Association of Gastric Heterotopic Pancreas and Esophageal Atresia in Children
Bibliographic record
Abstract
OBJECTIVES: Esophageal atresia with or without tracheo-esophageal fistula is a frequent malformation that occurs in about 1 of 3000 live births. It can be associated with other congenital malformations. The aim of this study was to measure the frequency of heterotopic pancreas (HP) in children with esophageal atresia (EA) and to evaluate possible linkage with other malformations. MATERIALS AND METHODS: All patients with EA were prospectively followed since 2005 at Hôpital Sainte-Justine and since 2006 at the Montreal Children's Hospital. We compared 91 patients who underwent gastroscopy during that period with 182 control patients who submitted to gastroscopy for other indications. The presence or the absence of HP and its localization were noted in both groups. The following data were also collected on patients with EA: sex, gestational age, EA type, and other malformations. RESULTS: Seventeen (18.7%) of the 91 patients with EA had gastric HP compared with 1 (0.5%) in the control group (OR 42, 95% confidence interval 7-249, P < 0.001). There were no differences between patients with or without HP regarding sex, prematurity, EA type, and the presence or absence of other congenital abnormalities. CONCLUSIONS: This study demonstrates, for the first time, that gastric HP is associated with EA irrespective of other malformations.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".