Evidence map›Paper›PMID 38356328›Full record

ArticleESC heart failure2024

Prognostic impact of residual pulmonary congestion assessed by remote dielectric sensing system in patients admitted for heart failure.

Toshihide Izumida, Teruhiko Imamura, Takatoshi Koi, Masaki Nakagaito, Hiroshi Onoda, Shuhei Tanaka, Ryuichi Ushijima, Naoya Kataoka, Makiko Nakamura, Mitsuo Sobajima and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Toshihide IzumidaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0003-2703-2523
Teruhiko ImamuraSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.ORCID https://orcid.org/0000-0002-7294-7637
Takatoshi KoiSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Masaki NakagaitoSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Hiroshi OnodaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Shuhei TanakaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Ryuichi UshijimaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Naoya KataokaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Makiko NakamuraSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Mitsuo SobajimaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Nobuyuki FukudaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Hiroshi UenoSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
Koichiro KinugawaSecond Department of Internal Medicine, University of Toyama, Toyama, Japan.
University of Toyama · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsRemote dielectric sensing (ReDS) represents a contemporary non-invasive technique reliant on electromagnetic energy to quantify pulmonary congestion. Its prognostic significance within the context of heart failure (HF) patients remains elusive. This study aimed to assess the prognostic implications of residual pulmonary congestion, as gauged by the ReDS system, among patients admitted due to congestive HF. METHODS AND

resultsWe enrolled hospitalized HF patients who underwent ReDS assessments upon admission and discharge in a blinded manner, independent of attending physicians. We evaluated the prognostic impact of the ReDS ratio between admission and discharge on the primary outcome, which encompassed all-cause mortality and HF-related re-hospitalizations. A cohort of 133 patients (median age 78 [72, 84] years, 78 male [59%]) was included. Over a median observation period of 363 days post-index discharge, an escalated ReDS group (ReDS ratio > 100%), determined through statistical calculation, emerged as an independent predictor of the primary outcome, exhibiting an adjusted hazard ratio of 4.37 (95% confidence interval 1.13-16.81, P = 0.032). The cumulative incidence of the primary outcome was notably higher in the increased ReDS group compared with the decreased ReDS group (50.1% vs. 8.5%, P = 0.034).

conclusionsElevated ReDS ratios detected during the index hospitalization could serve as a promising prognostic indicator in HF patients admitted for treatment. The clinical ramifications of ReDS-guided HF management warrant validation in subsequent studies.

Indexed as

Heart FailurePulmonary EdemaAgedAged, 80 and overFemaleFollow-Up StudiesHospitalizationHumansMalePrognosisRemote Sensing TechnologyRetrospective StudiesSurvival RateCardiologyHeart failurePrognosisPulmonary oedema

Identifiers

PMID38356328
PMCPMC11098645
OpenAlexW4391841324

What OpenQuestion holds

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Registered trials

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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.