Evidence map›Paper›PMID 41322303›Full record

ReviewFrontiers in pharmacology2025

Myasthenia gravis and community-acquired pneumonia: therapeutic challenges.

Xueying Chen, Jianbo Ding, Jiali Zhang, Haibin Dai, Lingyan Yu

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Xueying ChenDepartment of Pharmacy, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jianbo DingDepartment of Emergency Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jiali ZhangDepartment of Pharmacy, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Haibin DaiDepartment of Pharmacy, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Lingyan YuDepartment of Pharmacy, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myasthenia gravis (MG) patients are highly susceptible to community-acquired pneumonia (CAP) due to the need for immunosuppressive therapies and aspiration risks, with CAP representing the leading infectious cause of mortality in this population. The intersection of MG and CAP poses unique challenges for the management of anti-infective agents and immunosuppressants. There is currently no systematic literature review addressing these issues, as previous reviews have been limited to one of these aspects. This review synthesizes evidence on the pharmacotherapeutic challenges associated with MG-CAP comorbidity, focusing on three key areas: avoiding antibiotics that exacerbate neuromuscular junction symptoms, minimizing drug interactions, and managing infection-adjusted immunosuppressants. Through a comprehensive synthesis of literature, we provide recommendations for optimizing antibiotic selection and immunosuppressants while tailoring immunosuppressive strategies according to CAP severity grading. This facilitates optimal management of both MG and infection control, highlighting the need for dynamic, patient-centered approaches. This clinical decision-making tool serves as a practical reference for physicians in the absence of established guidelines or expert consensus for managing this complex patient population.

Indexed as

community-acquired pneumoniadrug‒drug interactionsimmunocompromisedmyasthenia gravisneuromuscular junction disorderspneumonia

Identifiers

PMID41322303
PMCPMC12657373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.