A Multicenter Randomized Controlled Trial Comparing Patient-Controlled Epidural with Intravenous Analgesia for Pain Relief in Labor
Bibliographic record
Abstract
In Brief In this multicenter, randomized, controlled trial, we sought to determine whether patient-controlled epidural analgesia (PCEA) for labor affected the incidence of cesarean delivery when compared with patient-controlled IV opioid analgesia (PCIA). Healthy, term nulliparous patients in 4 Canadian institutions were randomly assigned to receive PCIA with fentanyl (n = 118) or PCEA with 0.08% bupivacaine and fentanyl 1.6 μg/mL (n = 124). There was no difference in the incidence of cesarean delivery—10.2% (12 of 118) versus 9.7% (12 of 124)—or instrumental vaginal delivery—21.2% (25 of 118) versus 29% (36 of 124)—between groups. The duration of the second stage of labor was increased in the PCEA group by a median of 23 min (P = 0.02). Fifty-one patients (43%) in the PCIA group received epidural analgesia: 39 (33%) because of inadequate pain relief and 12 (10%) to facilitate operative delivery. Patients in the PCIA group required more antiemetic therapy (17% versus 6.4%; P = 0.01) and had more sedation (39% versus 5%; P < 0.001). Maternal mean pain and satisfaction with analgesia scores were better in the PCEA group (P < 0.001 and P = 0.02, respectively). More neonates in the PCIA group required active resuscitation (52% versus 31%; P = 0.001) and naloxone (17% versus 3%; P < 0.001). These observations support the hypothesis that PCEA does not result in an increased incidence of obstetrical intervention compared with PCIA. PCEA provides superior analgesia and less maternal and neonatal sedation compared with PCIA. IMPLICATIONS: Two-hundred forty-two healthy, term, nulliparous patients in spontaneous labor were randomized to receive either patient-controlled IV or patient-controlled epidural labor analgesia. No difference in the incidence of cesarean delivery was observed between groups. The data support the hypothesis that epidural analgesia does not increase the incidence of cesarean delivery compared with IV analgesia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".