Evidence map›Paper›PMID 39039364›Full record

ReviewHeart failure reviews2024

Non-invasive heart failure monitoring: leveraging smart scales and digital biomarkers to improve heart failure outcomes.

Phuuwadith Wattanachayakul, Veraprapas Kittipibul, Husam M Salah, Hidenori Yaku, Julio Nuñez, Rafael De la Espriella, Tor Biering-Sørensen, Marat Fudim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

8 authors.

Phuuwadith WattanachayakulDepartment of Medicine, Jefferson Einstein Hospital, Philadelphia, PA, USA.
Veraprapas KittipibulDivision of Cardiology, Department of Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Husam M SalahDivision of Cardiology, Department of Internal Medicine, Duke University School of Medicine, Durham, NC, USA.
Hidenori YakuDivision of Cardiology, Department of Medicine, and Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Julio NuñezDepartment of Medicine, Universitat de València, Valencia, Spain.
Rafael De la EspriellaDepartment of Cardiology, Hospital Clínico Universitario de Valencia (INCLIVA), Valencia, Spain.
Tor Biering-SørensenDepartment of Cardiology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.
Marat FudimDivision of Cardiology, Department of Internal Medicine, Duke University School of Medicine, Durham, NC, USA. marat.fudim@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a significant global concern, impacting patient morbidity, mortality, and healthcare costs. Guideline-directed medical therapy and various preventive measures have proven effective in improving clinical outcomes and reducing HF hospitalizations. Recent data indicates that remote HF monitoring facilitates early detection of HF decompensation by observing upstream events and parameters before clinical signs and symptoms manifest. Moreover, these innovative devices have been shown to decrease unnecessary HF hospitalizations and, in some cases, provide predictive insights before an actual HF incident. In this review, we aim to explore the data regarding smart scales and digital biomarkers and summarize both FDA-approved devices and emerging technologies by assessing their clinical utility, mechanism of HF decompensation detection, and ongoing trials. Furthermore, we also discuss the future trend of integrating these devices into routine clinical practice to improve patient clinical outcomes.

Indexed as

BiomarkersHeart FailureHumansMonitoring, PhysiologicBiomarkersDigital cardiac biomarkersHeart failureLung fluid analysisNon-invasive remote monitoringSmart scales

Identifiers

PMID39039364

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.