Evidence map›Paper›PMID 42776272›Full record

ReviewHeart failure reviews2026

Bioimpedance utility in heart failure.

Archana Ganapathy, Jason N Dungu, Anthony D Dimarco, Andrew Chisom Madu, Samantha Langley, Peter Watters, Henry Oluwasefunmi Savage

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Archana GanapathyCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK. archana.ganapathy@nhs.net.ORCID http://orcid.org/0009-0007-5306-4576
Jason N DunguCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0000-0002-6086-6813
Anthony D DimarcoCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0000-0002-0654-3730
Andrew Chisom MaduCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0009-0007-8349-5852
Samantha LangleyCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0009-0000-9472-2634
Peter WattersCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0009-0003-7504-8412
Henry Oluwasefunmi SavageCardiology Department, Mid and South Essex NHS Foundation Trust, Basildon, UK.ORCID http://orcid.org/0000-0001-8574-6511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congestion is a central pathophysiological feature of heart failure (HF) and a major contributor to symptoms and prognosis. Despite the substantial mortality benefit of disease-modifying therapies [1], assessing and managing congestion remains challenging. Existing tools such as clinical examination, blood and urinary biomarkers, and cardiac and lung ultrasound are limited by observer variability, logistical constraints and the need for technical expertise [2]. Comorbidities such as chronic kidney disease (CKD), which co-exist in up to 60% of patients with heart failure and may contribute to congestion, further complicate assessments, which can lead to worse outcomes [3, 4]. Consequently, there is growing interest in objective, reproducible and accessible tools that complement conventional approaches to congestion assessment by providing additional information on fluid distribution within body compartments. Bioimpedance analysis (BIA) is a non-invasive technique that measures the electrical properties of biological tissues to estimate body composition and fluid distribution. Since the pioneering work of Nyboer in 1959 and Hoffer et al. in 1969 [5], BIA has evolved from a research tool for body composition into a broader clinical technology used across multiple specialties [6]. Advances in multifrequency, segmental, and spectroscopy-based systems have further expanded its potential for assessing fluid compartments in conditions such as HF and Chronic Kidney Disease (CKD). However, BIA encompasses heterogeneous technologies, parameters and prediction models, and its clinical role remains incompletely defined, with recommendations for further research [7]. This narrative review outlines the physiological principles of bioimpedance, evaluates its applications in HF diagnosis, prognostication, therapeutic guidance and remote monitoring, and explores the methodological and clinical barriers that have restricted its widespread adoption. We discuss its potential as an adjunctive tool for assessing congestion and highlight the key evidence gaps that must be addressed before bioimpedance can be more widely integrated into routine HF care.

Indexed as

Body CompositionElectric ImpedanceHeart FailureHumansPrognosisAcute heart failureBioimpedance analysisCongestion assessmentDecongestionFluid overload

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.