Using Artificial Neural Network Models (ANNs) to Identify Patients with Idiopathic Normal Pressure Hydrocephalus (INPH) and Alzheimer Dementia (AD): Clinical Psychological Features and Differential Diagnosis.

Lara Gitto, Carmela Mento, Giulia Massini, Paolo Massimo Buscema, Giovanni Raffa, Antonio Francesco Germanò, Maria Catena Ausilia Quattropani

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Article in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Editorial for Special Issue "Advances in Public Health and Healthcare Management for Chronic Care".Medicina (Kaunas, Lithuania) · 2025
Article

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.

Lara GittoDepartment of Economics, University of Messina, 98125 Messina, Italy.ORCID 0000-0002-0510-9238

Carmela MentoDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98125 Messina, Italy.ORCID 0000-0003-4611-3740

Giulia MassiniSemeion Research Center of Sciences of Communication, 00128 Rome, Italy.

Paolo Massimo BuscemaSemeion Research Center of Sciences of Communication, 00128 Rome, Italy.ORCID 0000-0003-4356-0510

Giovanni RaffaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98125 Messina, Italy.ORCID 0000-0001-8623-4964

Antonio Francesco GermanòDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, 98125 Messina, Italy.

Maria Catena Ausilia QuattropaniDepartment of Educational Sciences, University of Catania, 95124 Catania, Italy.ORCID 0000-0003-0711-6412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer DiseaseHydrocephalus, Normal PressureNeural Networks, ComputerAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedNeuropsychological TestsAlzheimer’s dementia (AD)artificial neural network (ANN) modelsidiopathic normal pressure hydrocephalus (INPH)Rorschach inkblot test

Identifiers

PMID40870377

DOI10.3390/medicina61081332

PMCPMC12387902

What OpenQuestion holds

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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.