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Record W2022069934 · doi:10.1185/03007995.2011.621416

Barriers to effective insulin treatment: the persistence of poor glycemic control in type 2 diabetes

2011· article· en· W2022069934 on OpenAlexafffundabout
Stuart A. Ross, Hugh D. Tildesley, John Ashkenas

Bibliographic record

VenueCurrent Medical Research and Opinion · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
FundersNovo Nordisk Canada
KeywordsMedicineGlycemicHypoglycemiaIntensive care medicineInsulinType 2 diabetesDiabetes mellitusDiabetes managementInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Contrary to longstanding recommendations on type 2 diabetes (T2D) management, the de facto standard of care in Canada includes lag times of many years prior to introducing effective glycemic control. Even patients transitioned to insulin may continue to experience poor glycemic control, with attendant diabetic complications, suggesting poor adherence or inadequate dose titration. OBJECTIVE: To identify barriers to timely and effective use of insulin in T2D. METHODS: PubMed searches were conducted to find research articles on insulin initiation, adherence and intensification. Also, because recent data on the consequences of intensive glycemic control may be taken as justification for relaxing glycemic targets, a secondary search on this literature was conducted, including the UKPDS and ACCORD trials, plus post hoc and meta-analyses of these data. No formal evaluation of level of evidence was conducted while researching this narrative literature review. FINDINGS: Timely, effective glycemic control remains an important clinical goal but is complicated by patient, physician and treatment factors. Patient barriers to accepting insulin initiation include fear of hypoglycemia, injections and weight gain, and reluctance to accommodate the inflexible timing of scheduled insulin doses. Adherence issues, including dose omission, are common and are associated with some of the same factors. Fear of hypoglycemia also underlies many physicians' reluctance to prescribe insulin. Caregivers' failure to provide training or answer questions about insulin's risks and benefits was also associated with low patient adherence. Poor communication may also be at fault when patients on insulin fail to titrate or intensify their treatment adequately. Conversely, glycemic control can be significantly improved by facilitating ongoing communication between patients and caregivers. DISCUSSION: Although innovations in injectable therapy for T2D may help address the current pattern of poor glycemic control, improved communication between patients and caregivers is also a powerful approach and can be implemented with existing therapies.

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)0.017
metaresearch head score (Gemma)0.069
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.069
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.007
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.097
GPT teacher head0.390
Teacher spread0.294 · 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

Citations153
Published2011
Admission routes3
Has abstractyes

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