Evidence map›Paper›PMID 38223947›Full record

ArticleRevista de neurologia2024

Association between myasthenia gravis and Alzheimer's disease.

M I Morales-Casado, A M Diezma-Martín, F Muñoz-Escudero, S Ronsenstone-Calvo, B Mondéjar-Marín, A Vadillo-Bermejo, C Marsal-Alonso, P Beneyto-Martín

Open access · greenAbstract read
In one paragraph

Article in Revista de neurologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

M I Morales-CasadoHospital Universitario de Toledo, Toledo, España.
A M Diezma-MartínHospital Universitario de Toledo, Toledo, España.
F Muñoz-EscuderoHospital Universitario de Toledo, Toledo, España.
S Ronsenstone-CalvoHospital Universitario de Toledo, Toledo, España.
B Mondéjar-MarínHospital Universitario de Toledo, Toledo, España.
A Vadillo-BermejoHospital Universitario de Toledo, Toledo, España.
C Marsal-AlonsoHospital Universitario de Toledo, Toledo, España.
P Beneyto-MartínHospital Universitario de Toledo, Toledo, España.
Complejo Hospitalario Universitario de Toledo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMyasthenia gravis (MG) and Alzheimer's disease (AD) are two of the most important diseases where the dysregulation of acetylcholine activity plays a crucial role. In the first, this dysregulation happens at the level of the neu-romuscular junction and in the second, in the central nervous system (CNS).

aimTo analyze the possible relationship between these two pathologies, analyzing the prevalence and the odds ratio of AD within patients previously diagnosed with MG. We will compare these data with respect to the prevalence of AD in the general population. PATIENTS AND

methodsWe examined the data obtained by the electronic medical records of patients in the health care system of Castilla La Mancha using the Natural Language Process provided by a clinical platform of artificial intelligence known as the Savana Manager?.

resultsWe identified 970,503 patients over the age of 60 years, of which 1,028 were diagnosed with MG. The proportion of the patients diagnosed with AD within this group (4.28%) was greater than the rest of the population (2.82%) (p = 0,0047) with an odds ratio of 1.54 (confidence interval at 95% 1.13-2.08; p = 0.0051) without finding significant differences in the bivariate analysis for the rest of the most important actual known risk factors for AD.

conclusionOur results suggest that there might be an increase in the prevalence of AD in patients previously diagnosed with MG.

Indexed as

Alzheimer DiseaseMyasthenia GravisAcetylcholineArtificial IntelligenceHumansMiddle AgedRisk FactorsAcetylcholine

Identifiers

PMID38223947
PMCPMC11064958
OpenAlexW4390886596

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.