Evidence map›Paper›PMID 40938277›Full record

Trial reportAnnals of clinical and translational neurology2025

Assessing a Mitochondrial Disease Treatment via a Novel Statistical Technique for Accelerometer Data.

Ian W McKeague, Kristin Engelstad, Yue Ge, Amber Tucker, Shufang Li, Jasim Uddin, Ziwei Zhao, John L P Thompson, Michio Hirano

Abstract readClinical Trial, Phase II
In one paragraph

Trial report in Annals of clinical and translational neurology, 2025. 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

9 authors.

Ian W McKeagueDepartment of Biostatistics, Columbia University, New York, New York, USA.
Kristin EngelstadDepartment of Neurology, Columbia University, New York, New York, USA.ORCID 0000-0002-9138-1069
Yue GeDepartment of Biostatistics, Columbia University, New York, New York, USA.
Amber TuckerDepartment of Neurology, Columbia University, New York, New York, USA.
Shufang LiDepartment of Neurology, Columbia University, New York, New York, USA.
Jasim UddinDepartment of Neurology, Columbia University, New York, New York, USA.
Ziwei ZhaoCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.ORCID 0009-0001-7027-4539
John L P ThompsonDepartment of Biostatistics, Columbia University, New York, New York, USA.
Michio HiranoDepartment of Neurology, Columbia University, New York, New York, USA.ORCID 0000-0002-7070-7402

Funding

The North American Mitochondrial Disease Consortium (NAMDC)U54NS078059 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VAN HOVE, JOHAN L · 2011 to 2023
$17.5M
Inferential methods for functional data from wearable devicesR01AG062401 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCKEAGUE, IAN WRAY · 2019 to 2023
$1.5M
NIA NIH HHS R01 AG062401NIH HHS 1R01 AG062401NIH HHS U54 NS078059NINDS NIH HHS U54 NS078059
6 · The paper itself

Abstract

objectiveTherapeutic development for mitochondrial diseases, rare genetic disorders with pathogenic defects of oxidative phosphorylation, is hindered by unsatisfactory outcome measures. To address this problem, we provide the first clinical application of a novel, bias-adjusted outcome measure of acceleration across a range of subjects' activities to assess nucleoside therapy for thymidine kinase 2 deficiency, an ultra-rare autosomal recessive mitochondrial disease.

methodsData were collected from treated patients in an ongoing phase 2 clinical trial who served as their own controls. If there is a treatment effect, time-in-activity curves for these patients will increase over successive clinic visits. We used a combination of functional data analysis and longitudinal mixed-effects linear regression, adjusted for age and gender, to test for the effect of treatment length on time-in-activity.

resultsFor 14 patients with at least two assessments 6 months apart, we found a significant overall improvement of time-in-activity due to treatment. Improvement was especially significant at two individual activity levels within the range (0.14 and 2 g). In longitudinal analyses, using data on time-in-activity at these two levels for all clinic visits of 19 subjects, the effect of treatment length on time-in-activity was highly significant at both 0.14 g (0.04, CI 0.01-0.08, p = 0.023) and 2 g (0.01, 0.00-0.02, p = 0.013).

interpretationThis small-N exploratory analysis using a new accelerometer-based activity measure featuring powerful data reduction and adjustment for circadian rhythms and other biases finds that nucleoside therapy may increase activity levels in thymidine kinase 2 deficiency patients.

Indexed as

AccelerometryMitochondrial DiseasesOutcome Assessment, Health CareThymidine KinaseAdolescentAdultChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMiddle AgedYoung AdultThymidine Kinasethymidine kinase 2accelerometermitochondrial diseaseoutcome measurethymidine kinase 2 deficiency

Identifiers

PMID40938277
PMCPMC12698933

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.