Evidence map›Paper›PMID 42039895›Full record

ArticleFrontiers in nutrition2026

Starch-based thickening in infant formula:

Charyssa De Smul, Josephine Braekman, Lotte De Wever, Valérie Vanhoorne, Eline Tommelein

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Charyssa De Smul *Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Josephine Braekman *Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Lotte De WeverLaboratory of Pharmaceutical Technology, Department of Pharmaceutics, Ghent University, Ghent, Belgium.
Valérie VanhoorneLaboratory of Pharmaceutical Technology, Department of Pharmaceutics, Ghent University, Ghent, Belgium.
Eline TommeleinDepartment of Pharmaceutical and Pharmacological Sciences, Experimental Pharmacology, Vrije Universiteit Brussel, Jette, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The addition of starch-based thickening agents to increase the viscosity of infant formula is common practice in primary care. However, this strategy lacks standardized preparation steps and a benchmark for therapeutic effect. Therefore, this study aims: (1) to determine the optimal preparation method for infant formulas (pre-)thickened with starch; (2) to evaluate their viscosity in the bottle; (3) to assess their viscosity under simulated gastric conditions; and (4) to estimate the caloric contribution of externally added starch-based thickeners to standard infant formulas. Methods: We performed Results: The results show that infant formulas containing starch, whether inherently pre-thickened or prepared with added starch-based thickeners, require vigorous shaking to ensure complete solubilization of starch granules. Preparation at 37 °C further supports more proper dispersion over preparation at 20 °C. Standard formulas thickened with rice flour demonstrate limited stability, with a marked decline in viscosity after 20 min at 20 °C, indicating they should be prepared and consumed promptly. In contrast, formulas pre-thickened with potato starch reach their peak viscosity only after approximately 30 min. Nevertheless, when exposed to simulated gastric conditions, the elevated viscosities observed in the bottle for both types are not maintained but rather comparable to those of standard, non-thickened formulas. Furthermore, adding starch-based thickeners substantially elevates the caloric content of infant feeds. Conclusion: Our findings suggest that SFRF should be administered within 20 min of preparation and IFPS must be shaken

Indexed as

infant formula preparationrefluxregurgitationstarchviscosity

Identifiers

PMID42039895
PMCPMC13106065

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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.