Evidence map›Paper›PMID 32437441›Full record

ArticlePloS one2020

Voltammetric analysis for distinguishing portal hypertension-related from malignancy-related ascites: A proof of concept study.

Moises Muley, Umberto Vespasiani-Gentilucci, Antonio De Vincentis, Marco Santonico, Giorgio Pennazza, Simona Sanguedolce, Cristiana De Luca, Francesco Plotti, Antonio Picardi, Raffaele Antonelli-Incalzi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.6field-weighted citation impact, top 32% 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, 6 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

10 authors at 1 institution in 1 country.

Moises MuleyInternal Medicine and Hepatology, Università Campus Bio-Medico, Roma, Lazio, Italy.ORCID 0000-0001-9723-7116
Umberto Vespasiani-GentilucciInternal Medicine and Hepatology, Università Campus Bio-Medico, Roma, Lazio, Italy.
Antonio De VincentisInternal Medicine and Hepatology, Università Campus Bio-Medico, Roma, Lazio, Italy.
Marco SantonicoUnit of Electronics for Sensor Systems, Department of Science and Technology for Humans and the Environment, Università Campus Bio-Medico, Roma, Lazio, Italy.
Giorgio PennazzaElectronics for Sensor Systems Unit, Department of Engineering, Università Campus Bio-Medico, Roma, Lazio, Italy.
Simona SanguedolceInternal Medicine and Hepatology, Università Campus Bio-Medico, Roma, Lazio, Italy.
Cristiana De LucaGynaecology and Obstetrics Unit, Università Campus Bio-Medico, Roma, Lazio, Italy.
Francesco PlottiGynaecology and Obstetrics Unit, Università Campus Bio-Medico, Roma, Lazio, Italy.
Antonio PicardiInternal Medicine and Hepatology, Università Campus Bio-Medico, Roma, Lazio, Italy.
Raffaele Antonelli-IncalziGeriatric Unit, Università Campus Bio-Medico, Roma, Lazio, Italy.
Università Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum-ascites albumin gradient (SAAG) remains the most sensitive and specific marker for the differentiation of ascites due to portal hypertension from ascites due to other causes. SAAG has some limitations and may fail in selected conditions. Voltammetric analysis (VA) has been used for the detection of electroactive species of biological significance and has proven effective for detection infections in biological fluids.

aimsIn this study, we compared the accuracy of voltammetric analysis (VA) with that of SAAG to differentiate ascites due to portal hypertension from that having a different origin.

methods80 ascites samples were obtained from patients undergoing paracentesis at the Campus Bio-Medico Hospital of Rome. VA was performed using the BIONOTE device. The ability of VA to discriminate ascitic fluid etiology and biochemical parameters was evaluated using Partial Least Square Discriminant Analysis (PLS-DA), with ten-fold cross-validations.

resultsMean age was 68.6 years (SD 12.5), 58% were male. Ascites was secondary to only portal hypertension in 72.5% of cases (58 subjects) and it was secondary to a baseline neoplastic disease in 27.5% of cases (22 subjects). Compared to SAAG≥1.1, e-tongue predicted ascites from portal hypertension with a better accuracy (92.5% Vs 87.5%); sensitivity (98.3% Vs 94.8%); specificity (77.3% Vs 68.2%); predictive values (PPV 91.9% Vs 88.7% and NPV 94.4% Vs 83.3%). VA correctly classified ascites etiology in 57/58 (98.2%) of cases with portal hypertension and in 17/22 (77.2%) of cases with malignancy. Instead, VA showed poor predictive capacities towards total white blood count and polymorphonuclear cell count.

conclusionsAccording to this proof of concept study, VA qualifies as a promising low-cost and easy method to discriminate between ascites secondary to portal hypertension and ascites due to malignancy.

Indexed as

AgedAged, 80 and overAlbuminsAscitesAscitic FluidBiomarkersChemistry Techniques, AnalyticalDiagnosis, DifferentialElectrochemical TechniquesFemaleHumansHypertension, PortalMaleMiddle AgedNeoplasmsPattern Recognition, AutomatedAlbuminsBiomarkersSerum Albumin, Human

Identifiers

PMID32437441
PMCPMC7241828
OpenAlexW3027926044

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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.