Evidence map›Paper›PMID 41374426›Full record

ArticleDiagnostics (Basel, Switzerland)2025

The ICN-UN Battery: A Machine Learning-Optimized Tool for Expeditious Alzheimer's Disease Diagnosis.

Ernesto Barceló, Duban Romero, Ricardo Allegri, Eliana Meza, María I Mosquera-Heredia, Oscar M Vidal, Carlos Silvera-Redondo, Mauricio Arcos-Burgos, Pilar Garavito-Galofre, Jorge I Vélez

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

10 authors.

Ernesto BarcelóInstituto Colombiano de Neuropedagogía, Barranquilla 080020, Colombia.
Duban RomeroInstituto Colombiano de Neuropedagogía, Barranquilla 080020, Colombia.ORCID 0000-0003-4828-9766
Ricardo AllegriInstitute for Neurological Research FLENI, Montañeses 2325, Buenos Aires C1428AQK, Argentina.
Eliana MezaInstituto Colombiano de Neuropedagogía, Barranquilla 080020, Colombia.
María I Mosquera-HerediaDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-9662-2925
Oscar M VidalDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-7807-1242
Carlos Silvera-RedondoDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.
Mauricio Arcos-BurgosGrupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia.
Pilar Garavito-GalofreDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.
Jorge I VélezDepartment of Industrial Engineering, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-3146-7899

Funding

Sistema General de Regalías de Colombia BPIN 2020000100449
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer’s diseasecognitive impairmentdiagnostic protocolMachine Learningneuropsychological assessment

Identifiers

PMID41374426
PMCPMC12691277

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.