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Record W2001643246 · doi:10.1136/ebn.9.2.49

Inhaled insulin added to or replacing 2 oral agents reduced haemoglobin A<sub>1c</sub>concentrations in type 2 diabetes

2006· letter· en· W2001643246 on OpenAlexaffabout
Linda J. Patrick

Bibliographic record

VenueEvidence-Based Nursing · 2006
Typeletter
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMedicineInsulinWeb of scienceType 1 diabetesRegimenType 2 diabetesInternal medicineGastroenterologyDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Rosenstock J, Zinman B, Murphy LJ, et al . Inhaled insulin improves glycemic control when substituted for or added to oral combination therapy in type 2 diabetes: a randomized, controlled trial. Ann Intern Med 2005;143:549–58.[OpenUrl][1][PubMed][2][Web of Science][3] Q Does inhaled insulin added to or replacing 2 oral agents reduce haemoglobin A1c (HbA1c) concentrations in type 2 diabetes? ### ![Graphic][4]</img>Design: randomised controlled trial. ### ![Graphic][5]</img>Allocation: concealed. ### ![Graphic][6]</img>Blinding: unblinded. ### ![Graphic][7]</img>Follow up period: 12 weeks. ### ![Graphic][8]</img>Setting: 48 outpatient centres in the US and Canada. ### ![Graphic][9]</img>Patients: 309 outpatients 35–80 years of age (mean age 57 y, 65% men) who were diagnosed with type 2 diabetes ⩾1 year earlier, were treated with a stable oral agent regimen of 2 antidiabetic medications (1 insulin secretagogue and 1 insulin sensitiser), and had HbA1c concentrations of 8–11%. Exclusion criteria … [1]: {openurl}?query=rft.jtitle%253DAnnals%2Bof%2BInternal%2BMedicine%26rft.stitle%253DANN%2BINTERN%2BMED%26rft.aulast%253DRosenstock%26rft.auinit1%253DJ.%26rft.volume%253D143%26rft.issue%253D8%26rft.spage%253D549%26rft.epage%253D558%26rft.atitle%253DInhaled%2BInsulin%2BImproves%2BGlycemic%2BControl%2BWhen%2BSubstituted%2Bfor%2Bor%2BAdded%2Bto%2BOral%2BCombination%2BTherapy%2Bin%2BType%2B2%2BDiabetes%253A%2BA%2BRandomized%252C%2BControlled%2BTrial%26rft_id%253Dinfo%253Apmid%252F16230721%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=16230721&link_type=MED&atom=%2Febnurs%2F9%2F2%2F49.atom [3]: /lookup/external-ref?access_num=000232674000005&link_type=ISI [4]: /embed/inline-graphic-1.gif [5]: /embed/inline-graphic-2.gif [6]: /embed/inline-graphic-3.gif [7]: /embed/inline-graphic-4.gif [8]: /embed/inline-graphic-5.gif [9]: /embed/inline-graphic-6.gif

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.064
GPT teacher head0.324
Teacher spread0.260 · 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.

Study designNot applicable
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

Citations1
Published2006
Admission routes2
Has abstractyes

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