Evidence map›Paper›PMID 41147646›Full record

ArticleAssessment2026

Development and Validation of the IC3: An Online Remote Assessment Technology for Deep Phenotyping and Monitoring of Cognitive Impairment After Stroke.

Dragos-Cristian Gruia, Valentina Giunchiglia, Aoife Coghlan, Sophie Brook, Soma Banerjee, Joseph Kwan, Peter J Hellyer, Adam Hampshire, Fatemeh Geranmayeh

Abstract readValidation Study
In one paragraph

Article in Assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

9 authors.

Dragos-Cristian GruiaImperial College London, UK.ORCID 0000-0003-0979-0953
Valentina GiunchigliaImperial College London, UK.
Aoife CoghlanImperial College London, UK.
Sophie BrookImperial College London, UK.
Soma BanerjeeImperial College London, UK.
Joseph KwanImperial College London, UK.
Peter J HellyerKing's College London, UK.
Adam HampshireImperial College London, UK.
Fatemeh GeranmayehImperial College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated cognitive assessments tailored to specific clinical scenarios have the potential to revolutionize health care and clinical research. Stroke survivors experience significant burden from underdiagnosed cognitive deficits. To address this, we developed a digital cognitive battery (IC3 [the Imperial Comprehensive Cognitive Assessment in Cerebrovascular Disease]) highly optimized for stroke survivors, and specifically designed for unsupervised administration in patients with mild to moderate stroke, thus enabling detailed remote diagnosis and monitoring of a variety post-stroke cognitive impairments. In a study involving 90 stroke survivors and over 6,000 age-matched healthy adults, the battery demonstrated high concordance with the Montreal Cognitive Assessment (MoCA), a commonly used supervised clinical neuropsychological assessment (

Indexed as

Cognitive DysfunctionNeuropsychological TestsStrokeAgedFemaleHumansMaleMiddle AgedPhenotypeQuality of Lifecognitioncognitive assessmentdigital healthneurologyneuropsychologystrokevalidation

Identifiers

PMID41147646
PMCPMC13675564

What OpenQuestion holds

Textmetadata
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.