MétaCan
Menu
Back to cohort
Record W3021050932 · doi:10.1210/jendso/bvaa046.071

OR30-06 Assessment of Dulaglutide Safety in Older Patient Populations in Rewind

2020· article· en· W3021050932 on OpenAlexaff
Маниге Кониг, Hertzel C. Gerstein, Mark Lakshmanan, Denis Xavier, Charles Atisso, Sheryl Allen, William C. Cushman, Lawrence A. Leiter, Peter Raubenheimer, Edward Franek

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsSt. Michael's HospitalMcMaster University
Fundersnot available
KeywordsDulaglutideMedicineHazard ratioIncidence (geometry)Proportional hazards modelConfidence intervalHypoglycemiaPopulationAdverse effectClinical endpointInternal medicineDiabetes mellitusRandomized controlled trialPediatricsType 2 diabetesExenatideInsulinEnvironmental healthEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background: Dulaglutide (DU) was superior to placebo (PL) in reducing the incidence of Major Adverse Cardiovascular Events in the Researching Cardiovascular Events with a Weekly INcretin in Diabetes (REWIND Study) broad patient population. The safety of DU treatment is also of interest to health care providers who treat an older patient population (≥65 years of age). Aims: The primary objective of this post-hoc analysis was to evaluate DU safety in the REWIND patient subgroup populations categorized by age (≥ 65 and < 65 years) with regards to the occurrence of the composite safety outcome of overall mortality and severe hypoglycemia. One of the key secondary objectives was first occurrence of severe hypoglycemia. Methods: Patients were grouped into two age groups: ≥65 and <65 years. Time-to-event for the composite safety endpoint as well as individual variables were analyzed using Cox proportional hazards regression. Hazard ratios (HRs) and 95% confidence intervals (CIs) for between group treatment differences were also calculated. Results: Of the 9,901 patients randomized in REWIND, a total of 5,256 (DU, 2,619; PL, 2,637) were aged ≥65 years. The incidence of the composite safety outcome for patients aged ≥65 years was 399 of 2619 (15.2%) for DU-treated patients and 425 of 2,637 (16.1%) for PL-treated patients. The incidence of the composite safety outcome for those aged <65 years was 188 of 2,330 (8.1%) for DU-treated patients and 224 of 2,315 (9.7%) for PL-treated patients. Between group treatment differences (HR [95% CI]) were 0.94 (0.82, 1.08) for patients ≥65 years of age and 0.82 (0.68, 1.00) for patients <65 years of age; interaction p-value = 0.277. The incidence of the secondary outcome of first occurrence of severe hypoglycemia for patients aged ≥65 years was 46 of 2619 (1.8%) for DU-treated patients and 49 of 2,637 (1.9%) for PL-treated patients. The incidence of this outcome for patients <65 years was 18 of 2,330 (0.8%) for DU-treated patients and 25 of 2,315 (1.1%) for PL-treated patients. Between group treatment differences (HR [95% CI]) were 0.95 (0.63, 1.42) for patients ≥65 years of age and 0.71 (0.39, 1.31) for patients <65 years of age; interaction p-value = 0.443. The safety profile of DU was reviewed based upon the results of subgroup analysis of treatment emergent adverse events and serious adverse events by preferred terms for comparing PL and DU for age subgroups (≥65 years of age versus <65 years). None of the results indicated that DU has a different safety profile across the age subgroups evaluated in this post-hoc analysis. Conclusions: Treatment with DU demonstrated similar safety in REWIND patients aged ≥65 years and those aged <65 years. Dulaglutide can be considered a safe and effective treatment option for use in older adults.

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)0.004
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.316
Teacher spread0.287 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Endocrine SocietySame topicDiabetes Treatment and ManagementFrench-language works237,207