Evidence map›Paper›PMID 42166045›Full record

ReviewWiener medizinische Wochenschrift (1946)2026

Comprehensive review on myasthenia gravis: patho-physiology, diagnosis, management strategies.

Ifeoma Nneozor Ozor, Anes Abdulmajid Hwidi, Ammar Ali Khan, Jerrin Jolly Kuriakose, Fatima Hajj, Mary Iwuagwu, Vidhi Kashyap Trivedi, Mostafa Hassan Mohammed Elsayed Hamed, Long Yin Cai

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In one paragraph

Review in Wiener medizinische Wochenschrift (1946), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ifeoma Nneozor OzorFaculty of Medicine Nis, University of Nis, Nis, Serbia.
Anes Abdulmajid HwidiFaculty of Medicine, Maltepe University, Bağlarbaşı, Feyzullah Cd. No:39, 34844, Maltepe, Istanbul, Turkey. a_a_hwidi@hotmail.com.
Ammar Ali KhanMedway Maritime Hospital NHS Trust, Gillingham, UK.
Jerrin Jolly KuriakoseMedical University of Varna, Varna, Bulgaria.
Fatima HajjFaculty of Medicine, Lebanese University, Beruit, Lebanon.
Mary IwuagwuAll Saints University School of Medicine, Roseau, Dominica.
Vidhi Kashyap TrivediCollege of Medicine, Dr. Fransisco Q. Duque Medical Foundation, Dagupan City, Philippines.
Mostafa Hassan Mohammed Elsayed HamedMB Bch Faculty of Medicine Benha University, Banha, Egypt.
Long Yin CaiCaribbean Medical University, Willemstad, Curacao, Curaçao.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myasthenia gravis (MG) is a heterogeneous autoimmune neuromuscular disorder with distinct serological subtypes, including antibodies against acetylcholine receptors (AChRs), MuSK, and LRP4. Despite increasing recognition of these subtypes, clinical practice still lacks a standardized, subtype-specific approach to diagnosis, characterization, and management. Current treatment strategies are often applied uniformly, without fully accounting for differences in disease phenotype, prognosis, and therapeutic response among antibody-defined groups. This review provides a comprehensive overview of adult MG, focusing on the various autoantibody subtypes and their implications for pathogenesis, clinical features, diagnosis, and management. We highlight how combining serological findings with clinical subtyping can inform a more personalized approach to therapy and better align treatment decisions with disease biology. By emphasizing the clinical relevance of serological classification, this review aims to bridge the gap between immunopathological understanding and individualized patient care in MG.

Indexed as

Acetylcholine receptor antibodiesAutoantibodiesLRP4 antibodiesMuSK antibodiesNeuromuscular junction

Identifiers

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Registered trials

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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.