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Record W4286311985 · doi:10.1055/s-0042-1746380

Effects of empagliflozin on uric acid levels and gout: observations from the EMPA-REG OUTCOME trial

2022· article· en· W4286311985 on OpenAlexaff
João Pedro Ferreira, Silvio E. Inzucchi, Bernard Zinman, Michaela Mattheus, Thomas Meinicke, Dominik Steubl, Christoph Wanner, Ursula Gotsch

Bibliographic record

VenueDiabetologie und Stoffwechsel · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsEmpagliflozinMedicineGoutUric acidInternal medicineEMPAType 2 diabetesPlaceboDiabetes mellitusEndocrinologyChemistryAlternative medicine

Abstract

fetched live from OpenAlex

Background Higher serum uric acid (UA) levels are associated with gout and other adverse outcomes in patients with type 2 diabetes (T2D). Sodium glucose co-transporter 2 inhibitors lower UA and may reduce gout flares. We studied on-treatment effects of empagliflozin on serum UA levels, prescription of anti-gout/UA-lowering medication, and gout flares in 7020 patients (pooled empagliflozin n=4687; placebo n=2333) with T2D and high CV risk treated in EMPA-REG OUTCOME.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.084
GPT teacher head0.316
Teacher spread0.233 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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