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Do Dipeptidyl Peptidase-4 Inhibitors Increase the Risk of Heart Failure inPatients with Type 2 Diabetes?

2021· article· en· W4200570113 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Diabetes Reviews · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineType 2 diabetesDipeptidyl peptidase-4Diabetes mellitusIntensive care medicineClinical trialHeart failureLinagliptinBioinformaticsPharmacologyInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Dipeptidyl peptidase-4 inhibitors (DDP-4Is) or gliptins have been extensively studied in recent years. These studies have shown the safety and efficacy of gliptins in managing hyperglycemia in diabetic patients. However, there is an ongoing debate on whether DDP-4Is are associated with a higher risk for developing heart failure. It is expected that long-term data from patients who are currently prescribed DDP-4Is will provide a clearer understanding of their potential benefits. This should also help guide the development of future guidelines. The focus of this perspective is on associations between the "use of DPP-4Is" and "increased risk of heart failure". Thus, we examine several key publications and reviews on clinical trials on this class of oral antidiabetic medications. For this communication, the pertinent literature has been critically analyzed to provide an evidence-based overview of the evolving concept of DPP-4Is-induced risk of heart failure.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.274
Teacher spread0.254 · 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