Effectiveness of Auricular Acupressure on Improving Pain and Heart Rate Variability in Patients After Cervical Spine Surgery
Bibliographic record
Abstract
Cervical spine surgery is a common neurosurgical procedure; however, postoperative pain remains a problem. This study aimed to examine the effectiveness of auricular acupressure, which is considered a noninvasive, convenient, and safe method for pain reduction and heart rate variability in patients after surgery. A total of 62 patients who underwent cervical spine surgery were randomly divided into experimental (32 patients) and control (30 patients) groups. Both groups received routine care, whereas the experimental group received auricular acupressure three times a day for four days. The Short-Form McGill Pain Questionnaire was administered, and heart rate variability measurements were obtained on the first, second, third, and fourth postoperative days. The results indicated that auricular acupressure was effective in reducing pain ( P < .05) and improving heart rate variability ( P < .05) in patients. Based on the findings, this study suggests that auricular acupressure can be used as a complementary treatment to reduce pain in patients after cervical spine surgery.
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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 | 0.001 |
| 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) | 0.001 | 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".