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Record W2299322097 · doi:10.18553/jmcp.2005.11.s1-b.1

Trends in the Management of Type 2 Diabetes: An Emerging Role for Insulin

2005· review· en· W2299322097 on OpenAlexfundno aff
Seth Braunstein, John R. White

Bibliographic record

VenueJournal of Managed Care Pharmacy · 2005
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
FundersSchool of Medicine, New York UniversityNational Institutes of HealthYork UniversityUniversity of PennsylvaniaGlaxoSmithKlineWashington State UniversityAstraZenecaBristol-Myers SquibbPfizerNovo NordiskAmerican Diabetes Association
KeywordsMedicineGlycemicInsulinType 2 diabetesDiabetes mellitusIntensive care medicineBasal insulinPharmacyDiabetes managementInternal medicineEndocrinologyFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This review is intended to explore the pathophysiology of type 2 diabetes, examine the role of insulin as a means of achieving glycemic control in people with type 2 diabetes, and provide a practical approach for insulin use in type 2 diabetes in the managed care setting. DATA SOURCES: This manuscript is based on the results of a MEDLINE literature search and presentations by the authors at a symposium titled, "Emerging Changes in Diabetes Management," that took place on October, 14, 2004, at the Academy of Managed Care Pharmacy's 2004 Educational Conference in Baltimore, Maryland. CONCLUSIONS: Despite advances in oral treatment, type 2 diabetes remains a substantial source of microvascular and macrovascular complications that cause unacceptable levels of morbidity, mortality, and cost. Accumulating clinical evidence suggests that insulin treatment, both basal and prandial, can advance the treatment of type 2 diabetes and reduce the risks for serious sequelae by providing consistent and optimal glycemic control. By more closely mimicking the actions of endogenous insulin, in terms of onset and duration of action, insulin analogues offer clear advantages over their regular insulin counterparts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.072
GPT teacher head0.411
Teacher spread0.339 · 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 designOther design
Domainnot available
GenreReview

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

Citations6
Published2005
Admission routes1
Has abstractyes

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