Evidence map›Paper›PMID 41305673›Full record

ArticleNutrients2025

Identifying Key Features Associated with Excessive Fructose Intake: A Machine Learning Analysis of a Mexican Cohort.

Guadalupe Gutiérrez-Esparza, Mireya Martínez-García, María Del Carmen González Salazar, Luis M Amezcua-Guerra, Malinalli Brianza-Padilla, Tania Ramírez-delReal, Enrique Hernández-Lemus

Abstract read
In one paragraph

Article in Nutrients, 2025. 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.

Guadalupe Gutiérrez-Esparza"Researcher for Mexico" Program, Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI), Mexico City 03940, Mexico.ORCID 0000-0003-0090-2701
Mireya Martínez-GarcíaDepartment of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0002-2876-8500
María Del Carmen González SalazarDepartment of Nutrition, Ambulatory Care Services, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.
Luis M Amezcua-GuerraDepartment of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0002-6258-5732
Malinalli Brianza-PadillaDepartment of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0002-0238-8278
Tania Ramírez-delReal"Researcher for Mexico" Program, Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI), Mexico City 03940, Mexico.ORCID 0000-0002-1638-5086
Enrique Hernández-LemusComputational Genomics Division, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.ORCID 0000-0002-1872-1397

Funding

SECIHTI 1591
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DietFructoseMachine LearningAdultAlgorithmsBody Mass IndexCluster AnalysisCohort StudiesFemaleHumansMaleMexicoMiddle AgedTriglyceridesYoung AdultFructoseTriglyceridesartificial sweetenerscluster analysisdietary sugarsfructosemachine learningnutritional statusrisk factors

Identifiers

PMID41305673
PMCPMC12655771

What Socratic 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 Socratic graph.