Acupuncture therapy for postoperative pain of anorectal diseases
Bibliographic record
Abstract
BACKGROUND: The incidence of anorectal diseases has been increasing year by year, and the acupuncture treatment for postoperative pain of anorectal diseases has the excellent therapeutic effect. Currently, there are no relevant articles for systematic review. METHODS: We will search the randomized controlled trials related to acupuncture therapy and postoperative anorectal diseases from inception to January 2020. The following database is our focus area: PubMed, EMBASE, Springer, EBSCO, Web of Science, Cochrane, Controlled Trials Register (CENTRAL), the Cochrane Central Register of Controlled Trials (CENTRAL), China National Knowledge Infrastructure (CNKI), Wan-Fang Database and Chinese Scientific Journal Database (VIP database). The primary outcome is the pain of visual analogue scale (VAS). The secondary outcomes are the Symptom Checklist, Wong-Baker Faces Pain Rating (WB) Scale, verbalrating scale (VRS), and 36-Item Short Form Health Survey (SF-36) scale. We will use Review Manager Software (RevMan) V.5.2 for data analysis and quantitative data synthesis. The Cochrane collaborative tool will be used to assess the risk of bias in the included studies. RESULTS: Given the available evidence, this study will provide high level results for acupuncture therapy in treating postoperative pain of anorectal diseases. CONCLUSION: The conclusions of this study will provide evidence for whether acupuncture is effective in treating postoperative pain of anorectal diseases. PROSPERO REGISTRATION NUMBER: CRD42020150015.
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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 | 0.000 | 0.003 |
| 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) | 0.000 | 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".