Evidence map›Paper›PMID 41049242›Full record

ArticleClinical case reports2025

A Comprehensive Approach to Myasthenia Gravis With Thymoma: A Case Report Highlighting Management of Myasthenic Crisis and Post-Crisis Care.

Sakib Abrar, Shah Tanvir Ahmed, Ibrahim Khalil, Md Imran Hossain

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Article in Clinical case reports, 2025. 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
–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

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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.

  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

4 authors.

Sakib AbrarDhaka Medical College and Hospital Dhaka Bangladesh.ORCID https://orcid.org/0009-0005-7338-4329
Shah Tanvir AhmedDhaka Medical College and Hospital Dhaka Bangladesh.ORCID https://orcid.org/0009-0005-8582-5814
Ibrahim KhalilDhaka Medical College and Hospital Dhaka Bangladesh.ORCID https://orcid.org/0009-0002-8995-1058
Md Imran HossainManikganj Medical College and Hospital Manikganj Bangladesh.ORCID https://orcid.org/0009-0000-3949-9388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myasthenia gravis (MG) is a chronic autoimmune neuromuscular disorder that leads to muscle weakness and rapid fatigue, often exacerbated by thymoma, a tumor of the thymus gland. This case report presents the clinical management of a 40-year-old female with MG complicated by thymoma, who presented with a severe myasthenic crisis. The patient required intensive care, including respiratory support, plasmapheresis, and immunosuppressive therapy. Initial evaluations confirmed the diagnosis of MG through the detection of high levels of anti-acetylcholine receptor antibodies, and a CT scan revealed a thymic mass, indicative of thymoma. The management strategy included acetylcholinesterase inhibitors, immunosuppressive agents, and supportive therapies to stabilize the patient. The patient responded positively to plasmapheresis, which significantly improved her condition. Follow-up CT imaging confirmed the presence of thymoma, reinforcing the need for further investigation into surgical interventions such as thymectomy. The report also emphasizes the critical role of a multidisciplinary approach in managing MG with thymoma, underscoring the importance of early diagnosis and timely intervention to prevent recurrent crises. Additionally, it discusses the evolving role of thymectomy in MG patients with thymoma and the potential of newer treatments, such as complement inhibitors, for refractory cases. This case highlights the complexities of managing MG complicated by thymoma and stresses the importance of ongoing research into therapeutic strategies. Early diagnosis, effective management, and continuous monitoring remain essential to optimizing outcomes for patients with these complex conditions.

Indexed as

immunosuppressive therapymyasthenia gravismyasthenic crisisplasmapheresisthymoma

Identifiers

PMID41049242
PMCPMC12489546

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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.