Evidence map›Paper›PMID 33224518›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Brainstem lesions are associated with sleep apnea in multiple sclerosis.

Elle Levit, Andrew Bouley, Ursela Baber, Ina Djonlagic, Jacob A Sloane

Open access · goldAbstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 42% 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

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

  1. Pooled it
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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

5 authors at 2 institutions in 1 country.

Elle LevitDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, USA.
Andrew BouleyDepartment of Neurology, UMass Medical School, Worcester, USA.
Ursela Baber
Ina Djonlagic
Jacob A SloaneDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, USA.ORCID https://orcid.org/0000-0003-0028-3031
Beth Israel Deaconess Medical Center · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies linking MRI findings in MS patients with obstructive sleep apnea severity are limited.

objectiveWe conducted a retrospective study to assess MRI abnormalities associated with obstructive sleep apnea (OSA) in patients with multiple sclerosis (MS).

methodsWe performed retrospective chart review of 65 patients with multiple sclerosis who had undergone polysomnography (PSG) for fatigue as well as brain MRI. We measured the number of lesions in the brainstem and calculated the standardized third ventricular width (sTVW) as a measure of brain atrophy, and subsequently performed correlation analyses of the apnea-hypopnea index (AHI) with brainstem lesion location, sTVW, and Expanded Disability Status Scale (EDSS).

resultsMS Patients with OSA were significantly older and had a higher body mass index (BMI) and higher AHI measures than patients without OSA. After adjustment for covariates, significant associations were found between AHI and lesion burden in the midbrain (p < 0.01) and pons (p = 0.05), but not medulla.

conclusionsMidbrain and pontine lesions burden correlated with AHI, suggesting MS lesion location could contribute to development of OSA.

Indexed as

apnea hypopnea indexatrophybrainstemmultiple sclerosisSleep apnea

Identifiers

PMID33224518
PMCPMC7649856
OpenAlexW3097735549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.