EFFICACY OF ONE TIME TRANSCUTANEOUS ELECTRICAL NEUROMUSCULAR STIMULATION (TENS) IN NEXT TWO MENSTRUAL CYCLES IN PRIMARY DYSMENORRHEA
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".