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One‐year evaluation of the effect of physical therapy for masticatory muscle pain: A randomized controlled trial

2011· article· en· W2144579952 on OpenAlexaboutno aff
Bart Craane, Pieternel Dijkstra, Karel Stappaerts, Antoon De Laat

Bibliographic record

VenueEuropean Journal of Pain · 2011
Typearticle
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMasticatory forceRandomized controlled trialPhysical therapyMedicinePhysical medicine and rehabilitationOrthodonticsInternal medicine

Abstract

fetched live from OpenAlex

Physical therapy is widely used to decrease pain and restore function in patients suffering from masticatory muscle pain. Controlled studies on its efficacy are scarce. This study evaluated the 1-year effect of a 6-week physical therapy programme in a single blind, randomized, controlled trial. Fifty-three subjects were randomly assigned to either a physical therapy group [n = 26; 19 women, mean age (SD) 36.6 years (15.5 years)] or a control group [n = 27; 20 women, mean age (SD) 42.9 years (15.1 years)]. In the physical therapy group, the patients received education, muscle stretching, exercises and homework for nine treatments in 6 weeks. In the control group, the patients received education on the evaluation days only. At baseline and after 3, 6, 12, 26 and 52 weeks, pain and masticatory function were evaluated using visual analogue scales, the McGill Pain Questionnaire, pressure pain thresholds of the masseter and temporalis muscles, the mandibular function impairment questionnaire, and active and passive maximal mouth opening. All pain rating variables decreased and all function variables increased significantly over time in both groups. No significant differences in improvement between the groups (time-treatment interaction) were found. These data suggest that the long-term decrease in pain and the improvement of function are not related to active physical therapy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.139
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1390.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.068
GPT teacher head0.361
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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

Citations47
Published2011
Admission routes1
Has abstractyes

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