Auriculotherapy in the prevention of postoperative urinary retention in patients with thoracotomy and thoracic epidural analgesia
Bibliographic record
Abstract
BACKGROUND: Thoracic epidural analgesia is associated with a high rate of postoperative urine retention (POUR). Auriculotherapy can reduce visceral dysfunction and can be helpful in anesthesiology and pain control. The aim of this study was to test the efficacy of preoperative auriculotherapy to decrease the occurrence of POUR. METHODS: This single-center, double-blinded, 2-arm randomized study was performed between January 2015 and May 2016 in a tertiary care university hospital. Male patients scheduled for an elective lung surgical procedure under combined general anesthesia and thoracic epidural analgesia were included. Auriculotherapy (A group) was performed once the patient was under general anesthesia with 5 semi-permanent needles inserted in both ears at the "Shen Men" "bladder", "pelvic parasympathetic", "anterior hypothalamus", and "frontal lobe" points. Five small round patches of adhesive pads were positioned bilaterally at the same points in the control group (C group). The main outcome measure was the requirement for bladder catheterization during the day and the first night following surgery. RESULTS: Fifty-three patients were randomized and 25 analyzed in each group. Requirement for bladder catheterization was different between groups: 24 C group patients (96%) and 18 A group patients (72%) (P = .049, Fisher exact test; Odds Ratio = 0.11 [0.01-0.95]. The number of patients needed to treat with auriculotherapy to avoid 1 case of bladder catheterization was 4. No adverse effect was observed due to auriculotherapy. CONCLUSION: This study demonstrates that auriculotherapy is a safe and useful technique reducing POUR in thoracotomy patients benefiting from thoracic epidural analgesia. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT02290054 (November 13, 2014).
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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 | 0.000 |
| 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) | 0.000 | 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".