Effects of an individualized analgesia protocol on the need for medical interventions after adenotonsillectomy in children: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: It has been proposed that the dose of rescue opioids should be individually titrated to the severity of obstructive sleep apnea after adenotonsillectomy. However, a sleep study is not always available before adenotonsillectomy. This randomized, controlled and blinded trial evaluated a strategy of pain control individualized to the results of a fentanyl test, rather than the results of polysomnography, in children after adenotonsillectomy. METHODS: A total of 280 children (3-10 years old) undergoing elective adenotonsillectomy were randomized into an individualized protocol (IP) group or a conservative protocol (CP) group. All patients received a fentanyl test before extubation. Pain was assessed every 10 min in the recovery room, and rescue morphine was given when the Children's Hospital of Eastern Ontario Pain Scale (CHEOPS) score was > 6. In the IP group, the dose of rescue morphine was individualized to the results of the fentanyl test (10 μg/kg in the case of a positive result and 50 μg/kg in the case of a negative result). In the CP group, the dose was fixed (25 μg/kg). The primary outcome was the percentage of patients requiring at least one medical intervention. The secondary outcome was the median duration of CHEOPS scores > 6. RESULTS: Fewer patients in the IP group than in the CP group required medical interventions [11.9% (16/134) vs 22.3% (29/130), P = 0.025]. The median duration of CHEOPS scores > 6 was shorter in the IP group than in the CP group [20 (95% CI: 17 to 23) min vs 30 (95% CI: 28 to 32) min, P < 0.001]. CONCLUSIONS: Compared with a conservative dosing approach, this individualized protocol may improve analgesia without a significant increase in respiratory adverse events. TRIAL REGISTRATION: ClinicalTrials.gov NCT02990910 , registered on 13/12/2016.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".