Evidence map›Paper›PMID 37955103›Full record

ArticleRenal failure2023

Day-to-day variability in euvolemic body mass.

Daniel Schneditz, Peter Hofmann, Simon Krenn, Maximilian Waller, Sebastian Mussnig, Manfred Hecking

Abstract read
In one paragraph

Article in Renal failure, 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
–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

3 citing papers in PubMed.

  1. Ten tips for the first hemodialysis sessions.Clinical kidney journal · 2026
    Review
  2. 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

6 authors.

Daniel SchneditzOtto Loewi Research Center, Division of Physiology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-0124-1012
Peter HofmannInstitute of Human Movement Science, Sport & Health; Exercise Physiology, Training & Training Therapy Research Group, University of Graz, Graz, Austria.ORCID 0000-0003-4836-1238
Simon KrennCenter for Health and Bioresources, Medical Signal Analysis, AIT Austrian Institute of Technology, Vienna, Austria.ORCID 0000-0003-0899-9085
Maximilian WallerCenter for Public Health, Department of Epidemiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-3010-4957
Sebastian MussnigCenter for Public Health, Department of Epidemiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-2223-2067
Manfred HeckingCenter for Public Health, Department of Epidemiology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-8047-2395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short-term variability in body mass is a common, everyday phenomenon; however, data on body mass variability are scarce. While the physiological variability of body mass is negligible in healthy individuals, it could have implications for therapy in patients with impaired volume homeostasis, for example, patients with kidney failure undergoing kidney replacement therapy. We analyzed a long-term dataset comprising 9521 days of standardized body mass measurements from one healthy male individual and assessed the variability in body mass as a positive or negative relative difference in body mass measured on subsequent days. The average and median relative differences were zero, with a standard deviation (SD) of 0.53% for the one-day interval, increasing to 0.69% for the 7-day interval, and this variability was constant throughout the observation period. A body mass variability of approximately 0.6% (±450 mL in a 75-kg patient) should be taken into consideration when weight-dependent treatment prescriptions, e.g. the ultrafiltration rates in patients on hemodialysis, are being set. Consequently, a "soft target weight", considering the longitudinal variation of volume markers, such as body mass, might improve treatment quality.

Indexed as

Kidney Failure, ChronicBody WeightHumansMaleRenal DialysisUltrafiltrationDry weighthemodialysisprescriptiontarget weightultrafiltrationvolume control

Identifiers

PMID37955103
PMCPMC10653631

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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.