Evidence map›Paper›PMID 36478587›Full record

ArticleMuscle & nerve2023

Safety and immunogenicity of mRNA COVID-19 vaccine in inpatients with muscular dystrophy.

Tomoko Saito, Toshio Saito, Hiroya Hashimoto, Katsuhisa Ogata, Michio Kobayashi, Hiroto Takada, Satoshi Kuru, Takashi Kimura, Akinori Nakamura, Tsuyoshi Matsumura

Open access · hybridAbstract read
In one paragraph

Article in Muscle & nerve, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Myotonic dystrophy type 1 in the COVID-19 era.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  5. Article
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 at 7 institutions in 1 country.

Tomoko SaitoDepartment of Neurology, National Hospital Organization, Osaka Toneyama Medical Center, Osaka, Japan.ORCID https://orcid.org/0000-0001-5666-4007
Toshio SaitoDivision of Child Neurology, Department of Neurology, National Hospital Organization, Toneyama Medical Center, Osaka, Japan.
Hiroya HashimotoCore Laboratory, Nagoya City University Graduate School of Medical Sciences, Clinical Research Management Center, Nagoya City University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0003-1865-4953
Katsuhisa OgataDepartment of Neurology, National Hospital Organization, Higashisaitama National Hospital, Saitama, Japan.
Michio KobayashiDepartment of Neurology, National Hospital Organization, Akita National Hospital, Akita, Japan.
Hiroto TakadaDepartment of Neurology, National Hospital Organization, Aomori National Hospital, Aomori, Japan.
Satoshi KuruDepartment of Neurology, National Hospital Organization, Suzuka National Hospital, Suzuka, Japan.
Takashi KimuraDepartment of Neurology, National Hospital Organization, Asahikawa Medical Center, Asahikawa, Japan.
Akinori NakamuraDepartment of Clinical Research, National Hospital Organization, Matsumoto Medical Center, Nagano, Japan.
Tsuyoshi MatsumuraDepartment of Neurology, National Hospital Organization, Osaka Toneyama Medical Center, Osaka, Japan.
Toneyama National Hospital · JPNational Hospital Organization · JPAkita University Hospital · JPAomori Rosai Hospital · JPAsahikawa Medical College Hospital · JPNagoya City University · JPNational Institute of Technology, Suzuka College · JP

Funding

Ministry of Health, Labour, and Welfare of Japan 21FC1006
6 · The paper itself

Abstract

INTRODUCTION/

aimsDue to muscular weakness and cardiopulmonary dysfunction, patients with muscular dystrophy (MD) have an increased risk of serious complications from coronavirus disease-2019 (COVID-19). Although vaccination is recommended, COVID-19 vaccination safety and immunogenicity in these patients are unknown. We investigated reaction frequency, post-vaccine antibody titers after two mRNA COVID-19 vaccine doses, and clinical predictors of antibody response among patients with MD.

methodsWe recruited 171 inpatients with MD receiving two BNT162b2 mRNA COVID-19 vaccine doses from seven hospitals. Blood samples were obtained from 53 inpatients before the first dose and 28 to 30 days after the second dose, and antibody titers were measured.

resultsOverall, 104 (60.8%) and 115 (67.6%) patients had side effects after the first and second doses, respectively. These were generally mild and self-limited. Multiple logistic regression analysis showed that a bedridden state was associated with reduced side effects (odds ratio [OR] = 0.29; 95% confidence interval [CI], 0.12 to 0.71). The antibody titers of all participants changed from negative to positive after two vaccine doses. The geometric mean titer (GMT) of the inpatients was 239 (95% CI, 159.3 to 358.7). Older age (relative risk [RR] = 0.97; 95% CI, 0.95 to 0.99) and bedridden state (RR = 0.27; 95% CI, 0.14 to 0.51) were associated with a lower antibody titer. Patients with myotonic dystrophy type 1 (DM1) had a lower GMT than patients with other MDs (RR = 0.42; 95% CI, 0.21 to 0.85). DISCUSSION: COVID-19 vaccination is safe and immunogenic in inpatients with MD. Patients with DM1 appear to have a poorer COVID-19 antibody response than those with other MDs.

Indexed as

COVID-19COVID-19 VaccinesMuscular DystrophiesMyotonic DystrophyBNT162 VaccineHumansInpatientsRNA, MessengerBNT162 VaccineCOVID-19 VaccinesRNA, Messengerambulatory statusCOVID-19 vaccinationmuscular dystrophymyotonic dystrophy type 1serum antibody titers

Identifiers

PMID36478587
PMCPMC9878062
OpenAlexW4311932581

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.