Efficacy of Midazolam/Meperidine vs Midazolam/Hydromorphone for Enteral Moderate Sedation in the Pediatric Dental Patient
Bibliographic record
Abstract
OBJECTIVE: The goal of this study was to compare the efficacy of midazolam/meperidine (M/M) vs midazolam/hydromorphone (M/H) for enteral moderate sedation along with inhalational sedation in pediatric dental patients. METHODS: This retrospective chart review analyzed the charts of pediatric patients who received dental treatment under enteral moderate sedation with either M/M or M/H in combination with inhalational sedation (nitrous oxide/oxygen) at El Rio Community Health Centers (affiliated with NYU Langone) in Tucson, Arizona, from July 2014 to December 2020. Included subjects were between 2 and 5 years of age, less than 20 kg, and otherwise healthy. In addition to demographic and drug-dosing data, treatment completion, sedation level, behavioral score, overall effectiveness, and sedation duration data were collected and analyzed from each patient's chart. RESULTS: No statistically significant differences were observed when comparing the 2 drug regimens in treatment completion (P = .89), sedation level (P = .74), and overall effectiveness (P = .70). There was a statistically significant difference in behavior scoring, with the M/H group demonstrating higher scores (P = .04) than the M/M group. CONCLUSION: The combination of midazolam and hydromorphone may provide an effective alternative to midazolam and meperidine when used with inhalational sedation (nitrous oxide/oxygen) for the moderate sedation of pediatric dental patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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".