Management of Hirschsprung’s Disease: A Survey with Brazilian Pediatric Surgeons
Bibliographic record
Abstract
BACKGROUND: Hirschsprung's disease (HD) is a congenital malformation of the enteric nervous system clinically manifested by intestinal obstruction in the neonatal period or severe constipation in childhood. Several surveys on HD have been conducted to evaluate experiences in its management around the world. For the first time in Brazil, we analyze and report the management patterns of HD among pediatric surgeons in Brazil. METHODS: A validated questionnaire was disseminated in print at the Congress of Pediatric Surgery in São Paulo-Brazil, and an online version was sent to all the active members of the Brazilian and Paulista Institute of Pediatric Surgery. RESULTS: In total, 361 pediatric surgeons answered the survey. Of these, 329 completed all questions (response rate: 91%). Most Brazilian services treat fewer than 10 cases of HD annually. The preferred diagnostic method was rectal biopsy. For newborns (NBs) and infants, open biopsy was the most commonly used technique. For NBs with HD clinically stable 50% of specialists chose immediate surgery. In NBs and infants with classic HD, the Soave technique (69%) is the most common surgical intervention, and the transanal route (80%) is the preferred surgical approach. In children over 3 years of age with classic HD, the most-used technique is the Duhamel method (54%), with the open approach being the most common (52%). CONCLUSIONS: Our study in Brazil found that HD patient management aligns with scientific evidence and international guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".