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Record W2033533885 · doi:10.1002/ejhf.279

May 2015 at a Glance

2015· article· en· W2033533885 on OpenAlexaff
Marco Metra

Bibliographic record

VenueEuropean Journal of Heart Failure · 2015
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineCardiogenic shockHeart failureMyocardial infarctionObservational studyDecompensationAcute coronary syndromeInternal medicineEjection fractionCardiologyEmergency medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Multicentre studies have become major tools to collect data regarding clinical characteristics, prognosis, and treatment effects in patients with heart failure (HF). This is mirrored in our current issue of the journal. Most of the data regarding cardiogenic shock have been obtained from registries of patients with myocardial infarction. CardShock is the largest European multicentre observational study including 219 patients with the whole spectrum of aetiologies of cardiogenic shock.1 Acute coronary syndrome (ACS) was the most common cause of shock (81%), and 62% of patients developed shock after admission to hospital. In-hospital mortality was 37%, lower than in other registries, and ACS aetiology, age, previous myocardial infarction, prior coronary artery bypass, confusion, low LVEF, and blood lactate levels were independently associated with increased mortality. A risk score for in-hospital mortality including these variables and estimated glomerular filtration rate (eGFR) was developed from this study.1 The International REgistry to assess medical Practice with lOngitudinal obseRvation for Treatment of Heart Failure (REPORT-HF) is a global, prospective, observational study designed to characterize patients' clinical course during and following a HF hospitalization. This registry will be conducted at ∼300 sites located in ∼40 countries with the planned enrolment of ∼20 000 patients hospitalized for new-onset HF or decompensation of chronic HF over a 3-year period with subsequent 3 years of follow-up. Thus, both the in-hospital phase and the transition to the outpatient setting and long-term follow-up will be assessed in this study, which is probably going to be the largest registry on HF including patients from all continents. Its rationale and design are published in the current issue of our journal.2 In the Prospective comparison of Angiotensin Receptor Neprilysin Inhibitor (ARNI) with Angiotensin receptor Blocker (ARB) on Management Of heart failUre with preserved ejectioN fracTion (PARAMOUNT) study, 12 weeks treatment with LCZ696 reduced NT-proBNP to a larger extent than valsartan in patients with HF and preserved ejection fraction (HFpEF) and this effect was independent from changes in the systolic blood pressure.3, 4 In this issue of the journal, Voors et al. analyse the changes in renal function in the PARAMOUNT study and show that LCZ696 administration was associated with less decline in the eGFR and worsening of renal function, with an increase the urinary albumin to creatinine ratio, compared with placebo.5 In the Systolic Heart Failure Treatment with the If Inhibitor Ivabradine Trial (SHIFT) trial, ivabradine administration decreased the rate of the primary endpoint, a composite of cardiovascular death and HF hospitalization, as well as HF hospitalizations and HF deaths.6 Analysis of 24-h Holter recordings was a pre-specified substudy of this trial, and its results are shown in this issue of the journal.7 Heart rate reduction with ivabradine was similar in resting office and in 24-h, awake, and asleep recordings, with beneficial effects on HR variability and no meaningful increases in supraventricular or ventricular arrhythmias. Ivabradine administration was associated with an increased rate of episodes of heart rate reduction <40 b.p.m., but no episode of heart rate <30 b.p.m. and no RR intervals >3 s were recorded in patients on ivabradine.7

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score0.530

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.6280.475

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 head0.031
GPT teacher head0.283
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2015
Admission routes1
Has abstractyes

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