Evidence map›Paper›PMID 35011905›Full record

ArticleJournal of clinical medicine2021

Validation of Noninvasive Remote Dielectric Sensing System to Quantify Lung Fluid Levels.

Teruhiko Imamura, Wataru Gonoi, Masakazu Hori, Yohei Ueno, Nikhil Narang, Hiroshi Onoda, Shuhei Tanaka, Makiko Nakamura, Naoya Kataoka, Ryuichi Ushijima and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Osteoporosis in rheumatoid arthritis: a new perspective on risk factors and clinical prediction models.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
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  6. Trajectory of pulmonary congestion during TAVR.Cardiovascular intervention and therapeutics · 2024
    Article
  7. Review
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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

14 authors.

Teruhiko ImamuraSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0002-7294-7637
Wataru GonoiDepartment of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo 1138654, Japan.ORCID 0000-0002-5018-4683
Masakazu HoriSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Yohei UenoSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Nikhil NarangAdvocate Christ Medical Center, Oak Lawn, IL 60453, USA.
Hiroshi OnodaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Shuhei TanakaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0001-7551-3431
Makiko NakamuraSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Naoya KataokaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Ryuichi UshijimaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Mitsuo SobajimaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Nobuyuki FukudaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.
Hiroshi UenoSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.ORCID 0000-0001-9747-2511
Koichiro KinugawaSecond Department of Internal Medicine, University of Toyama, Toyama 9300194, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy of the remote dielectric sensing (ReDS

methodsHospitalized patients with and without heart failure underwent assessment of lung fluid levels with ReDS and successive chest computed tomography imaging. We performed a correlation analysis of the ReDS measurement, representing lung fluid levels, and computed tomography-derived high attenuation area percentage, which also provides a spatial quantification of lung fluid level.

resultsA total of 46 patients (median 76 years old, 28 men), including 28 patients with heart failure, were included. The median ReDS value was 28% (interquartile: 23%, 33%), and the median percentage of high attenuation area was 21.6% (14.4%, 28.5%). ReDS values and percentage of high attenuation area were moderately correlated (r = 0.65,

conclusionsThe ReDS system may be a promising, noninvasive tool to quantify fluid lung levels, as validated by comparison with chest computed tomography imaging. Further studies are warranted to validate the utility and applicability of this technology to a variety of clinical scenarios.

Indexed as

congestionCT densitometryheart failurehemodynamics

Identifiers

PMID35011905
PMCPMC8745965

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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.