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Record W3023419480 · doi:10.14341/probl200753533-40

[Management of hyperglycemia in type 2 diabetes: a consensus algorithm for the initiation and adjustment of therapy. (A consensus statement from the American Diabetes Association and the European Association for the Study of Diabetes)].

2007· other· en· W3023419480 on OpenAlexaff
David M. Nathan, J В Buse, Mauricia Davidson, R.J. Heine, Rury R. Holman, R. S. Sherwin, Bernard Zinman

Bibliographic record

VenuePubMed · 2007
Typeother
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStatement (logic)MedicineDiabetes mellitusType 2 diabetesReprintAssociation (psychology)AlgorithmDiabetes treatmentIntensive care medicineComputer sciencePsychologyPsychotherapistEndocrinologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This Russian translation and reprint of the original article published with authors permissions. Original article published in the Diabetes Care. 2006;29(8). Translation to Russian prepared by Yu. Sych. An abridged version of the article was prepared by A. Gorbovskaya. These recommendations and the algorithm are based on data from clinical studies of various treatment options for type 2 diabetes and on the personal experience of consensus participants, taking into account the main goal of treatment - to achieve and maintain glucose levels as close as possible to glycemia in healthy people. The lack of evidence of high levels of glycemia obtained in comparative clinical trials with a direct comparison of different treatment options for diabetes remains the main obstacle to isolating one main class of drugs or combination of drugs that have advantages over others.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.260
Teacher spread0.227 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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