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Record W3009213612 · doi:10.1016/j.gheart.2018.09.036

MS09.2 Empagliflozin Reduces Mortality In Patients With Type 2 Diabetes and A History of Left Ventricular Hypertrophy: A Sub-analysis of the EMPA-REG OUTCOME Trial

2018· article· en· W3009213612 on OpenAlex
Subodh Verma, C. David Mazer, Deepak L. Bhatt, Satish R. Raj, Andrew T. Yan, Atul Verma, Eleuterio Ferrannini, Gudrun Simons, Bernard Zinman, David Fitchett

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Heart · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalLibin Cardiovascular Institute of AlbertaUniversity of TorontoUniversity of CalgarySt. Michael's Hospital
Fundersnot available
KeywordsMedicineEmpagliflozinSinus tachycardiaInternal medicineTachycardiaCardiologyQuality of life (healthcare)Gold standard (test)Intensive care medicineDiabetes mellitusType 2 diabetes

Abstract

fetched live from OpenAlex

Postural tachycardia syndrome (POTS) and inappropriate sinus tachycardia (IST) are diagnostic possibilities for a patient presenting in sinus tachycardia without any clear primary cause. While neither condition leads to increased mortality, either condition could negatively impact quality of life if not treated. A detailed history and physical exam including orthostatic vital signs are the foundation toward identifying other investigations that may be needed to rule out other causes of sinus tachycardia. There are no gold-standard treatments for POTS or IST. Experts agree that a multidisciplinary approach that considers the individual patients’ presentation is key for identifying potential therapeutic options for management.

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.

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 score0.008
Threshold uncertainty score0.276

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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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