Evidence map›Paper›PMID 40830209›Full record

ArticleScientific reports2025

MOFI-FL, a novel score for detecting hepatic steatosis and predicting cardiometabolic mortality.

Juan Reyes-Barrera, Rosalinda Posadas-Sánchez, Gilberto Vargas-Alarcón, Guillermo C Cardoso-Saldaña, Paloma Almeda-Valdes, Omar Yaxmehen Bello Chavolla, Luis Ortiz-Hernandez, Neftali Eduardo Antonio-Villa

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Juan Reyes-BarreraDoctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Ciudad de México, México.ORCID http://orcid.org/0000-0002-1804-8198
Rosalinda Posadas-SánchezDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano Nº 1, Colonia Sección XVI, México City, C. P. 14030, México.ORCID http://orcid.org/0000-0001-8467-3488
Gilberto Vargas-AlarcónDepartment of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, México City, México.ORCID http://orcid.org/0000-0001-7916-5163
Guillermo C Cardoso-SaldañaDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano Nº 1, Colonia Sección XVI, México City, C. P. 14030, México.ORCID http://orcid.org/0000-0001-9525-1731
Paloma Almeda-ValdesEndocrinology and Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, México.ORCID https://orcid.org/0000-0002-9701-5879
Omar Yaxmehen Bello ChavollaDivision of Research, Instituto Nacional de Geriatría, México City, México.ORCID https://orcid.org/0000-0003-3093-937X
Luis Ortiz-HernandezDepartamento de Atención a la Salud, Universidad Autónoma Metropolitana Unidad Xochimilco, Ciudad de México, México.ORCID http://orcid.org/0000-0002-5870-1729
Neftali Eduardo Antonio-VillaDepartment of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano Nº 1, Colonia Sección XVI, México City, C. P. 14030, México. neftalivilla@comunidad.unam.mx.ORCID http://orcid.org/0000-0002-6879-1078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic steatosis (HS) is a common condition linked to increased cardiometabolic risk; however, biopsy and imaging-based methods limit the widespread diagnosis, especially in low-resource settings. Here, we develop the MOFI-FL index, a simplified tool for HS detection, validate its performance against vibration-controlled transient elastography (VCTE), and evaluate its association with all-cause and cause-specific mortality. Using data from the Genetics of Atherosclerotic Disease study as our discovery cohort, we developed MOFI-FL, incorporating ALT, glucose, uric acid, and BMI, with computed tomography (CT) as the gold standard of HS. We used the continuous NHANES (2017-2018 cycles, n = 4,405) to validate against VCTE and compare our index with four previously validated HS indices (FLI, HSI, NAFLD-LFS, and AST/ALT). Finally, we assessed all-cause and cause-specific mortality prediction using the NHANES-III cohort (n = 12,684) using Cox proportional hazards models adjusted for relevant confounders. The MOFI-FL index demonstrated good diagnostic performance in the internal validation cohort against CT (AUROC: 0.78 [95% CI: 0.72-0.83]; accuracy: 75% [70-79]) and against VCTE (NHANES 17-18: AUROC 0.77 [0.68-0.76]; accuracy: 70% [68-71]). It outperformed existing HS indices in the external cohort. Furthermore, a 1% increase in MOFI-FL was positively associated with all-cause mortality (HR = 1.005 [1.004-1.007]), as well as cardiovascular (HR = 1.008 [1.004-1.007]), diabetes-related (HR = 1.034 [1.028-1.040]), and nephrological deaths (HR = 1.012 [1.000-1.024]). MOFI-FL is a novel and simple tool for HS detection. It offers comparable performance to established indices and predictive capacity for cardiometabolic mortality, making it accessible for clinical and epidemiological applications.

Indexed as

Cardiovascular DiseasesFatty LiverAdultAgedElasticity Imaging TechniquesFemaleHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseNutrition SurveysTomography, X-Ray ComputedClinical surrogateFatty liverHepatic steatosisLiver disease

Identifiers

PMID40830209
PMCPMC12365217

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.