Evidence map›Paper›PMID 42514301›Full record

ArticleNutrients2026

Communication and Health in Chronic Childhood Undernutrition: Explainable Ensemble Learning to Identify Dietary Predictors of Infant Feeding Practices and Maternal Supplementation in Ecuador.

Karen Cáceres-Benítez, Ana Marcillo-Vera, Diego Almeida-Galárraga, Nathaly Orozco Garzón, Henry Carvajal Mora, Edgar Eduardo Benitez Olivo, Andrés Tirado-Espín

Abstract read
In one paragraph

Article in Nutrients, 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
0cells of the map it votes in
0citing 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

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

7 authors.

Karen Cáceres-BenítezSchool of Science Biological and Engineering, Yachay Tech University, Urcuquí 100119, Ecuador.ORCID 0009-0006-1973-0101
Ana Marcillo-VeraSchool of Mathematical and Computational Sciences, Yachay Tech University, Hacienda San José s/n, Urcuquí 100119, Ecuador.ORCID 0009-0006-6999-7664
Diego Almeida-GalárragaSchool of Science Biological and Engineering, Yachay Tech University, Urcuquí 100119, Ecuador.ORCID 0000-0002-9196-335X
Nathaly Orozco GarzónETEL Research Group, Faculty of Engineering and Applied Sciences, Networking and Telecommunications Engineering, Universidad de Las Américas (UDLA), Quito 170503, Ecuador.ORCID 0000-0002-5232-7529
Henry Carvajal MoraColegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Diego de Robles S/N, Quito 170157, Ecuador.ORCID 0000-0003-0529-8224
Edgar Eduardo Benitez OlivoDepartment of Communications, School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas 138083-852, SP, Brazil.ORCID 0000-0002-2200-3101
Andrés Tirado-EspínSchool of Mathematical and Computational Sciences, Yachay Tech University, Hacienda San José s/n, Urcuquí 100119, Ecuador.ORCID 0000-0002-5368-4122

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 420148/2023-0Fundo de Apoio ao Ensino, 825 Pesquisa e Extensão da UNICAMP 2198/25 and 2621/25Universidad de Las Américas 577.A.XVII.25Universidad San Francisco de Quito 41991
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Child Nutrition DisordersDietDietary SupplementsGrowth DisordersInfant Nutritional Physiological PhenomenaInfant Nutrition DisordersMachine LearningBreast FeedingEcuadorFemaleHumansInfantInfant, NewbornMaleNutritional StatusPredictive Learning Modelschronic undernutritionEcuadorENDIexplainable machine learninginfant feedingmaternal supplementationSHAPstunting

Identifiers

PMID42514301
PMCPMC13414798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.