Evidence map›Paper›PMID 36222948›Full record

ArticleHeart and vessels2023

Changes in lung fluid levels with variations in the respiratory cycle.

Teruhiko Imamura, Toshihide Izumida, Nikhil Narang, Koichiro Kinugawa

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 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

4 authors at 3 institutions in 2 countries.

Teruhiko Imamura *Second Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama, 930-0194, Japan. teimamu@med.u-toyama.ac.jp.ORCID http://orcid.org/0000-0002-7294-7637
Toshihide Izumida *Second Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama, 930-0194, Japan.
Nikhil NarangAdvocate Christ Medical Center, Oak Lawn, IL, USA.
Koichiro KinugawaSecond Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama, 930-0194, Japan.
University of Toyama · JPAdvocate Christ Medical Center · USToyama University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between respirophasic variation and lung fluid levels is unknown. Remote dielectric sensing (ReDS™) is a novel non-invasive technology to quantify lung fluid levels. We investigated the change in ReDS values over the course of the respiratory cycle. Patients with clinically stable chronic heart failure at outpatient clinics were prospectively included. ReDS values were measured at three respiratory statuses and compared: (1) at rest with normal breathing, (2) at inspiration, and (3) at expiration. A total of 11 patients were included. Median age was 73 (58, 78) years and 9 were men. ReDS value was 28% (25%, 32%) at rest and decreased significantly with inspiration down to 26% (24%, 30%) (p = 0.004). ReDS value were significantly higher on expiration as 30% (27%, 34%) as compared with rest (p = 0.003). Lung fluid levels in chronic heart failure patients can vary with changes in the respiratory cycle-attention should be paid to what point in the respiratory cycle measurements are taken when interpreting results in each modality, such as chest X-ray (measured at inspiratory status) and right heart catheterization (measured at expiratory status). ReDS system might be a physiologically ideal modality to assess lung fluid amount under natural breathing.

Indexed as

Heart FailureLungAgedFemaleHumansMaleBreathingCongestionHemodynamicsReDS

Identifiers

PMID36222948
OpenAlexW4304688346

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.