Manobra do Ligamento Largo reduz dor e outros sintomas da dismenorreia primaria
Bibliographic record
Abstract
Background: Primary dysmenorrhea corresponds to menstrual pain that affects 50% of women, making many unable to perform their ADLs. Aims: To evaluate the effects of an intrapelvic myofascial release maneuver for the perovarian region (Broad Ligament Maneuver), in reducing the symptoms of primary dysminorrhea. Method: Uncontrolled clinical trial with volunteers who answered questionnaires to classify pain level (VAS and McGill) and to screen premenstrual symptoms (PSST). Results: All participants showed positive results in all variables, both in reducing the level of pain and in other premenstrual symptoms. Conclusion: The Broad Ligament Maneuver is efficient in reducing symptoms associated with primary dysmenorrhea, reducing patients' pain in more than 70%, and by that constituting a promising non-drug alternative for half of the world's population who suffer from this problem.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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.
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; both teacher heads agree on what is shown here.
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".