Evidence map›Paper›PMID 34930963›Full record

ArticleScientific reports2021

Estimated plasma volume status is a modest predictor of true plasma volume excess in compensated chronic heart failure patients.

Christoph Ahlgrim, Philipp Birkner, Florian Seiler, Sebastian Grundmann, Christoph Bode, Torben Pottgiesser

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  4. Acute effects of lactate infusion on metabolism, AD biomarkers, and cognition: The LEAN study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Observational
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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 at 2 institutions in 1 country.

Christoph AhlgrimDepartment of Cardiology and Angiology II, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Südring 15, 79189, Bad Krozingen, Germany. christoph.ahlgrim@universitaets-herzzentrum.de.
Philipp BirknerDepartment of Cardiology and Angiology I, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany.
Florian SeilerDepartment of Cardiology and Angiology I, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany.
Sebastian GrundmannDepartment of Cardiology and Angiology I, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany.
Christoph BodeDepartment of Cardiology and Angiology I, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany.
Torben PottgiesserDepartment of Cardiology and Angiology I, Faculty of Medicine, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany.
University of Freiburg · DEUniversitäts-Herzzentrum Freiburg-Bad Krozingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma volume and especially plasma volume excess is a relevant predictor for the clinical outcome of heart failure patients. In recent years, estimated plasma volume based on anthropometric characteristics and blood parameters has been used whilst direct measurement of plasma volume has not entered clinical routine. It is unclear whether the estimation of plasma volume can predict a true plasma volume excess. Plasma volume was measured in 47 heart failure patients (CHF, 10 female) using an abbreviated carbon monoxide rebreathing method. Plasma volume and plasma volume status were also estimated based on two prediction formulas (Hakim, Kaplan). The predictive properties of the estimated plasma volume status to detect true plasma volume excess > 10% were analysed based on logistic regression and receiver operator characteristics. The area under the curve (AUC) to detect plasma volume excess based on calculation of plasma volume by the Hakim formula is 0.65 (with a positive predictive value (PPV) of 0.62 at a threshold of - 16.5%) whilst the AUC for the Kaplan formula is 0.72 (PPV = 0.67 at a threshold of - 6.3%). Only the estimated plasma volume status based on prediction of plasma volume by the Kaplan formula formally appears as an acceptable predictor of true plasma volume excess, whereas calculation based on the Hakim formula does not sufficiently predict a true plasma volume excess. The low positive predictive values for both methods suggest that plasma volume status estimation based on these formulas is not suitable for clinical decision making.

Indexed as

Plasma VolumeStroke VolumeAgedAnthropometryArea Under CurveCarbon MonoxideCardiologyChronic DiseaseCross-Sectional StudiesFemaleHeart FailureHumansMaleMiddle AgedPredictive Value of TestsPrognosisCarbon Monoxide

Identifiers

PMID34930963
PMCPMC8688523
OpenAlexW4200169498

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.