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Record W3035149598 · doi:10.2337/db20-1018-p

1018-P: Ultra-Rapid Lispro (URLi) Showed Greater Reduction in Postprandial Glucose (PPG) vs. Humalog in Children, Adolescents, and Adult Patients with Type 1 Diabetes (T1D)

2020· article· en· W3035149598 on OpenAlexaff
Ronnie Aronson, Helle Linnebjerg, Jennifer Leohr, Elizabeth LaBell, David E. Coutant, Qianyi Zhang, Thomas Danne, Robyn K. Pollom

Bibliographic record

VenueDiabetes · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsSystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsInsulin lisproMedicinePostprandialCrossover studyInternal medicineMealEndocrinologyInsulinType 1 diabetesDiabetes mellitusPlacebo

Abstract

fetched live from OpenAlex

URLi is a novel insulin lispro formulation that was developed to more closely match physiological insulin secretion. This 2-site, randomized, 2-period crossover, double-blind study evaluated the pharmacokinetics and glucodynamics during a liquid test meal, after a single 0.2 U/kg SC dose of URLi or Humalog in 13 children, 14 adolescents, 15 adults with T1D. Onset of insulin appearance was faster with URLi vs. Humalog in children (1.1 vs. 6.5 min; p=0.0002), adolescents (1.9 vs. 6.4 min; p=0.001), and adults (0.9 vs. 4.8 min; p=0.004). Early exposure (AUC0-15min) was greater with URLi vs. Humalog: 7-fold (p<0.0001) in children, 4 fold (p=0.0003) in adolescents, 5-fold (p<0.0001) in adults; late exposure (AUC3-7h) was reduced by 58% (p<0.0001) in children, 40% (p=0.013) in adolescents, 37% (p=0.021) in adults. Total exposure was similar in URLi and Humalog. At 1h, URLi reduced PPG by 42 mg/dL (p=0.008) in children, 19 mg/dL (p=0.195) in adolescents, 34 mg/dL (p=0.018) in adults, vs. Humalog. At 2h, URLi reduced the PPG by 32 mg/dL (p=0.11) in children, 39 mg/dL (p=0.051) in adolescents and was not statistically different in adults, vs. Humalog. URLi was well tolerated in all age groups. In summary, URLi accelerated insulin lispro absorption, reduced late exposure and early PPG following a test meal vs. Humalog in children, adolescents, and adults with T1D. Disclosure R. Aronson: None. H. Linnebjerg: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. J. Leohr: None. E.S. LaBell: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company, Johnson & Johnson, Novartis AG. D.E. Coutant: Employee; Self; Eli Lilly and Company. Employee; Spouse/Partner; Eli Lilly and Company. Q. Zhang: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. T. Danne: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Medtronic, Novo Nordisk A/S, Sanofi. R.K. Pollom: Employee; Self; Eli Lilly and Company. Stock/Shareholder; Self; Eli Lilly and Company. Funding Eli Lilly and Company

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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 designNon-randomized trial
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

Citations1
Published2020
Admission routes1
Has abstractyes

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