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Record W2809573217 · doi:10.2337/db18-1096-p

Patient-Reported Outcomes following Initiation of Glucagon-Like Peptide-1 Receptor AgonistS (GLP–1RA) in PatientS with Type 2 Diabetes—PROGRESS-DIABETES Study

2018· article· en· W2809573217 on OpenAlexaboutno aff
Ruth E. Brown, Alexander Abitbol, Harpreet S. Bajaj, Hasnain Khandwala, Ronald Goldenberg, Suzan Abdel‐Salam, Ronnie Aronson

Bibliographic record

VenueDiabetes · 2018
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLiraglutideType 2 diabetesInternal medicineDiabetes mellitusWeight lossDulaglutideGlucagon-like peptide 1 receptorInterim analysisClinical trialPhysical therapyObesityEndocrinologyAgonist

Abstract

fetched live from OpenAlex

This prospective, observational cohort study evaluates patient-reported outcomes (PRO’s) in patients initiating GLP-1 RA therapy in a real-world setting. Patients with type 2 diabetes initiating GLP-1 RA therapy as part of their usual treatment approach were enrolled from Ontario-based LMC Diabetes and Endocrinology clinics. Patients completed questionnaires assessing medication and device satisfaction and medication adherence at baseline and at follow-up (3-6 months). Standard clinical outcomes were collected. To date, 320 subjects have been enrolled: 187 dulaglutide (DULA), 110 liraglutide (LIRA), and 23 switching from LIRA to DULA. At baseline, PRO’s and clinical measures were similar between cohorts (mean age 54.2 ± 10.1 years; mean HbA1c 8.4 ± 1.5%). In this interim analysis of 110 completers to date (mean follow-up 3.3 months), there was a trend for the 77 DULA completers to have greater improvements in PRO scores compared to the 33 LIRA completers (Figure). To-date, DULA subjects had a 1.1 ± 1.0% reduction in HbA1c and 2.2 ± 3.3 kg reduction in weight. The LIRA subjects showed similar trends (1.2 ± 1.0% reduction in HbA1c and 2.4 ± 3.2 kg reduction in weight). Interim analysis of this real-world, specialist-led registry of patients initiating GLP-1 RA therapy showed similar improvements in PRO’s and clinical outcomes. Disclosure R.E. Brown: None. A. Abitbol: Research Support; Self; JDRF, JA DeSeve Foundation, Lexicon Pharmaceuticals, Inc., Sanofi. Speaker's Bureau; Self; Sanofi. Research Support; Self; GlaxoSmithKline plc., Merck & Co., Inc.. Consultant; Self; Merck & Co., Inc.. Speaker's Bureau; Self; Merck & Co., Inc.. Research Support; Self; Novo Nordisk Inc.. Consultant; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Research Support; Self; Pfizer Inc., AstraZeneca. Consultant; Self; AstraZeneca. Speaker's Bureau; Self; AstraZeneca. Research Support; Self; Senseonics, Gilead Sciences, Inc.. Speaker's Bureau; Self; Amgen Inc., Janssen Pharmaceuticals, Inc.. Consultant; Self; Janssen Pharmaceuticals, Inc.. Employee; Self; LMC Diabetes & Endocrinology. Speaker's Bureau; Self; LMC Diabetes & Endocrinology, Valeant Pharmaceuticals International, Inc.. Consultant; Self; Valeant Pharmaceuticals International, Inc. H.S. Bajaj: Speaker's Bureau; Self; Abbott. Advisory Panel; Self; Amgen Inc.. Speaker's Bureau; Self; Amgen Inc.. Advisory Panel; Self; AstraZeneca. Consultant; Self; AstraZeneca. Research Support; Self; AstraZeneca. Speaker's Bureau; Self; AstraZeneca, Bayer AG. Advisory Panel; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH. Speaker's Bureau; Self; Boehringer Ingelheim GmbH. Advisory Panel; Self; Eli Lilly and Company. Research Support; Self; Eli Lilly and Company. Speaker's Bureau; Self; Eli Lilly and Company. Advisory Panel; Self; Janssen Pharmaceuticals, Inc.. Research Support; Self; Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Janssen Pharmaceuticals, Inc., Medtronic. Advisory Panel; Self; Merck & Co., Inc.. Research Support; Self; Merck & Co., Inc.. Speaker's Bureau; Self; Merck & Co., Inc., Mylan. Advisory Panel; Self; Novo Nordisk Inc.. Research Support; Self; Novo Nordisk Inc.. Speaker's Bureau; Self; Novo Nordisk Inc.. Advisory Panel; Self; Sanofi. Research Support; Self; Sanofi. Speaker's Bureau; Self; Sanofi. Advisory Panel; Self; Valeant Pharmaceuticals International, Inc.. Research Support; Self; Valeant Pharmaceuticals International, Inc.. Speaker's Bureau; Self; Valeant Pharmaceuticals International, Inc. H. Khandwala: Advisory Panel; Self; Eli Lilly and Company. Speaker's Bureau; Self; Novo Nordisk Inc., AstraZeneca. Advisory Panel; Self; Sanofi, Janssen Pharmaceuticals, Inc.. Speaker's Bureau; Self; Merck & Co., Inc.. Other Relationship; Self; Amgen Inc.. Speaker's Bureau; Self; Boehringer Ingelheim GmbH. R. Goldenberg: Advisory Panel; Self; Abbott, Amgen Inc., AstraZeneca. Speaker's Bureau; Self; Boehringer Ingelheim Pharmaceuticals, Inc.. Advisory Panel; Self; Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Novo Nordisk Inc., Sanofi. Speaker's Bureau; Self; Servier. Advisory Panel; Self; Merck & Co., Inc.. S. Abdel-Salam: None. R. Aronson: Other Relationship; Self; Novo Nordisk Inc., Janssen Pharmaceuticals, Inc., Sanofi, AstraZeneca. Research Support; Self; Eli Lilly and Company, Becton, Dickinson and Company, Merck & Co., Inc., Senseonics, Boehringer Ingelheim Pharmaceuticals, Inc..

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.257
Teacher spread0.245 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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