ReviewESC heart failure2019
Clinical profiles in acute heart failure: an urgent need for a new approach.
Review in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The added value of hypertonic saline solution to furosemide monotherapy in patients with acute decompensated heart failure: A meta-analysis and trial sequential analysis.Clinical cardiology · 2023Pooled it
- Three-way multi-criteria decision-making with linguistic information using prospect-regret theory and generalised TODIM for heart failure data analysis.Scientific reports · 2026Article
- Microneedle patches: the next frontier in cardiovascular care.Drug delivery and translational research · 2025Review
- Observational
- Heart failure survival prediction using novel transfer learning based probabilistic features.PeerJ. Computer science · 2024Article
- An improved mountain gazelle optimizer based on chaotic map and spiral disturbance for medical feature selection.PloS one · 2024Article
- PREDICTORS OF ACUTE HEART FAILURE OUTCOMES AT UNIVERSITY COLLEGE HOSPITAL, IBADAN, NIGERIA.Annals of Ibadan postgraduate medicine · 2023Article
- Hemodynamic Differences between Patients Hospitalized with Acutely Decompensated Chronic Heart Failure and De Novo Heart Failure.Journal of clinical medicine · 2023Article
- A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.Sensors (Basel, Switzerland) · 2023Article
- Improvement of a prediction model for heart failure survival through explainable artificial intelligence.Frontiers in cardiovascular medicine · 2023Article
- IoT Based Smart Monitoring of Patients' with Acute Heart Failure.Sensors (Basel, Switzerland) · 2022Article
- Differences in the Biomarker Profile of De Novo Acute Heart Failure versus Decompensation of Chronic Heart Failure.Biomolecules · 2021Article
- Pathophysiology and Therapeutic Approaches to Acute Decompensated Heart Failure.Circulation research · 2021Review
- Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data.BioData mining · 2021Article
- Blood Pressure Reduction in Hypertensive Acute Heart Failure.Current hypertension reports · 2021Review
- Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.Computational and mathematical methods in medicine · 2021Article
- Acutely decompensated versus acute heart failure: two different entities.Heart failure reviews · 2020Review
- Unique repertoire of anti-carbohydrate antibodies in individual human serum.Scientific reports · 2020Article
- Effect of miR-195-5p on cardiomyocyte apoptosis in rats with heart failure by regulating TGF-β1/Smad3 signaling pathway.Bioscience reports · 2020Article
- Cymbopogon Proximus Essential Oil Protects Rats against Isoproterenol-Induced Cardiac Hypertrophy and Fibrosis.Molecules (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute heart failure (HF) is a major public health concern, responsible for >26 million hospitalizations per year worldwide. Many trials have investigated new therapeutic options for acute HF, with most revealing equivocal results. Successful innovations in therapy for acute HF have remained limited, and standard of care has remained largely unchanged over the past decade, suggesting the need for a new approach for therapeutic decision making and clinical trial design in acute HF. This manuscript focuses on one approach that could prove useful in the development and application of novel therapies: classification of patients based on clinical profiles. While previous attempts at developing clinical profiles were successful in stratifying patients based on clinical and laboratory variables, they have not been utilized for personalized treatment strategies that improve patient outcomes. We suggest a new approach to the creation of clinical profiles that could stratify patients based on their underlying aetiology and their response to novel interventions. We also investigate novel analytic approaches to the creation of new clinical profiles that both investigators and clinicians alike could utilize to inform clinical trial design and the application of new therapies. Despite a large number of clinical trials for new therapeutic options, the treatment of acute HF has seen few advances over the past decades. Innovative approaches to patient selection through the use of clinical profiles could help to identify patients most likely to benefit from novel interventions and lead to the discovery of new therapeutic options.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.