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Record W2807721218 · doi:10.1055/s-0038-1660509

Urinary Outcomes in Patients with Down's Syndrome and Hirschsprung's Disease

2018· article· en· W2807721218 on OpenAlexaboutno aff
Alexander J.M. Dingemans, Carlos A. Reck-Burneo, Molly Fuchs, Alejandra Vilanova-Sánchez, Victoria Lane, Erin Hoover, Tassiana Maloof, Laura Weaver, Marc A. Levitt, Richard J. Wood

Bibliographic record

VenueEuropean Journal of Pediatric Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicCongenital gastrointestinal and neural anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHirschsprung's diseaseUrinary systemDiseasePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Introduction Previous research in children with Hirschsprung's disease (HD) and Down's syndrome (DS) has focused on colorectal outcomes. We set out to review urinary outcomes in this patient group. Materials and Methods The medical records of all patients aged five years and older with HD were reviewed, and patients and caregivers filled out the Vancouver Symptom Score at intake, which is designed and validated to diagnose dysfunctional elimination syndrome. Results A total of 104 patients with HD were included in this study. Of these, 16 (15%) patients had DS. There were no significant differences in the prevalence of enterocolitis or colorectal symptoms between patients with or without DS. Five of 88 (6%) patients without DS and 7 of 16 (44%) (p = 0.00001) with DS reported having urinary accidents. Patients with HD and DS scored higher on the Vancouver score (9 vs. 17.5; p = 0.007), indicating more severe urinary symptoms. Patients who also reported fecal accidents scored significantly higher on the Vancouver (12 vs. 9; n = 61; p = 0.016), indicating more problems. Conclusion Patients with DS appear to be a unique subset of HD patients who have a higher prevalence of urinary symptoms after surgery. In the postoperative care of patients with HD and DS, a strong focus should be placed on postoperative urinary care in addition to their bowel care. This could significantly ease care and contribute to the quality of life of the parents and the patient.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2018
Admission routes1
Has abstractyes

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