Evidence map›Paper›PMID 40826836›Full record

ArticleThe Clinical neuropsychologist2026

Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.

Lucas Federico Sterpin, Camilo Avendaño Avello, Jeremías Inchauspe, Gonzalo Nicolás Pérez, Franco J Ferrante, Agustina Birba, Carolina A Gattei, Lorena Abusamra, Bárbara Sampedro, Valeria Abusamra and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Clinical neuropsychologist, 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

12 authors.

Lucas Federico SterpinCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Camilo Avendaño AvelloCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Jeremías InchauspeCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Gonzalo Nicolás PérezCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Franco J FerranteCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Agustina BirbaCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Carolina A GatteiNational Scientific and Technical Research Council (CONICET), Argentina.
Lorena AbusamraHospital Dr. Diego Thompson, Buenos Aires, Argentina.
Bárbara SampedroFacultad de Filosofía y Letras, Instituto de Lingüística, Universidad de Buenos Aires, Buenos Aires, Argentina.
Valeria AbusamraCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Lucía AmorusoCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.
Adolfo M GarcíaCognitive Neuroscience Center, University of San Andrés, Buenos Aires, Argentina.

Funding

An automated machine learning approach to language changes in Alzheimer’s disease and frontotemporal dementia across Latino and English-speaking populationsR01AG075775 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI, Adolfo Martin Garcia · 2023 to 2026
$7.2M
NIA NIH HHS R01 AG075775
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

HIV InfectionsMachine LearningMemory DisordersMemory, EpisodicNatural Language ProcessingAdultFemaleHumansMaleMiddle AgedNeuropsychological TestsSemanticsepisodic memoryHIV-associated neurocognitive disordersHuman immunodeficiency virusnatural language processingstory retelling

Identifiers

PMID40826836
PMCPMC13074815

What OpenQuestion holds

Textmetadata
LicenceTDM
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.