MétaCan
Menu
Back to cohort
Record W2781802550 · doi:10.1177/1932296817750166

Pump Users Clamor for Faster Insulin: Is Fast-Acting Insulin Aspart Ready for Them?

2018· letter· en· W2781802550 on OpenAlexaboutno aff
Douglas B. Muchmore

Bibliographic record

VenueJournal of Diabetes Science and Technology · 2018
Typeletter
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsInsulin aspartMedicineInsulin pumpInsulinDiabetes mellitusIntensive care medicineType 1 diabetesInternal medicineEndocrinologyHypoglycemia

Abstract

fetched live from OpenAlex

Recently approved in Europe, Canada, and the United States, fast-acting insulin aspart (FIASP®) is a new rapid acting insulin. Approved for subcutaneous or IV injection use, there is little data available regarding the clinical utility of FIASP in insulin pumps. The article by Zijlstra and colleagues in this issue begins to close this gap by testing pump compatibility of FIASP in the clinic. Reporting on a small (37 subjects) and short (6 weeks) study looking at aspects of infusion set propensity for clogging and malfunction, no cases of infusion set plugging in either FIASP (25 subjects) or insulin aspart (12 subjects) were seen. Unexplained hyperglycemia and premature infusion set changes were more common with FIASP than with insulin aspart. This study demonstrated sufficient safety and efficacy of FIASP in the pump setting to pave the way for longer, larger and more definitive clinical trials.

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)0.002
metaresearch head score (Gemma)0.013
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0160.021
Insufficient payload (model declined to judge)0.0040.005

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 head0.057
GPT teacher head0.324
Teacher spread0.266 · 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
GenreEditorial

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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Diabetes Science and TechnologySame topicDiabetes Management and ResearchFrench-language works237,207