Mandibular Function Impairment Questionnaire (MFIQ), Craniofacial Pain and Disability Inventory (CPDI), Cognitive Exercise Therapy Approach-Biopsychosocial Questionnaire (BETY-BQ), and FonsecaAnamnestic Index (FAI), respectively. All outcomes were measured at baseline and 8th week, and pain intensity was additionally measured at the 2nd, 4th, and 6th weeks. Analyzes were carried out following the intention to treat principle. Results: Group-by-time interaction effect was found significant at right laterotrusion (F=5.3318, p=.018), left laterotrusion (F=6.071, p=.011), GCPS-R (X²=3.23e+7, p<.001), NPRS (X²=20.4640, p=.009), VAS (F=2.533, p=.016), MPQ-SF (F=2.1509, p=.040), and MFIQ (χ²= 3.09e+8, p<.001). Head posture, other ROMs, FAI, CPDI, and BETY-BQ, did not demonstrate a significant group-by-time interaction effect. Conclusion and Recommendations: FDM improved range of motion or pain. Patients responded to the treatments well, and drop-out rates were acceptable. A study on FDM/CST in patients with temporomandibular disorders was feasible. More patients are required for future studies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.108
GPT teacher head0.383
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicStatistical Methods and ApplicationsFrench-language works237,207