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Record W2897384304 · doi:10.1002/ehf2.12355

Post Hoc Analyses of SHIFT and PARADIGM-HF Highlight the Importance of Chronic Chagas' Cardiomyopathy <i>Comment on:</i> “Safety Profile and Efficacy of Ivabradine in Heart Failure Due to Chagas Heart Disease: A Post Hoc Analysis of the SHIFT Trial” by Bocchi <i>et al.</i>

2018· letter· en· W2897384304 on OpenAlex
Félix José Alvarez Ramires, Felipe Martínez, Efraín Gómez, Caroline Demacq, Claudio Gimpelewicz, Jean L. Rouleau, Scott D. Solomon, Karl Swedberg, Michael R. Zile, Milton Packer, John J.V. McMurray

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

VenueESC Heart Failure · 2018
Typeletter
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsIvabradineMedicineHeart failureSacubitrilInternal medicineEnalaprilCardiologyValsartanCardiomyopathySacubitril, ValsartanPost-hoc analysisHeart rateEjection fractionAngiotensin-converting enzymeBlood pressure

Abstract

fetched live from OpenAlex

We read with interest the report by Bocchi and colleagues of their post hoc analysis of the Systolic Heart failure treatment with the If inhibitor ivabradine Trial (SHIFT), examining the effect of study drug in the 38 patients with chronic chagasic cardiomyopathy (CCC).1 The authors reported that study drug lowered heart rate and improved New York Heart Association class. The sample size was too small to allow estimation of the effect of treatment on mortality or hospitalization. However, this analysis did suggest that patients with CCC experienced high event rates, despite excellent background therapy. We examined outcomes in patients with CCC in the Prospective comparison of Angiotensin Receptor Neprilysin Inhibitor with Angiotensin Converting Enzyme Inhibitor to Determine Impact on Global Mortality and morbidity in Heart Failure (PARADIGM-HF) and the Aliskiren trial to Minimize OutcomeS in Patients with Heart failure (ATMOSPHERE).2, 3 These trials included 195 CCC patients from among a total of 2552 recruited in Latin America. Despite being younger and having less co-morbidity, the CCC patients had higher hospitalization and mortality rates, compared with other aetiologies, despite similarly good treatment.4 We also conducted an exploratory post hoc analysis of the effect of sacubitril/valsartan (formerly known as LCZ696) in CCC patients in PARADIGM-HF. Of a total of 113 patients, 58 were randomized to sacubitril/valsartan and 55 to enalapril. The two treatment groups were similar in terms of demographics, co-morbidity, and heart failure (HF) severity. Patients with CCC treated with sacubitril/valsartan, as compared with enalapril, had a lower risk of experiencing cardiovascular death or HF hospitalization, the primary composite endpoint, and each of its components (Figure). The point estimate for risk reduction was comparable with or greater than that seen with the drug vs. enalapril in the entire study population. This analysis is underpowered and should be interpreted with caution. CCC is a major health issue in Latin America and is now recognized in the USA and Europe, reflecting contemporary migration patterns.5-8 Indeed, a recent study from Brazil concluded that the population attributable mortality risk from CCC increased between 2002/2004 and 2012/2014.9 Future trials should consider recruiting larger numbers of patients with CCC to allow adequately powered subgroup analysis and even trials specifically in CCC would be justified, given the magnitude of this problem. Until that time, patients with CCC should be treated empirically with therapies recommended by guidelines, on the assumption that treatments for patients with reduced ejection fraction are effective, irrespective of aetiology of HF.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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