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Record W4281810395 · doi:10.2337/db22-1324-p

1324-P: Short-Term Effects of Glycemia-Lowering Medications on ß-Cell Function in the GRADE Study

2022· article· en· W4281810395 on OpenAlexaboutno aff
Neda Rasouli, JEANINE ALBU, Robert M. Cohen, Ralph A. DeFronzo, Elsa Diaz, ALOKANANDA GHOSH, José A. Luchsinger, Janet B. McGill, Laure Sayyed Kassem, William I. Sivitz, William V. Tamborlane, Kristina M. Utzschneider, Naji Younes, Steven E. Kahn

Bibliographic record

VenueDiabetes · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLiraglutideMedicineInsulin glargineInternal medicineGlycemicType 2 diabetesEndocrinologyGlimepirideC-peptideInsulinDiabetes mellitusBasal insulinSitagliptin

Abstract

fetched live from OpenAlex

Therapies that preserve β-cell function and enhance glycemic control in type 2 diabetes are of great value. We examined β-cell function in GRADE participants after one year of intervention with insulin glargine U-100, glimepiride, liraglutide or sitagliptin. Participants who remained on originally assigned medication and had complete OGTT data at baseline and Year 1 were analyzed (n=3342 of 5047 initially randomized) . OGTT derived β-cell responses were measured as the ratio of the increment of C-peptide to glucose in the first 30 minutes (CPI) and over 120 minutes (CP/G AUC) . At baseline, age (57.7±9.7 y) , sex (63.5% male) , race (66.8% White) , BMI (34.2±6.7 kg/m2) , fasting C-peptide (1.3±0.5 nmol/L) , HOMA-B (87±35.2 %) , CPI (0.08±0.nmol/mg) and CP/G AUC (1.1±0.6 nmol/mg) did not differ by treatment group. At Year 1, measures of β-cell function were different by treatment groups (Table) . After pairwise analysis, glargine had the lowest fasting C-peptide while CP/G AUC was highest in the liraglutide group. When tested for treatment heterogeneity across subgroups, participants with longer duration of diabetes had smaller increases in CPI and CP/G AUC. Decreased fasting C-peptide by glargine is likely due to lower endogenous insulin secretion in the setting of exogenous insulin. Improved β-cell responses with liraglutide may indicate better β-cell function during the first year of treatment. Disclosure N. Rasouli: Advisory Panel; Eli Lilly and Company, Novo Nordisk, Sanofi. Research Support; Allergan, Eli Lilly and Company, Novo Nordisk. J. Albu: None. R.M. Cohen: Research Support; Dexcom, Inc. R.A. DeFronzo: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Intarcia Therapeutics, Inc., Novo Nordisk. Research Support; AstraZeneca, Boehringer Ingelheim International GmbH, Merck & Co., Inc. Speaker’s Bureau; AstraZeneca. E. Diaz: None. A. Ghosh: None. J.A. Luchsinger: None. J.B. McGill: Advisory Panel; Gilead Sciences, Inc., Lilly Diabetes, MannKind Corporation, Novo Nordisk A/S, Provention Bio, Inc., Salix Pharmaceuticals. Consultant; Bayer AG, Boehringer Ingelheim International GmbH. Research Support; Dexcom, Inc., Novo Nordisk. L. Sayyed Kassem: None. W.V. Tamborlane: Consultant; AstraZeneca, Boehringer Ingelheim International GmbH, Medtronic, Novo Nordisk, Sanofi, Takeda Pharmaceutical Company Limited. K. Utzschneider: Consultant; Nevro Corp. N. Younes: None. S.E. Kahn: Advisory Panel; Bayer AG, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Intarcia Therapeutics, Inc., Merck & Co., Inc., Novo Nordisk, Pfizer Inc. Funding National Institute of Diabetes and Digestive and Kidney Diseases (U01DK098246, U34-DK-088043)

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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
Published2022
Admission routes1
Has abstractyes

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