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Record W2897462302 · doi:10.2147/jpr.s178110

The effect of physiotherapy and acupuncture on psychocognitive, somatic, quality of life, and disability characteristics in TTH patients

2018· article· en· W2897462302 on OpenAlexaboutno aff
George Georgoudis, Bledjana Felah, Pantelis Τ. Nikolaidis, Evanthia Mitsiokappa, Andreas F. Mavrogenis, Thomas Rosemann, Beat Knechtle

Bibliographic record

VenueJournal of Pain Research · 2018
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcupunctureQuality of life (healthcare)Physical therapyPhysical medicine and rehabilitationAlternative medicineNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Nonpharmacological therapies have been widely used to treat tension-type headache (TTH); however, limited evidence exists with regards to their effectiveness. Therefore, the aim of the present study was to examine the combined effect of acupuncture, stretching, and physiotherapy (myofascial release techniques and microwave diathermy) on psychocognitive, somatic, quality of life, and disability characteristics in such patients. SUBJECTS AND METHODS: Patients with TTH (n=44) performed either acupuncture or stretching (control group, n=20) or acupuncture, stretching, and physiotherapy (experimental group, n=24) during a 4-week intervention period including 10 treatment sessions. They were tested for the Greek version of the Short-Form McGill Pain Questionnaire, the Greek version of the Migraine Disability Assessment Questionnaire, the Greek version of the Hospital Anxiety and Depression Scale, Short Form Health Survey 12 9 (SF-12), and Pain Catastrophizing Scale at baseline after the fifth and tenth sessions. RESULTS: >0.05). CONCLUSION: In summary, a significant beneficial role of acupuncture, stretching, and physiotherapy on cognitive, psychosomatic pain measures, disability index, quality of life, and catastrophizing in patients with TTH was observed.

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)0.010
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.044
GPT teacher head0.472
Teacher spread0.428 · 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 teacher head, not a consensus.

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

Citations11
Published2018
Admission routes1
Has abstractyes

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