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Record W3038415136 · doi:10.1007/s13300-020-00869-z

Evaluation of Characteristics of Gastrointestinal Adverse Events with Once-Weekly Dulaglutide Treatment in Chinese Patients with Type 2 Diabetes: A Post Hoc Pooled Analysis of Two Randomized Trials

2020· article· en· W3038415136 on OpenAlexaff
Lixin Guo, Bin Zhang, Jianing Hou, Zhiguang Zhou

Bibliographic record

VenueDiabetes Therapy · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsMinistry of Education and Child Care
FundersEli Lilly and Company
KeywordsMedicineDulaglutidePost-hoc analysisType 2 diabetesDiabetes mellitusAdverse effectInternal medicineRandomized controlled trialPooled analysisPost hocTraditional medicineExenatideMeta-analysisEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Gastrointestinal (GI) events are a common side effect of glucagon-like peptide 1 (GLP-1) receptor agonists (RA) class. This post hoc analysis assessed the characteristics of GI adverse events in Chinese patients with type 2 diabetes (T2D) who were treated with once-weekly dulaglutide from two randomized clinical trials. METHODS: Chinese patients with T2D, treated with once-weekly dulaglutide (1.5 mg and 0.75 mg) from two phase III multicenter trials (AWARD-CHN1 and AWARD-CHN2) were included. Descriptive statistics were used to present the data. The characteristics (incidence, severity, onset, duration, and time of occurrence) of GI adverse events reported through 26 weeks in a Chinese subpopulation from the two trials were investigated. RESULTS: A total of 787 Chinese patients with T2D were included in this analysis. Up to week 26, 225 patients (28.6%) reported at least one GI treatment-emergent adverse event (TEAE). The most frequently reported GI TEAEs were diarrhea (13.1%), nausea (6.6%), abdominal distension (6.4%), and vomiting (3.0%), with most being categorized as mild to moderate in severity in proportions of 92%, 88%, 94%, and 83%, respectively. A total of 12 patients (1.5%) discontinued the dulaglutide treatment as a result of GI TEAEs. The median duration of the first reported GI TEAEs was 4.0, 5.0, 12.5, and 4.0 days for diarrhea, nausea, abdominal distension, and vomiting, respectively. The incidence of GI TEAEs was more frequent during the first 2 weeks of dulaglutide treatment; however, the incidence declined rapidly after 2 weeks and remained low until week 26. CONCLUSIONS: Most of the GI TEAEs associated with once-weekly dulaglutide (1.5 mg and 0.75 mg) were mild to moderate in severity. The incidence of GI TEAEs was more pronounced during the first 2 weeks of dulaglutide treatment but declined rapidly as treatment continued, and was low at week 26, indicating that dulaglutide was well tolerated in Chinese patients with T2D. TRIAL REGISTRATION: NCT01648582 and NCT01644500.

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)0.031
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.019
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.029
GPT teacher head0.302
Teacher spread0.274 · 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 designMeta-analysis
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

Citations5
Published2020
Admission routes1
Has abstractyes

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