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Record W4400723999 · doi:10.35556/idr-2024-2(107)36-41

Clinical characteristics of tension headache in occlusive disorders

2024· article· en· W4400723999 on OpenAlexaboutno aff
Н.М. Диденко, Р.В. Ушаков, Е.В. Мокренко

Bibliographic record

VenueStomatology for all / International Dental Review · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsOcclusiveMedicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Relevance. Common physiological human suffering is headache. The prevalence of headache ranks third after back pain and joint pain in the structure of muscle-fascial pain syndromes. However, headaches and facial pains associated with muscle-fascial trigger points are much more common than headaches and facial pains caused by other causes. An extremely irritated area of skeletal muscle associated with an oversensitive palpable node located in a compacted bundle is the muscle–fascial trigger points. In the pathogenesis of headaches, a major role belongs to dysfunction or disease of the temporomandibular joint, age-related changes in the masticatory muscles, jaws and teeth and all elements of the TMJ occuring during a person’s life. In some cases, minor changes in the occlusion of teeth and jaws, as well as a stressful situation, lead to a painful spasm of the masticatory muscles. Goal. To analyze the clinical characteristics of tension headache in patients with occlusive disorders (OD) and physiological occlusion (PO). Material and methods. The study covered 210 patients with occlusion disorders and 92 patients with the signs of physiological occlusion. 141 patients from the first group and 32 patients from the second group complained of a headache. Occlusal relationships of teeth were analyzed in the position of central and dynamic occlusion. The destruction of the hard tissues of the teeth and partial adentia, as well as anomalies and deformities of the dentition were determined as the disorder of occlusion. The study of the muscles of the maxillofacial region and neck was carried out using the techniques described in the book by Travell J.G., Simons D.G. (2005). A visual-analogue pain assessment scale and a Russified McGill’s questionnaire on the nature of pain were used to identify the nature of the pain syndrome, the severity of pain. The assessment was carried out at a consultative appointment, the localization, nature, duration and intensity of pain, as well as the specificities of the pain syndrome being taken into account. When examining muscles, to quantify the data obtained the muscle syndrome index (IMS) was evaluated. The analysis of the research results was carried out using nonparametric criteria. Results. According to the severity of the pain syndrome, the use of a visual analogue scale (VAS) of pain allowed us to divide all patients into 3 groups: with mild pain, with moderate and with severe pain. According to the international classification of headaches, episodic and chronic headaches were distinguished. In patients with OD, the headache becomes chronic more often and is felt more intense than in patients with PO. Among the patients complaining of a headache, in patients with OD the IMS is higher than the IMS of the muscles of the masticatory complex, and in patients with PO the IMS is higher than the IMS of the neck muscles. Conclusions. Female patients with OD and PO suffer from tension headache more often than male patients. In patients with OD, musculo-fascial headaches are twice as common, have a more pronounced character and become chronic more often than in patients with PO. The severity of the IMS of the masticatory muscles in patients with OD is 2.5 times higher than in patients with PO.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.376
Teacher spread0.360 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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