Effect of Trisomy 21 on Long-term Gastrointestinal Outcomes in Duodenal Atresia
Bibliographic record
Abstract
Abstract Purpose We aimed to determine if Trisomy 21 (T21) affected gastrointestinal outcomes for children with duodenal atresia (DA). Methods We identified children born with DA between 1991-2017. Cases were divided into DA with T21 and DA without T21. Ten healthy controls per case were included. Esophageal, ulcerative, obstructive and stomach complaints were assessed. Risk ratios (RR), rate ratios (RaR) and Cox models were constructed. Analyses were performed for cases versus controls, and for T21 cases versus non-T21 cases. Results DA cases totaled 52: 22 had T21 and 30 did not. There were 520 controls. DA cases had more gastrointestinal complaints than controls. T21 cases were at greater risk and frequency of esophageal disease than non-T21 cases (RR=4.08, p=0.002, RaR=69.8, p<0.001). T21 and non-T21 cases were equally likely to present with obstruction (RR=0.91, p=1), but T21 cases complained of obstructive symptoms less (RaR=0.57, p=0.003). T21 and non-T21 cases had the same risk of stomach diseases, but T21 cases complained more frequently (RaR=6.20, p<0.001). Cox models supported these observations. T21 did not affect ulcerative diseases. Conclusion DA cases had more gastrointestinal problems than controls. T21 increased esophageal and gastric complaints in DA cases but did not affect ulcerative and obstructive complaints.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".