ReviewCardiology journal2026
Predicting heart failure decompensation: focus on non-invasive monitoring.
Review in Cardiology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- From monitoring to meaning: why artificial intelligence will redefine heart failure care.Cardiology journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PolandAbstractHeart failure (HF) remains the foremost global health problem. Decompensation of chronic HF, char-acterized by exacerbation of symptoms and signs of congestion, reduces functional capacity and quality of life, and increases the risk for hospitalizations and mortality. To reduce the HF burden, patients at elevated decompensation risk must be quickly identified. However, reliable, validated risk scores for the prediction of worsening HF are lacking. Therefore, this clinically oriented review aims to outline the clinical factors predisposing for HF decompensation and discuss modern strategies for the non-invasive monitoring of patients with chronic HF, including telemonitoring and artificial intelligence-based tools.
Indexed as
Identifiers
What Socratic 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 Socratic graph.