Influence of "Sancai" Acupuncture Treatment on Plasma and Urine SP,5-HT Levels of Renal Colic Patients
Bibliographic record
Abstract
Objective To observe the effect of "Sancai Needling"(superficial,medium and deep insertion of the acupuncture needle) combined with electroacupuncture(EA) stimulation of Shenshu(BL 23) on plasma and urine SP and 5-HT levels in renal colic patients,so as to study its mechanism underlying improvement of renal colic.Methods Sixty renal colic patients(lower-energizer stasis type) were randomly allocated to "Sancai Needling"-EA group,Ashi-point-EA group and routine EA treatment group,with 20 cases in each group.The "Sancai Needling"-EA meant that an acupuncture needle was inserted into the subcutaneous layer of BL 23 first and EA stimulation was given for 10 min;then the needle was inserted into the medium layer(muscle layer) and EA stimulation performed for 10 min;at last,the needle was further inserted into the periosteum-muscle layer and EA was performed for 10 min again.The procedures for Ashi-point-EA group were the same.For patients of the routine EA treatment group,EA was applied to BL 23 for 30 min.The therapeutic effect for pain was assessed according to McGill Pain Questionnaire.Plasma and urine SP and 5-HT contents were determined using enzyme-labeled immunosorbent assay(ELISA).Results In comparison with pre-treatment,pain scores,plasma and urine SP and 5-HT contents were remarkably decreased in renal colic patients of the "Sancai Needling"-EA group,Ashi-point-EA group and routine EA treatment group after the treatment(P<0.05).The effects of the "Sancai Needling"-EA group and Ashi-point-EA group were significantly superior to those of the routine EA treatment group in reducing pain score,plasma and urine SP and 5-HT contents(P<0.05).No statistical differences were found between the "Sancai Needling"-EA group and Ashi-point-EA group in pain score,plasma and urine SP and 5-HT contents(P>0.05).Conclusion "Sancai Needling"-EA treatment is effective in relieving renal colic in the patients,which may be closely associated with its effects in down-regulating plasma SP and 5-HT levels.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".