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Record W2606816703 · doi:10.16965/ijpr.2017.123

EFFICACY OF ONE TIME TRANSCUTANEOUS ELECTRICAL NEUROMUSCULAR STIMULATION (TENS) IN NEXT TWO MENSTRUAL CYCLES IN PRIMARY DYSMENORRHEA

2017· article· en· W2606816703 on OpenAlexaboutno aff
Renuka Jakhar, Devendra Singh Rana, Anil Kumar Shukla

Bibliographic record

VenueInternational Journal of Physiotherapy and Research · 2017
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStimulationPhysical medicine and rehabilitationPhysical therapyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Background: Dysmenorrhea refers to the occurrence of painful menstrual cramps of uterine origin. TENS may be an alternative treatment option for women with dysmenorrhea who wish to stop using non-steroidal antiinflammatory drugs (NSAIDs), oral contraceptives, or other analgesics because the existing medication is ineffective, has unacceptable adverse effects, or due to personal choice. An effective non-pharmacological method of treating dysmenorrhea would be of great potential value in treating dysmenorrhea. Materials and Methods: 50 females with age group of 20-30 years having moderate or severe degree of disability due to dysmenorrhea with VAS score > 7 without athletic background were taken into the study. Conventional TENS was applied on 1 st and 2 nd day of menses over the abdomen in criss-cross pattern and effect of TENS was evaluated in present and next two menstrual cycles. Assessment tools were Visual analogue scale (VAS), Shortform McGill Pain Questionnaire(SF-MPQ) and Short-form Moos Menstrual Distress Questionnaire (SF-MMDQ) and Outcome measures were Pain ( assessed by VAS and SF-MPQ), Quality of life (assessed by SF-MMDQ) and Number of analgesics used.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.057
GPT teacher head0.455
Teacher spread0.398 · 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.

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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