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Record W4390776745 · doi:10.4081/globalcard.2023.2

SGLT2 inhibitors and risk reduction for mortality in high-risk patients: a meta-analysis of randomized controlled trials

2023· article· en· W4390776745 on OpenAlex
Tariq Jamal Siddiqi, Javed Butler, Andrew J.S. Coats, Subodh Verma, Tim Friede, Gerasimos Filippatos, Stefan D. Anker

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 Cardiology · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsEmpagliflozinDapagliflozinMedicineHazard ratioInternal medicinePlaceboRandomized controlled trialMeta-analysisRelative riskDiabetes mellitusConfidence intervalType 2 diabetesEndocrinology

Abstract

fetched live from OpenAlex

Background: The aim of this paper is to assess the impact of sodium-glucose cotransporters-2 (SGLT2) inhibitors on all-cause and cardiovascular (CV) death in high-risk patients and compare the efficacy of empagliflozin and dapagliflozin. Methods: PubMed was queried from inception to the last week of September 2023 for randomized controlled trials that compared SGLT2 inhibitors’ empagliflozin or dapagliflozin with placebo and included patients with heart failure (HF), type 2 diabetes mellitus (T2DM), or chronic kidney disease (CKD). The outcome of interest was CV death or all-cause death. Hazard ratios (HR) with 95% confidence intervals (CI) were pooled using a random effect model, and forest plots were created to analyze the results visually. A chi-square test was performed to assess subgroup differences between empagliflozin and dapagliflozin. Results: Eight trials (N=55,818) were included in our analysis, namely EMPA-REG, EMPEROR-Reduced, EMPEROR-Preserved, EMPA-KIDNEY, DECLARE-TIMI, DAPA-HF, DELIVER and DAPA-CKD. Pooled analysis demonstrated that compared to placebo, SGLT2 inhibition reduced the risk of CV death (SGLT2i arm = 1405 events, 29,089 total patients; placebo arm = 1515 events, 26,729 total patients; HR: 0.85; 95%CI: 0.79-0.93, p<0.001) and all-cause death (SGLT2i arm = 2,491 events, 29,062 total patients; placebo arm= 2,625 events, 26,729 total patients; HR: 0.86; 95% CI 0.79-0.95, p=0.002) in high-risk patients identified as having either T2DM, HF, or CKD. No differences were observed in the effect of empagliflozin and dapagliflozin on CV death (HRempagliflozin: 0.81; 95% CI 0.68-0.97, HRdapagliflozin: 0.88; 0.82-0.95, p=0.39) and all-cause death (HRempagliflozin: 0.86; 95% CI 0.73-1.02, HRdapagliflozin: 0.87; 0.78-0.97, p=0.94). Conclusions: SGLT2 inhibitors reduce the risk of all-cause and CV death in high-risk patients. Notably, there were no discernible differences in the benefits of empagliflozin and dapagliflozin on these outcomes.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.004
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.331
Teacher spread0.286 · 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