Evidence map›Paper›PMID 36079712›Full record

ArticleNutrients2022

Rheological Properties and Stability of Thickeners for Clinical Use.

Fernando Calmarza-Chueca, Ana Cristina Sánchez-Gimeno, Javier Raso-Pueyo, José Miguel Arbones-Mainar, Alberto Caverni-Muñoz, Alejandro Sanz-Arque, Alejandro Sanz-Paris

Abstract read
In one paragraph

Article in Nutrients, 2022. 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
–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

5 citing papers in PubMed.

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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

7 authors.

Fernando Calmarza-ChuecaDepartment of Endocrinology and Nutrition, Miguel Servet Hospital, 50009 Zaragoza, Spain.ORCID 0000-0001-5907-7844
Ana Cristina Sánchez-GimenoFood Technology, Faculty of Veterinary, AgriFood Institute of Aragon (IA2), Zaragoza University, C/Miguel Servet, 177, 50013 Zaragoza, Spain.ORCID 0000-0002-5086-7839
Javier Raso-PueyoFood Technology, Faculty of Veterinary, AgriFood Institute of Aragon (IA2), Zaragoza University, C/Miguel Servet, 177, 50013 Zaragoza, Spain.ORCID 0000-0003-3957-9091
José Miguel Arbones-MainarAragón Health Research Institute, 50009 Zaragoza, Spain.ORCID 0000-0002-8982-3737
Alberto Caverni-MuñozDiet Service, Renal Patient's Association, Alcer Ebro, 50009 Zaragoza, Spain.
Alejandro Sanz-ArqueDepartment of Endocrinology and Nutrition, Miguel Servet Hospital, 50009 Zaragoza, Spain.
Alejandro Sanz-ParisDepartment of Endocrinology and Nutrition, Miguel Servet Hospital, 50009 Zaragoza, Spain.ORCID 0000-0002-7758-3588

Funding

Hospital Universitario Miguel Servet 1346-Nutriciencia
6 · The paper itself

Abstract

The adaptation of liquids for patients with dysphagia requires precision and individualization in the viscosities used. We describe the variations of viscosity in water at different concentrations and evolution over time of the three compositions of commercial thickeners that are on the market (starch, starch with gums, and gum). By increasing the concentration in water, the viscosity of gum-based thickeners increases linearly, but it did not reach pudding texture, whereas the viscosity of the starch-based thickeners (alone or mixed with gums) rapidly reaches very thick textures. We modeled the viscosity at different concentrations of the four thickeners using regression analysis (R2 > 0.9). We analyzed viscosity changes after 6 h of preparation. The viscosity of gum-based thickeners increased by a maximum of 6.5% after 6 h of preparation, while starch-based thickeners increased by up to 43%. These findings are important for correct handling and prescription. Gum-based thickeners have a predictable linear behavior with the formula we present, reaching nectar and honey-like textures with less quantity of thickener, and are stable over time. In contrast, starch thickeners have an exponential behavior which is difficult to handle, they reach pudding-like viscosity, and are not stable over time.

Indexed as

Deglutition DisordersFood AdditivesHumansStarchViscosityWaterFood AdditivesStarchWaterconcentrationdysphagiapredictive modelrheologythickenerviscosity

Identifiers

PMID36079712
PMCPMC9460253

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.