Evidence map›Paper›PMID 31673761›Full record

ArticleJournal of neurology2020

Predicting daytime sleepiness and fatigue: a 9-year prospective study in myotonic dystrophy type 1.

Luc Laberge, Benjamin Gallais, Julie Auclair, Yves Dauvilliers, Jean Mathieu, Cynthia Gagnon

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. A systematic review of the frequency of sleep evaluations, sleep disorders, and treatments among individuals with muscular dystrophy.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Pooled it
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  9. Assessment of self-reported and objective daytime sleepiness in adult-onset myotonic dystrophy type 1.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  10. Subjective-objective sleepiness discrepancy in adult-onset myotonic dystrophy type 1.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
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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

6 authors at 4 institutions in 2 countries.

Luc LabergeÉCOBES-Recherche et Transfert, Cégep de Jonquière, 2505, Rue Saint Hubert, Jonquière, QC, G7X 7W2, Canada. luclaberge@cegepjonquiere.ca.ORCID http://orcid.org/0000-0001-5669-7087
Benjamin GallaisÉCOBES-Recherche et Transfert, Cégep de Jonquière, 2505, Rue Saint Hubert, Jonquière, QC, G7X 7W2, Canada.
Julie AuclairÉCOBES-Recherche et Transfert, Cégep de Jonquière, 2505, Rue Saint Hubert, Jonquière, QC, G7X 7W2, Canada.
Yves DauvilliersDépartement de Neurologie, Hôpital Gui-de-Chauliac, INSERM U1061, 80 Avenue Augustin Fliche, 34295, Montpellier Cedex 5, France.
Jean MathieuFaculté de Médecine et des Sciences de la Santé, École de Réadaptation, Université de Sherbrooke, Sherbrooke, QC, Canada.
Cynthia GagnonFaculté de Médecine et des Sciences de la Santé, École de Réadaptation, Université de Sherbrooke, Sherbrooke, QC, Canada.
Université de Sherbrooke · CACégep de Jonquière · CAInserm · FRUniversité du Québec à Chicoutimi · CA

Funding

PrEP Uptake/Adherence to Reduce Periconception HIV Risk for South African WomenR01MH108412 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MATTHEWS, LYNN T · 2016 to 2020
$3.3M
Fonds de Recherche du Québec - Santé 31011Institute of Neurosciences, Mental Health and Addiction JNM-108412
6 · The paper itself

Abstract

objectiveDaytime sleepiness and fatigue are prominent symptoms of myotonic dystrophy type I (DM1) that exact a heavy toll on patients' quality of life, but information is scarce on their predictive factors. This study aimed to determine factors that may influence levels of daytime sleepiness and fatigue in a large cohort of DM1 patients followed for 9 years.

methodsThis study included 115 patients with DM1 at baseline (Time 1, T1) and at Time 2 (T2) who were questioned for daytime sleepiness, fatigue, history of depression, psychological distress, pain, hypothyroidism, and sleep habits. Also, their muscular impairment and intellectual quotient were evaluated. Regression models were used to identify correlates of daytime sleepiness and fatigue while controlling for time effect.

resultsBoth daytime sleepiness and fatigue increased between T1 and T2, but their rate of change are higher when CTG repeat number is higher (p < 0.05). Also, higher psychological distress level is associated with higher daytime sleepiness and fatigue levels both at T1 and T2 (p < 0.01). Moreover, patients with a history of depression report higher daytime sleepiness levels both at T1 and T2 (p < 0.05). In addition, patients with higher fatigue levels both at T1 and T2 have more severe muscular impairment (p < 0.01) and report a longer habitual sleep duration (p < 0.05). Finally, a higher BMI and a history of hypothyroidism predict higher daytime sleepiness levels at T2 (p < 0.05).

conclusionThis study identified potentially modifiable risk factors of future daytime sleepiness and fatigue in DM1 patients, including BMI, psychological distress, hypothyroidism, and sleep habits.

Indexed as

Disease ProgressionDisorders of Excessive SomnolenceFatigueMyotonic DystrophyAdultFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesPsychological DistressRisk FactorsDaytime sleepinessFatigueLinear mixed-effects regression modelLongitudinalMyotonic dystrophyProspective

Identifiers

PMID31673761
OpenAlexW2982931077

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.