Evidence map›Paper›PMID 35908960›Full record

ReviewInternal medicine (Tokyo, Japan)2022

Predicting the CTG Repeat Size from a Single Spirometry Test Performed at Any Time during the Disease Course of Myotonic Dystrophy Type 1.

Kazuto Katsuse, Kenichiro Sato, Nobuyuki Tanaka, Idai Uchida, Tatsushi Toda, Takashi Mikata, Yasufumi Motoyoshi

Abstract readReview
In one paragraph

Review in Internal medicine (Tokyo, Japan), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

7 authors.

Kazuto KatsuseDepartment of Neurology, National Hospital Organization Shimoshizu National Hospital, Japan.
Kenichiro SatoDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Japan.
Nobuyuki TanakaDepartment of Neurology, National Hospital Organization Shimoshizu National Hospital, Japan.
Idai UchidaDepartment of Neurology, National Hospital Organization Shimoshizu National Hospital, Japan.
Tatsushi TodaDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Japan.
Takashi MikataDepartment of Neurology, National Hospital Organization Shimoshizu National Hospital, Japan.
Yasufumi MotoyoshiDepartment of Neurology, National Hospital Organization Shimoshizu National Hospital, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective In myotonic dystrophy type 1 (DM1), the CTG repeat size in the dystrophia myotonica protein kinase gene has been shown to correlate with disease severity and is a potential predictive marker for respiratory decline. However, genetic testing can be challenging in some clinical situations. We developed a simple formula for estimating the CTG repeat size using a single spirometry test in patients with DM1. Methods In this single-center retrospective study, we reviewed 50 consecutive patients with genetically confirmed DM1 whose follow-up visits were at our hospital. The patients were randomly assigned to training and test analysis subsets. By applying a linear mixed model to the longitudinal spirometry results of the training set, we calculated the fixed effects on the annual respiratory decline. Subsequently, we derived a prediction formula to calculate the repeat size that incorporated %vital capacity (%VC) and the patient's age at the time of the spirometry evaluation; the results were validated by the test set. Results A total of 157 spirometry tests were recorded. The fixed effects on the annual %VC decline were <img align="middle" src="./Graphics/abst-61_2281_1.jpg"/>=-0.90. The derived formula [repeat size=-16.8× (age+%VC/0.90) +2663] had a moderate predictive performance with a mean coefficient of determination <img align="middle" src="./Graphics/abst-61_2281_2.jpg"/> of 0.41. Conclusion The CTG repeat size in patients with DM1 can be potentially predicted using a simple formula based on a single spirometry test conducted at any time over the disease course. It can be useful as a supportive tool for advance care planning when genetic testing is not available.

Indexed as

Myotonic DystrophyDisease ProgressionHumansMyotonin-Protein KinaseRandomized Controlled Trials as TopicRetrospective StudiesSpirometryTrinucleotide Repeat ExpansionMyotonin-Protein KinaseCTG repeatlinear mixed modelmyotonic dystrophy type 1predictionrespiratory decline

Identifiers

PMID35908960
PMCPMC9424093

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Registered trials

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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.