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Record W2143916106 · doi:10.1177/0009922810397041

Trace Elements and Vitamins at Diagnosis in Pediatric-Onset Inflammatory Bowel Disease

2011· article· en· W2143916106 on OpenAlexaff
Sheena Sikora, Donald W. Spady, Connie Prosser, Wael El‐Matary

Bibliographic record

VenueClinical Pediatrics · 2011
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineUlcerative colitisInflammatory bowel diseaseGastroenterologyInternal medicineCrohn's diseaseCohortVitaminVitamin D and neurologyRetrospective cohort studyCase-control studyDisease

Abstract

fetched live from OpenAlex

AIM: To compare serum vitamin and mineral levels at diagnosis in children with inflammatory bowel disease (IBD) versus a control group without. METHODS: In a retrospective cohort study, serum levels of iron, zinc, folate, selenium, vitamin B( 12), vitamin A, and vitamin E in children with IBD at diagnosis were compared with gender- and age-matched controls. RESULTS: A total of 154 patients with IBD (mean age 11.27 ± 3.74 years, 83 boys, 80 with Crohn's disease) were recruited. The mean duration of symptoms prior to diagnosis was 5.4 ± 3.2 months for patients with Crohn's disease and 4.6 ± 2.9 months for patients with ulcerative colitis. A control group of 64 children was recruited. The mean serum zinc levels were 11.33 ± 4.16 µmol/L for ulcerative colitis, 8.74 ± 2.08 µmol/L for Crohn's disease and 11.49 ± 1.63 µmol/L for controls (P < .001). CONCLUSIONS: In newly diagnosed children with IBD, serum zinc levels are significantly lower compared with children without IBD.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.361
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), 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

Citations33
Published2011
Admission routes1
Has abstractyes

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