Evidence map›Paper›PMID 32071351›Full record

ArticleScientific reports2020

Bioimpedance spectroscopy for fluid status assessment in patients with decompensated liver cirrhosis: Implications for peritoneal dialysis.

Elisabeth Schwaiger, Amrei Simon, Peter Wabel, Benjamin Schairer, Carolin Berner, Lorenzo Signorini, Matthäus Ernstbrunner, Rayko Evstatiev, Philipp Schwabl, Georg Hinterholzer and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  4. Review
  5. Article
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 at 4 institutions in 3 countries.

Elisabeth SchwaigerDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Amrei SimonDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Peter WabelFresenius Medical Care, Research and Development, Bad Homburg, Germany.
Benjamin SchairerDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Carolin Berner1st Medical Department, Division for Nephrology, Sozialmedizinisches Zentrum Süd, Vienna, Austria.
Lorenzo SignoriniDipartimento di Nefrologia e Dialis, Azienda Ospedaliera Universitaria Integrata, Verona, Italy.
Matthäus ErnstbrunnerDepartment of Anaesthesiology and Critical Care Medicine, Medical University of Vienna, Vienna, Austria.
Rayko EvstatievDepartment of Internal Medicine III, Clinical Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Philipp SchwablDepartment of Internal Medicine III, Clinical Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-7183-8076
Georg Hinterholzer1st Medical Department, Division for Nephrology, Sozialmedizinisches Zentrum Süd, Vienna, Austria.
Florian FrommletCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Andreas VychytilDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Christian J MüllerDepartment of Internal Medicine III, Clinical Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna, Austria.
Manfred HeckingDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria. manfred.hecking@meduniwien.ac.at.
Medical University of Vienna · ATAzienda Ospedaliera Universitaria Integrata Verona · ITFresenius Medical Care (Germany) · DEKepler Universitätsklinikum · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioimpedance spectroscopy (BIS) is routinely used in peritoneal dialysis patients and might aid fluid status assessment in patients with liver cirrhosis, but the effect of ascites volume removal on BIS-readings is unknown. Here we determined changes in BIS-derived parameters and clinical signs of fluid overload from before to after abdominal paracentesis. Per our pre-specified sample size calculation, we studied 31 cirrhotic patients, analyzing demographics, labs and clinical parameters along with BIS results. Mean volume of the abdominal paracentesis was 7.8 ± 2.6 L. From pre-to post-paracentesis, extracellular volume (ECV) decreased (20.2 ± 5.2 L to 19.0 ± 4.8 L), total body volume decreased (39.8 ± 9.8 L to 37.8 ± 8.5 L) and adipose tissue mass decreased (38.4 ± 16.0 kg to 29.9 ± 12.9 kg; all p < 0.002). Correlation of BIS-derived parameters from pre to post-paracentesis ranged from R² = 0.26 for body cell mass to R² = 0.99 for ECV. Edema did not correlate with BIS-derived fluid overload (FO ≥ 15% ECV), which occurred in 16 patients (51.6%). In conclusion, BIS-derived information on fluid status did not coincide with clinical judgement. The changes in adipose tissue mass support the BIS-model assumption that fluid in the peritoneal cavity is not detectable, suggesting that ascites (or peritoneal dialysis fluid) mass should be subtracted from adipose tissue if BIS is used in patients with a full peritoneal cavity.

Indexed as

Dielectric SpectroscopyAgedAscitesBody CompositionDialysis SolutionsExtracellular FluidFemaleHumansLiver CirrhosisMaleMiddle AgedPeritoneal DialysisWater-Electrolyte ImbalanceDialysis Solutions

Identifiers

PMID32071351
PMCPMC7028989
OpenAlexW3008212515

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.