P1189 GASTROESOPHAGEAL REFLUX IN INDONESIAN INFANT WITH REGURGITATION
Bibliographic record
Abstract
Introduction: Regurgitation is one of the most common complain in infants, including in Indonesian infants. It was reported that 60% infants age 4–6 months have regurgitation at least 1 times per day. Data from developed countries showed that 10% of regurgitating infants suffer from abnormal acid gastroesophageal reflux (GER), documented with a pathological pH metry with a reflux index (IR) >5%. No data exist in Indonesian infants. A pilot study was performed to evaluate the prevalence of GER in Indonesian infants and the correlation between GER, position and nutrition. Methods: We enrolled 75 regurgitating infants in this prospective study, age 1–12 months, admitted to Pediatric Gastroenterology Division, Department of Child Health, Cipto Mangunkusumo Hospital, Jakarta for esophageal pH monitoring. Results: The prevalence of GER with a RI >5% was 32%, and there was no significant difference between infants below 6 months of age and infants above 6 months of age (0.05 5% was more prevalent in infants with low than infants with a normal nutritional status (58% vs 8%) (p<0.001). There was a significance correlation in index reflux between upright and supine position (p<0.001), also during meal and postprandial (p<0.001). Conclusion: The prevalence of GER in Indonesian infants with regurgitation is quite high and the nutritional status was related to the severity of GER. Gastroesophageal reflux with IR5% can occurred upright and supine position or during meal and posprandial with the same risk.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".