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Record W4220787570 · doi:10.1097/xce.0000000000000260

A survey of physician experience and treatment satisfaction prescribing once-weekly semaglutide injections for patients with type 2 diabetes in Canada

2022· article· en· W4220787570 on OpenAlexaffabout

Bibliographic record

VenueCardiovascular Endocrinology & Metabolism · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsCARE Canada
Fundersnot available
KeywordsSemaglutideDiscontinuationType 2 diabetesMinimisation (clinical trials)GlycemicPatient satisfaction

Abstract

fetched live from OpenAlex

We assessed physicians' experiences of prescribing once-weekly (OW) semaglutide to patients with type 2 diabetes (T2D) in Canada. Physicians who had prescribed OW semaglutide to ≥2 patients with T2D in the past 12 months and had been doing so for ≥3 months were surveyed during 1-17 October 2018. Prescribing reasons, treatment satisfaction and reasons for discontinuation were assessed. Of the 50 participants, 72% and 54% were prescribed OW semaglutide due to its superior glycemic control and effect on weight, respectively. Most physicians were more satisfied with injection frequency (62%), effect on weight (60%), achieving HbA1c target (54%) and therapy simplicity (50%) with OW semaglutide versus other glucagon-like peptide-1 receptor agonists. Treatment discontinuations in 13% of OW semaglutide-treated patients were reported by physicians, primarily due to gastrointestinal symptoms (70%). The survey suggests that physicians are satisfied with the OW semaglutide clinical effects. Video Abstract: http://links.lww.com/CAEN/A34.

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)0.000
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 score0.231
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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