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Record W4313331218 · doi:10.21203/rs.3.rs-2406607/v1

Effect of Trisomy 21 on Long-term Gastrointestinal Outcomes in Duodenal Atresia

2022· preprint· en· W4313331218 on OpenAlexafffund
Anna Zrinyi, Suyin A. Lum Min, Emmanuel A. Bello, Charanpal Singh, Richard Keijzer

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchUniversity of Manitoba
KeywordsMedicineGastroenterologyInternal medicineAtresiaStomachDown syndromeTrisomyBiology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.042
GPT teacher head0.423
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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