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Record W3184973978 · doi:10.1177/14791641211021374

The impact of flash glucose monitoring on glycated hemoglobin in type 2 diabetes managed with basal insulin in Canada: A retrospective real-world chart review study

2021· article· en· W3184973978 on OpenAlexaffabout
Tom Elliott, Sorin Beca, Rajendra Beharry, Michael A. Tsoukas, Alexandro Zarruk, Alexander Abitbol

Bibliographic record

VenueDiabetes and Vascular Disease Research · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsLMC Diabetes & Endocrinology (Canada)
Fundersnot available
KeywordsMedicineGlycated hemoglobinDiabetes mellitusType 2 diabetesBasal (medicine)InsulinRetrospective cohort studyMedical recordInternal medicineDiabetes managementHemoglobinType 1 diabetesEndocrinology

Abstract

fetched live from OpenAlex

Background: The real-world effect of intermittently scanned continuous glucose monitoring on glucose control in type 2 diabetes treated with basal insulin is uncertain. This retrospective real-world study aimed to evaluate change in glycated hemoglobin (HbA1c) amongst adults with type 2 diabetes managed with basal insulin starting flash glucose monitoring. Methods: Medical records were reviewed for adults with type 2 diabetes treated with basal insulin for ⩾1 year and using FreeStyle Libre TM Flash Glucose Monitoring for ⩾3 months. Prior to device use an HbA1c 8.0%–12.0% was recorded and a further HbA1c result was recorded 3–6 months (90–194 days) after starting device use. Results: Medical records ( n = 91) analyzed from six Canadian diabetes centers showed HbA1c significantly decreased by 0.8% ± 1.1 (mean ± SD, [ p < 0.0001]) from mean baseline HbA1c 8.9% ± 0.9 to 8.1% ± 1.0 at 3–6 months after initiating flash glucose monitoring. HbA1c improvement was not independently associated with age, BMI, insulin use duration, or sex. Conclusion: This Canadian real-world retrospective study showed significantly reduced HbA1c following initiation of flash glucose monitoring technology to further support management of type 2 diabetes treated with basal insulin.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.050
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.343
Teacher spread0.314 · 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

Citations51
Published2021
Admission routes2
Has abstractyes

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