Evidence map›Paper›PMID 41890222›Full record

ArticleIBRO neuroscience reports2026

Patterns of motor nerve demyelination and their prognostic significance in multifocal motor neuropathy.

Andreas Posa, Alexander Emmer, Tobias Biefel, Malte Erich Kornhuber

Abstract read
In one paragraph

Article in IBRO neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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

4 authors.

Andreas PosaUniversity Clinic and Outpatient Clinic for Radiology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Alexander EmmerNeurological Clinic, AKH Hospital Celle, Celle, Germany.
Tobias BiefelUniversity Clinic and Outpatient Clinic for Neurology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Malte Erich KornhuberUniversity Clinic and Outpatient Clinic for Neurology, Martin Luther University Halle-Wittenberg, Halle, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multifocal motor neuropathy (MMN) is a rare immune-mediated neuropathy characterized by motor nerve involvement and, typically, a good response to intravenous immunoglobulin (IVIg). However, a subgroup of patients shows poor or absent treatment response and a more rapid disease course. We aim to characterize clinical, laboratory, and electrophysiological features associated with IVIg response in MMN over a follow-up period of up to 20 years. Methods: Thirteen patients fulfilling diagnostic criteria for definite MMN were retrospectively analyzed. Detailed clinical data, comorbidities, IVIg treatment regimens, and serial nerve conduction studies (NCS) were evaluated. Particular attention was given to the extent and distribution of conduction block (CB) and temporal dispersion (TD). IVIg response was defined as ≥ 1-point improvement in MRC strength in at least two muscle groups within 4 weeks after infusion or equivalent functional improvement documented in medical records. Results: Four of 13 patients (31%) showed poor or absent IVIg response. These patients exhibited a higher number of clinically and electrophysiologically affected motor nerves at disease onset (median 6 vs. 3, p = 0.014) and more nerves with TD (median 2.5 vs. 1, p = 0.025), compared to IVIg responders. CB alone did not reliably distinguish responders from non-responders (median 1 vs. 1, p = 0.74). Anti-GM1 IgM antibodies were detected in 44% of the patients tested, of whom 75% were non-responders. Comorbidities (e.g., diabetes II, malignancy, autoimmune disease) were more frequent among non-responders. Conclusions: A pattern of early nerve involvement with prominent TD appears to be associated with a more aggressive disease course and poorer IVIg response. Diagnostic evaluation in MMN should not focus solely on focal CB but also systematically assess the number of nerves with TD. Prospective studies with standardized protocols are needed to validate these findings.

Indexed as

Conduction Block (CB)Intravenous Immunoglobulin (IVIg)Multifocal Motor Neuropathy (MMN)Nerve Conduction Studies (NCS)Temporal Dispersion (TD)

Identifiers

PMID41890222
PMCPMC13014904

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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.