Geographic Region Variation in Patient Characteristics, Clinical Outcomes and Treatment of HFrEF in the VICTORIA Trial
Bibliographic record
Abstract
Abstract Aims Heterogeneity in demographics, aetiology, healthcare access and guideline-directed medical therapy (GDMT), and survival bias of patients with heart failure with reduced ejection fraction (HFrEF) is evident from international trials and registries. The current study examines conventional geographic variation in participants' phenotypes, standard of care, clinical outcomes and treatment effects of vericiguat versus placebo within the VICTORIA trial. We then evaluate an alternative approach to assessing the relationship between geographic variation in the efficacy of new therapeutics. Methods and results Characteristics, standard of care and outcomes (time to first HF hospitalization (HFH) or cardiovascular death (CVD), time to first HFH and to CVD) of the 5050 participants from 42 countries and the effect of vericiguat versus placebo were analysed according to five prespecified geographic regions. Further examination of the study treatment effect according to country-level human development index (HDI) was undertaken to evaluate intra-regional variation. Notable inter-region differences existed in participant characteristics, standard of care at randomization and clinical outcomes. There was no modification of vericiguat's treatment benefit across geographic regions for the primary composite endpoint or its components. When examined by HDI, vericiguat's benefit on HFH and the primary composite was retained overall but attenuated as HDI rose (Pinteraction = 0.009, 0.088, respectively). There was no apparent treatment effect modification due to HDI on cardiovascular death (Pinteraction = 0.623). Conclusions Geographic variation in the phenotype of patients with HFrEF, standard of care, and clinical outcomes was observed, while there was no intra-regional heterogeneity in vericiguat's treatment effect. However, when considering contextual/systemic measures via country-level HDI, further insights into treatment effect were revealed. Country-level measures may be helpful in the planning of future trials and in the translation of evidence into practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".