Evidence map›Paper›PMID 41227712›Full record

ArticleFoods (Basel, Switzerland)2025

Textural Classification of Commercial Foodstuffs for Dysphagia Using Back-Extrusion Test.

María Teresa Murillo-Arbizu, Leyre Urtasun Del Castillo, Sandra González-Casado, Juan Jesús Marín-Méndez, Francisco C Ibañez, María José Beriain

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

María Teresa Murillo-ArbizuInstitute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarra (UPNA), Jerónimo de Ayanz Building, Arrosadia Campus, 31006 Pamplona, Navarre, Spain.ORCID 0000-0002-6371-0080
Leyre Urtasun Del CastilloNational Centre for Food Technology and Safety (CNTA), Crta-Na-134-Km 53, 31570 San Adrián, Navarre, Spain.ORCID 0000-0001-8999-0669
Sandra González-CasadoNational Centre for Food Technology and Safety (CNTA), Crta-Na-134-Km 53, 31570 San Adrián, Navarre, Spain.
Juan Jesús Marín-MéndezNational Centre for Food Technology and Safety (CNTA), Crta-Na-134-Km 53, 31570 San Adrián, Navarre, Spain.ORCID 0000-0002-7746-6365
Francisco C IbañezInstitute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarra (UPNA), Jerónimo de Ayanz Building, Arrosadia Campus, 31006 Pamplona, Navarre, Spain.ORCID 0000-0002-1147-6536
María José BeriainInstitute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarra (UPNA), Jerónimo de Ayanz Building, Arrosadia Campus, 31006 Pamplona, Navarre, Spain.ORCID 0000-0002-6662-6394

Funding

Gobierno de Navarra EHCALIDO project PC056-057
6 · The paper itself

Abstract

Oropharyngeal dysphagia (OD) management requires texture-modified foods (TMFs). The International Dysphagia Diet Standardization Initiative (IDDSI) framework classifies TMFs from drinks (levels 0-2) to purées and soft-solid foods (levels 3-4). However, current instrumental methods for analyzing commercial OD-oriented TMFs often fail to provide reliable classifications, limiting their clinical and industrial applicability. This study aimed to evaluate the effectiveness and reliability of the Back-Extrusion Test (BET) in classifying commercial OD-oriented TMFs according to the IDDSI framework. Fifty-four commercial TMFs were analyzed using BET1 method (firmness and adhesiveness), and BET2 method (firmness, consistency, cohesiveness, and cohesion work). A progressive increase in firmness and consistency was detected as IDDSI level rose, with significant differences between levels. The classification accuracy for IDDSI levels, as determined by discriminant analysis, was 66.1% (BET1) and 76.8% (BET2), although both methods showed reduced performance, particularly for level 4 foods. Cluster analysis revealed three groups by means of BET1 and BET2, identifying levels of foods with low, intermediate, and high textural complexity. This finding suggests that a simplified classification framework could improve objectivity and reliability in assessing OD-oriented TMFs. Furthermore, integrating additional instrumental techniques may improve the accuracy classification of commercial foods where BET methods fail.

Indexed as

IDDSI frameworkinstrumental textureswallowing disordertextural propertytexture-modified food

Identifiers

PMID41227712
PMCPMC12611084

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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.