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Record W2804038033 · doi:10.1093/pch/pxy054.036

THE USEFULNESS OF DEAMIDATED GLIADIN PEPTIDE IN SCREENING PEDIATRIC PATIENTS FOR CELIAC DISEASE

2018· article· en· W2804038033 on OpenAlexaffabout
Michelle Gould, Herbert Brill, Margaret Marcon, Catharine M. Walsh

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsHospital for Sick ChildrenWilliam Osler Health SystemMcMaster Children's HospitalMcMaster UniversitySickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsSerologyMedicineTissue transglutaminaseGliadinBiopsyGold standard (test)GastroenterologyCoeliac diseaseAntibodyInternal medicineDiseaseImmunologyGlutenPathologyBiology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Celiac disease (CD) is an autoimmune enteropathy triggered by gliadin. The gold standard for diagnosis is small bowel biopsy. Screening with serologic markers to identify endoscopic candidates is commonly completed by paediatricians. The most common serologic marker used for screening is IgA anti-Tissue Transglutaminase (TTG) antibodies. Antibodies to deamidated gliadin peptide (DGP) is a newer assay with studies demonstrating a diagnostic performance similar to anti-TTG. In Canada, this assay has been added to many laboratory’s celiac screening panels. There is little evidence however regarding the usefulness of an isolated positive anti-DGP result in paediatric patients and no study has systematically assessed the presence of biopsy proven CD in solely anti-DGP positive paediatric patients. OBJECTIVES We sought to determine the positive predictive value of anti-DGP for biopsy proven CD in paediatric patients with negative TTG IgA testing. DESIGN/METHODS A multi-center retrospective review of children referred to three centers in Ontario, Canada between January 2015 and December 2016 who had isolated anti-IgG DGP positive CD serology was completed. To be included, patients required serology positive for DGP IgG and negative for all other celiac serologic tests, as well as a duodenal biopsy while on a gluten-containing diet. The positive predictive value of isolated anti-DGP was calculated. RESULTS A total of 83 patients were identified with anti-DGP positive, anti-TTG negative serology. Of these, 40 patients underwent endoscopy. Only 1 patient had findings consistent with CD on biopsy (Marsh 3B histology), yielding a positive predictive value of 2.5%. This patient was IgA deficient. Amongst the cohort of IgA sufficient patients (N=25), the positive predictive value of anti-DGP serology was 0%. One additional patient who was IgA sufficient had findings in keeping with Marsh 2 histology, but repeat TTG and DGP testing was negative. Five patients were found to be IgA deficient at the time of serologic testing, 25 were IgA sufficient and 10 did not have a measured IgA. CONCLUSION Isolated positive DGP IgG serology has a poor positive predictive value for CD, especially in IgA sufficient individuals. For this reason, DGP IgG testing should not be completed as part of the initial screening for celiac disease in the paediatric population unless a compelling reason, such as IgA deficiency or age under 2 years, is present, in order to prevent unnecessary invasive follow-up testing and costs to patients and the health care system.

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)0.003
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 score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.308
Teacher spread0.283 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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