Ashi Acupuncture Versus Local Anesthetic TriggerPoint Injections in the Treatment of AbdominalMyofascial Pain Syndrome: A RandomizedClinical Trial
Bibliographic record
Abstract
BACKGROUND: Chronic pelvic pain (CPP) is defined as recurrent or continuous pain in the lower abdomen or pelvis, non-menstrual or non-cyclic, lasting at least 6 months. There is strong evidence that up to 85% of patients with CPP have serious dysfunction of the musculoskeletal system, including abdominal myofascial syndrome (AMPS). AMPS is characterized as deep abdominal pain, originating from hyperirritable trigger points, usually located within a musculoskeletal range or its fascia of coating. In the literature, there are few studies that address AMPS. OBJECTIVE: This study aimed to compare the responses of ashi acupuncture treatment and local anesthetic injection in the treatment of chronic pelvic pain secondary to abdominal myofascial pain syndrome in women. STUDY DESIGN: Randomized controlled clinical trial. SETTING: Tertiary University Hospital. METHODS: Women with a clinical diagnosis of CPP secondary to AMPS were randomized and evaluated using instruments to assess clinical pain, namely, the visual analogue scale (VAS), numerical categorial scale (NCS), and the McGill Questionnaire, after receiving treatment with ashi acupuncture (group A, n = 16) or local anesthetic injections (group B, n = 19). They were reevaluated after one week and one, 3, and 6 months after each treatment, in addition to assessments of pain and adverse events performed during the sessions. RESULTS: Ashi acupuncture and local anesthetic injections were both effective in reducing clinical pain assessed through the analyzed variables among study participants. There was no difference between the groups and there was a strong correlation between these pain assessment instruments. LIMITATIONS: The absence of blinding to the different forms of treatment among the patients and the researcher directly involved in the treatment, the absence of a placebo group, the selective exclusion of women with comorbidities and other causes of CPP, and the difference between the number of sessions used for each technique. CONCLUSION: Treatments with ashi acupuncture and local anesthetic injections were effective in reducing clinical pain in women with abdominal myofascial pain syndrome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".