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Record W7128241316 · doi:10.51261/yiu.2025.1745193

Fasiyal Paralizi Hastalarında Çoklu Modelde Uygulanan Fizyoterapi ve Rehabilitasyon Uygulamalarının Etkinliği: Olgu Sunumu

2025· article· W7128241316 on OpenAlexaboutno aff
Aylin Baykal, Sotoudeh Sabour, Cemre Yaren Güngörenler

Bibliographic record

VenueYüksek İhtisas Üniversitesi Sağlık Bilimleri Dergisi · 2025
Typearticle
Language
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSynkinesisElectromyographyFacial nerveProprioceptionFacial musclesRehabilitationParalysisFacial paralysis

Abstract

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Introduction: Facial paralysis is the seventh cranial nerve injury of central or peripheral origin. It is characterized by multiple sensory, motor and autonomic losses, such as loss of sensation, loss of muscle strength, pain, and loss of function in the lacrimal glands. The aim of the study is to investigate the effectiveness of multimodal physiotherapy and rehabilitation (PTR) applications in patients with facial paralysis. Case: E. Ö., a 43-year-old tourism manager, is being followed up with a diagnosis of right parotid gland tumor. When the tumor was 2.1 cm in size, it was taken into surgery, and since nerve damage occurred during the surgery, the patient was directed to physical therapy. As a result of the electromyography (EMG) performed 21 days later, 88% nerve damage was detected in the 4 branches of N. facialis. The patient started physiotherapy in the 4th week after the injury. The patient’s facial muscle functions were assessed with the Facial Clinimetric Evaluation (FaCE) questionnaire, nerve damage was assessed with EMG, muscle strength was assessed with the House-Brackmann scale, synkinesis was assessed with the synkinesis assessment questionnaire (SAQ), disability was assessed with the facial disability index (FDI), and pain was assessed with the McGill Melzack scale. Salivation, lacrimation and tongue functions were questioned verbally. All tests were repeated before treatment (BT) and after treatment (AT). PTR applications were performed 3 days a week for 10 weeks. For motor problems, facial mimic muscles were strengthened with the proprioceptive neuromuscular facilitation (PNF) method and combined mimic exercises with motor point stimulation were performed. The exercises were supported by imaginary exercises in front of the mirror. A rest splint was given with infrared to accelerate pain and healing, and kinesio taping for flaccid sensation. Classical facial massage was applied to both reduce pain and increase regional circulation. Conclusion: While 88% nerve damage was detected in the 4 branches of the facial nerve in the EMG result (BT) 21 days after the injury, the nerve damage decreased to 21% after treatment and a success rate of 67% was achieved. After treatment, improvements were recorded in the FaCE questionnaire (BT: 23, AT: 64), SAQ (BT: 60%, AT: 22.2%, progression rate 37.8%), FDI (BT: 16, AT: 21) and MCGill Melzack Pain Rating Scale; on localization and type of the pain parameters didn’t change while time (BT:1 hour, AT:15 minutes), frequency (BT: twice a day, AT: once a week) and intensity (BT:8/10, AT:1/10) changings recorded, excluding the muscle strength test. In conclusion, multimodal PTR applied to patients with facial paralysis improve the motor and sensory effects of the patients. Keywords: Facial paralysis, motor function, pain, rehabilitation

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.011
GPT teacher head0.304
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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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