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Record W2341874093 · doi:10.17925/use.2013.09.02.114

Advances in Insulin Injection Research Influences Patient Adherence

2013· article· en· W2341874093 on OpenAlexaff
Ronnie Aronson, Timothy S. Bailey, Laurence Hirsch, Rita Saltiel-Berzin

Bibliographic record

VenueUS Endocrinology · 2013
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsLMC Diabetes & Endocrinology (Canada)
Fundersnot available
KeywordsInsulinMedicineGlycemicInsulin deliveryIntensive care medicineInternal medicineDiabetes mellitusEndocrinologyType 1 diabetes

Abstract

fetched live from OpenAlex

Insulin formulations and injection devices have improved dramatically since the first insulin injection was given in 1922. Adherence to insulin therapy, however, is estimated at 62–64 % despite research indicating that good glycemic control improves patient outcomes. The challenge is to improve the rates of adherence and to intensify or progress insulin therapy as needed. Changes in insulin delivery devices, especially innovations in needle technology in combination with education and support, have the potential to improve the comfort of insulin injections and encourage patients to adhere to their insulin regimens.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.002

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 head0.046
GPT teacher head0.374
Teacher spread0.328 · 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.

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

Citations7
Published2013
Admission routes1
Has abstractyes

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