Evidence map›Paper›PMID 34366938›Full record

ArticleFrontiers in psychiatry2021

Validity and Cultural Generalisability of a 5-Minute AI-Based, Computerised Cognitive Assessment in Mild Cognitive Impairment and Alzheimer's Dementia.

Chris Kalafatis, Mohammad Hadi Modarres, Panos Apostolou, Haniye Marefat, Mahdiyeh Khanbagi, Hamed Karimi, Zahra Vahabi, Dag Aarsland, Seyed-Mahdi Khaligh-Razavi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Artificial intelligence in rehabilitation: a living systematic mapping review - first release.European journal of physical and rehabilitation medicine · 2025
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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

9 authors at 5 institutions in 2 countries.

Chris KalafatisCognetivity Ltd, London, United Kingdom.
Mohammad Hadi ModarresCognetivity Ltd, London, United Kingdom.
Panos ApostolouCognetivity Ltd, London, United Kingdom.
Haniye MarefatSchool of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
Mahdiyeh KhanbagiDepartment of Stem Cells and Developmental Biology, Cell Science Research Centre, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Hamed KarimiDepartment of Stem Cells and Developmental Biology, Cell Science Research Centre, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Zahra VahabiTehran University of Medical Sciences, Tehran, Iran.
Dag AarslandDepartment of Old Age Psychiatry, King's College London, London, United Kingdom.
Seyed-Mahdi Khaligh-RazaviCognetivity Ltd, London, United Kingdom.
King's College London · GBRoyan Institute · IRAcademic Center for Education, Culture and Research · IRInstitute for Research in Fundamental Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecomputerised cognitive assessmentintegrated cognitive assessmentmachine learningmild Alzheimer diseasemild cognitive impairment

Identifiers

PMID34366938
PMCPMC8339427
OpenAlexW3141907569

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.