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Record W4318822448 · doi:10.12788/jfp.0515

Basal Insulin/GLP-1 RA Fixed-Ratio Combinations as an Option for Advancement of Basal Insulin Therapy in Older Adults With Type 2 Diabetes

2023· article· en· W4318822448 on OpenAlexaff
Mark D. Corriere

Bibliographic record

VenueThe Journal of Family Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsEli Lilly (Canada)AstraZeneca (Canada)
FundersSanofi
KeywordsMedicineType 2 diabetesGlycemicDiabetes mellitusInsulinPopulationBasal insulinBasal (medicine)DiseaseGerontologyIntensive care medicineInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

The prevalence of type 2 diabetes (T2D) is increasing, and owing to the aging population, the number of older adults with T2D is growing rapidly. By virtue of their age, older adults are likely to have been living with the disease longer than their younger counterparts. This, coupled with differences in T2D pathophysiology between younger and older patients, means that older adults often require advancement of treatment from basal insulin. However, older adults with T2D represent a heterogeneous population, for whom the goals of treatment are complex, and overtreatment can increase the risk of complications. These factors highlight the need for individualized glycemic targets and therapeutic strategies. In this roundtable, the authors discuss the management of older adults with T2D--a large patient population who often require treatment simplification.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.329
Teacher spread0.299 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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