Evidence map›Paper›PMID 42535342›Full record

ArticleAnnals of clinical and translational neurology2026

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use.

Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 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

10 authors.

Oksana PogoryelovaTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Jan SmeitinkKhondrion BV, Nijmegen, the Netherlands.
Herma RenkemaKhondrion BV, Nijmegen, the Netherlands.
Rosabeth WhiteSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0009-0007-2567-6938
Frankie BartonTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Rachel LyonTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Jane NewmanTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Aye MoeTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Yi Shiau NgTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Grainne Siobhan GormanTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.

Funding

Mito Foundation G190
6 · The paper itself

Abstract

backgroundPrimary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease-modifying treatments in the future. Selecting appropriate therapeutic outcomes for clinical trials in mitochondrial diseases is challenging due to limited sensitivity to changes, small sample sizes, and the burden of study related activities. This study aims to identify an efficient choice of cognitive endpoints for translational research.

methodsThis study compared digital cognitive assessments with traditional paper-based tools. It included two cohorts: the Newcastle cohort of 45 patients recruited from the mitochondrial clinic Newcastle upon Tyne (UK) and the KHENERGYZE clinical trial cohort of 27 patients recruited from four European countries. Patients in the Newcastle cohort underwent two conventional cognitive assessments (Addenbrooke's Cognitive Examination and Montreal Cognitive Assessment), along with two computerized tests (Cogstate and Test of Attentional Performance). Potential confounding factors were also assessed.

resultsBoth cohorts showed a high prevalence of moderate to severe perceived fatigue. Over 50% of patients showed reduced reaction times. Strong correlations were found between conventional and digital assessments. Several confounding factors such as education and employment were identified as influencing cognitive performance.

conclusionsThe findings support the understanding of mitochondrial disease as a slowly progressive condition, where impaired cognitive function is evident even in patients in the absence of devastating CNS manifestations such as stroke-like episodes. Observed variability in cognitive performance may help detect meaningful changes over time.

Indexed as

minimal clinically important differencesneurocognitive assessmentsneurodegenerationprimary mitochondrial disease

Identifiers

PMID42535342
PMCPMC13425317

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.