Lidocaine before esophageal manometry and ambulatory pH monitoring: A randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Lidocaine is commonly applied to improve the tolerance of esophageal manometry (EM) and ambulatory pH monitoring (PM). We recently published data suggesting a benefit to this practice and we aimed to confirm these findings in a randomized trial. METHODS: We conducted a double-blind, randomized trial of lidocaine nasal spray versus placebo (saline) before EM and PM. Patients referred to our center who met inclusion criteria were enrolled. Patients were asked to fill a questionnaire after their test and patient-reported adverse effects were compared. KEY RESULTS: Three hundred and four patients were enrolled in our trial. Lidocaine and placebo groups were demographically similar. The primary outcome, pain during catheter insertion, occurred in 60/148 (40.5%) patients in the lidocaine group versus in 72/152 (47.4%) patients in the placebo group (OR: 0.76 [95% CI: 0.48-1.20]; p = 0.23). Patients receiving lidocaine were less likely to report nausea during test recording (OR: 0.48 [95% CI: 0.24-0.91]; p = 0.02) and reported slightly lower intensity of pain during both catheter insertion and test recording (4.68 ± 2.06 versus 5.41 ± 2.24 on 10; p = 0.048 and 3.71 ± 2.00 versus 4.93 ± 2.55 on 10; p = 0.03, respectively). Furthermore, patients receiving lidocaine were less likely to report their test as globally uncomfortable and painful (57% vs. 75%; p = 0.003 and 14% vs. 21%; p = 0.02, respectively). No events of systemic lidocaine toxicity occurred during the study period. CONCLUSIONS: Routine use of lidocaine before esophageal function tests does not reduce pain during catheter insertion but may provide other modest benefits with limited toxicity.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".