Evidence map›Paper›PMID 31049746›Full record

ArticleClinical and experimental nephrology2019

A quantitative approach to intravenous fluid therapy in the syndrome of inappropriate antidiuretic hormone secretion.

Philip J G M Voets, Nils P J Vogtländer

Open access · hybridAbstract read
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Article in Clinical and experimental nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 12 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

2 authors at 1 institution in 1 country.

Philip J G M VoetsDepartment of Nephrology, Gelre Hospital, Albert Schweitzerlaan 31, 7334 DZ, Apeldoorn, The Netherlands. p.voets@gelre.nl.
Nils P J VogtländerDepartment of Nephrology, Gelre Hospital, Albert Schweitzerlaan 31, 7334 DZ, Apeldoorn, The Netherlands.
Gelre Hospitals · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA wide range of interesting mathematical models has been derived to predict the effect of intravenous fluid therapy on the serum sodium concentration (most notably the Adrogué-Madias equation), but unfortunately, these models cannot be applied to patients with disorders characterized by aberrant antidiuretic hormone (ADH) release, such as the syndrome of inappropriate ADH secretion (SIADH). The use of intravenous fluids in these patients should prompt caution, as the inability of the kidneys to properly dilute the urine can easily result in deterioration of hyponatremia.

methodsIn this report, a transparent and clinically applicable equation is derived that can be used to calculate the estimated effect of different types and volumes of crystalloid infusate on the serum sodium concentration in SIADH patients. As a "proof of concept", we discuss five SIADH patient cases from our clinic. Alternatively, our mathematical model can be used to determine the infusate volume that is required to produce a certain desired change in the serum sodium concentration in SIADH patients.

conclusionThe presented model facilitates rational intravenous fluid therapy in SIADH patients, and provides a valuable addition to existing prediction models.

Indexed as

Fluid TherapyModels, BiologicalWater-Electrolyte BalanceAgedAged, 80 and overBiomarkersCrystalloid SolutionsFemaleHumansInappropriate ADH SyndromeInfusions, IntravenousKidneyMaleMiddle AgedOsmolar ConcentrationProof of Concept StudyBiomarkersCrystalloid SolutionsSodiumAntidiuretic hormoneEquationFormulaIntravenous fluid therapySerum sodium concentrationSIADH

Identifiers

PMID31049746
PMCPMC6647532
OpenAlexW2943693409

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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.