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Record W2948095884 · doi:10.2337/db19-1365-p

1365-P: Metabolic Control Three Years after Diagnosis in Children with T1D: Is DKA at Onset or HbA1c at Onset Closer Associated with Third Year HbA1c? Data from the International Pediatric Diabetes Registry SWEET

2019· article· en· W2948095884 on OpenAlexaboutno aff
Barbara Piccini, Anke Schwandt, İlknur Arslanoğlu, Roque Cardona‐Hernandez, R. Coutant, Craig Jefferies, Jae Hyun Kim, Olga Kordonouri, Catarina Limbert, Romualdas Tomas Preikša, Auste Pundziute Lyckå, Birgit Rami‐Merhar, Erick Richmond, Radka Savova, Sladjana Todorovic, HENDRIK J. VEEZE, Sonia Toni

Bibliographic record

VenueDiabetes · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePediatricsComa (optics)Type 1 diabetesCohortAge of onsetDiabetes mellitusPresentation (obstetrics)SurgeryInternal medicineEndocrinology

Abstract

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Objective: To establish if DKA at onset or HbA1c at onset is closer associated with metabolic control three years after diagnosis in a large, heterogeneous, international T1D cohort. Methods: Data were collected from the international diabetes registry SWEET. 1420 T1D children (54% boys; 994 from Northern Europe, 341 from Southern Europe, 85 from America/Canada), diagnosed before 18 years, with documented clinical presentation and HbA1c at onset and follow-up data available were included. Patients were grouped according to presentation at onset: DKA with coma, DKA without coma and no DKA; and HbA1c at onset: low (HbA1c <10%), medium (10-<12%) and high (≥12%). To adjust for age at onset, gender and region, linear regression models were applied (adjusted means with 95% CI). Vuong test was employed to compare the association between third year HbA1c and both HbA1c at onset and presentation at onset. Results: Median age at T1D onset was 9.1 [Q1; Q3: 5.8; 12.2] years. DKA with coma was present in 6% of children, DKA without coma in 37% and no DKA in 57%. No significant differences were found in third year HbA1c between DKA with coma 7.7 (7.4;8.0)%, DKA without coma 7.5 (7.4;7.6)% and no DKA group 7.6 (7.5;7.7)% [adjusted means (95% CI)]. Third year HbA1c was lower (7.4 (7.3;7.5)%) in low HbA1c compared to high HbA1c at onset group (7.7 (7.6;7.8)%, p<0.01). In the medium HbA1c group, third year HbA1c was 7.5 (7.4;7.6)% (no differences). Comparing the model with HbA1c at onset groups vs. the model with presentation at onset groups, the model with HbA1c at onset was closer associated with the third year HbA1c (p=0.02). Conclusions The high percentage of DKA at T1D onset is still a concern worldwide. The level of HbA1c at onset was more closely associated with long term T1D control than the DKA at onset. Early T1D diagnosis, preventing high HbA1c at onset as well as DKA at onset, is important for long term metabolic control. Disclosure B. Piccini: None. A. Schwandt: None. I. Arslanoglu: None. R. Cardona-Hernandez: None. R. Coutant: None. C.A. Jefferies: None. J. Kim: None. O. Kordonouri: None. C. Limbert: None. R. Preiksa: None. A. Pundziute Lyckå: None. B. Rami-Merhar: Speaker's Bureau; Self; Eli Lilly and Company, Medtronic, Menarini Group, Roche Diabetes Care. E. Richmond: None. R. Savova: None. S. Todorovic: None. H.J. Veeze: Consultant; Self; Medtronic MiniMed, Inc. S. Toni: None.

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)0.001
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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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