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Record W2939094760 · doi:10.5539/gjhs.v11n5p94

Yoga Therapy for Chronic Tension-Type Headache

2019· article· en· W2939094760 on OpenAlexvenueno aff
Neha Sharma, PJ John, Chandra Madhur Sharma, Ram Vaidya

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyTension headacheIntervention (counseling)Randomized controlled trialClinical trialAnesthesiaSurgeryInternal medicineMigraine

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the clinical efficacy of yoga therapy for Chronic Tension-Type Headache. METHOD: 68 patients diagnosed with chronic tension-type headache were included in 12- week yoga therapy program. All patients completed baseline assessments before starting the intervention and at 4, 8 and 12 weeks completing the yoga therapy. Headache frequency, duration, intensity and analgesics use were recorded through headache diaries. RESULT: Compared with baseline values, mean headache days reduced 51% after 4-week of intervention which continued to reduce by 78% by end of 12 weeks. Comparing from baseline, at 12-week, duration of each headache attack also significantly (P < 0.0001) shortened as well as headache intensity (p < 0.0001). Days with medication per four weeks at post intervention were lower than those at the baseline. CONCLUSION: The study provided preliminary evidence that yoga therapy can be clinically useful for chronic tension-type headache. Further randomised controlled trial is needed.

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: Non-randomized trial · Consensus signal: none
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)0.0010.000
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)0.0040.000

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 head0.050
GPT teacher head0.400
Teacher spread0.350 · 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 designNon-randomized 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
Published2019
Admission routes1
Has abstractyes

Explore more

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