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Record W4381337438 · doi:10.2337/db23-180-or

180-OR: Baseline Predictors of Remission of Type 2 Diabetes in Response to Short-Term Insulin-Based Therapy—The Pivotal Role of Beta-Cell Function

2023· article· en· W4381337438 on OpenAlexaboutno aff
Ravi Retnakaran, Jiajie Pu, Alexandra Emery, Caroline K. Kramer, Bernard Zinman

Bibliographic record

VenueDiabetes · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineInsulin glargineType 2 diabetesDiabetes mellitusInsulinInsulin resistanceEndocrinologyLogistic regression

Abstract

fetched live from OpenAlex

Short-term treatment with insulin can induce remission of type 2 diabetes (T2DM) in some patients but not others. We thus sought to identify baseline predictors of diabetes remission in response to short-term insulin-based therapy. In this study, adult patients with T2DM of <7 years duration were randomized to 8-weeks treatment with (i) insulin glargine, (ii) glargine + thrice-daily lispro, or (iii) glargine + twice-daily exenatide, followed by 12-weeks washout that enabled assessment of remission (defined as A1c<6.5% after ≥3 months without glucose-lowering therapy). At baseline, 8-weeks, and washout, beta-cell function was assessed with 4 measures: Insulin Secretion-Sensitivity Index-2 (ISSI-2), insulinogenic index/HOMA-IR, ΔCpeptide0-120/Δglucose0-120×Matsuda, and ΔISR0-120/Δgluc0-120×Matsuda. Diabetes remission was achieved in 31 of 90 participants (34.4%). Compared to their peers, those who went on to remission had lower A1c (p<0.001) and better beta-cell function at baseline (all 4 measures p≤0.01). The non-remission and remission groups did not otherwise differ in baseline insulin sensitivity/resistance (Matsuda, HOMA-IR), BMI, duration of diabetes, pre-trial diabetes medications, or allocated insulin-based therapy during the trial. On logistic regression analyses, each baseline measure of beta-cell function emerged as a significant predictor of remission (log ISSI-2: adjusted OR 4.41 (95%CI: 1.71-11.34); log insulinogenic index/HOMA-IR: 2.21 (1.26-3.89); log ΔCpeptide0-120/Δglucose0-120×Matsuda: 1.62 (1.00-2.64); log ΔISR0-120/Δgluc0-120×Matsuda: 1.87 (1.09-3.23). Similarly, higher baseline ISSI-2 tertile predicted longer time to glycemic relapse after cessation of the insulin-based therapy (log-rank P=0.029). In conclusion, beta-cell function is the dominant baseline determinant of the likelihood of achieving remission of diabetes in response to short-term insulin-based therapy. Disclosure R.Retnakaran: Other Relationship; Sanofi, Eli Lilly and Company, Research Support; Boehringer Ingelheim/Mount Sinai Hospital, Novo Nordisk. J.Pu: None. A.Emery: None. C.K.Kramer: Research Support; Boehringer Ingelheim Inc. B.Zinman: Consultant; Abbott Diabetes, Eli Lilly and Company, Novo Nordisk A/S, Novo Nordisk Canada Inc., Boehringer Ingelheim Inc., Merck & Co., Inc. Funding Canadian Institutes of Health Research (MOP136938)

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: Observational · Consensus signal: Observational
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)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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
Published2023
Admission routes1
Has abstractyes

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