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Record W4410208735 · doi:10.58931/cdet.2025.3139

GLP-1 Receptor Agonist Use in Pregnancy

2025· article· en· W4410208735 on OpenAlexaboutno aff
Irena Druce

Bibliographic record

VenueCanadian Diabetes & Endocrinology Today · 2025
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAgonistPregnancyReceptorPharmacologyChemistryMedicineInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

As of 2018 data, 30–60% of reproductive‑aged women in Canada were affected by overweight (body mass index [BMI] 25.9–29.9) and obesity (BMI >30.0), and these rates are increasing. Obesity during pregnancy is associated with higher rates of preeclampsia, gestational diabetes, macrosomia, stillbirth, post‑term pregnancy, and increased caesarean delivery rates. Obesity is also associated with higher rates of diabetes, which has well‑known consequences for pregnancy, and ovulatory dysfunction, which impacts fertility, such as in polycystic ovarian syndrome (PCOS). Addressing obesity and its associated metabolic impacts could have a profound effect on reproductive and fetal health. Since the 2000s, incretin-based therapies for diabetes and obesity have become the focus of research and clinical practice. Glucagon‑like‑peptide 1 (GLP-1), an endogenous incretin hormone secreted by intestinal L-cells in response to food intake, and its agonists, have been available for clinical use in Canada since the introduction of liraglutide in 2011. Recently, pharmacologic agonists of glucose-dependent insulinotropic polypeptide (GIP), an incretin synthesized in the K-cells of the duodenum and jejunum, have also become available. Dual agonism of these hormones is associated with more significant reductions in blood glucose and weight. The currently available incretin-based therapies are listed in Table 1, and their physiologic effects are summarized in Figure 1. Active research is underway on new molecules, for example agonists of amylin and glucagon, in various combinations with GLP‑1 and GIP, to maximize clinical benefits. These combinations have shown weight loss effects rivalling those of metabolic surgery. Considering their potential, this medication class has taken the world by storm. Canada's Drug Agency (CDA) found that expenditure on injectable semaglutide, under the brand-name Ozempic™, increased from $13.5 million in 2019 to $227 million in 2021, with 20% of the claims being for non-type 2 diabetes use. The metabolic improvements and weight loss achieved with incretin-based therapies are associated with improved fertility. While product monographs warn against use in pregnancy and lactation, conception while on these treatments is becoming more common. Considering this increasing reality, this review aims to summarize what is currently known about GLP-1 and GIP agonists and their effects during pregnancy.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.310
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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