Evidence map›Paper›PMID 42707810›Full record

ArticleCureus2026

Rare Complete Restoration of Intraepidermal Nerve Fibre Density by Immunoglobulins in Post-COVID Vaccination Syndrome-Associated Small Fibre Neuropathy: A Case Report and Literature Review.

Vanessa Schmidt-Krüger, Josef Finsterer

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

2 authors.

Vanessa Schmidt-KrügerMolecular Biology, Inmodia GmbH, Institute for Molecular Diagnostics, Passau, DEU.
Josef FinstererNeurology, Neurology and Neurophysiology Center, Vienna, AUT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report describes the rare complete restoration of reduced intraepidermal nerve fibre density (IENFD) following the administration of intravenous immunoglobulins (IVIG) in a patient with post-acute COVID-19 vaccination syndrome (PACVS) that manifested, among other symptoms, as small-fibre neuropathy (SFN). The patient was a 53-year-old woman who developed SFN in June 2021 following her second BNT162b2 vaccination. Clinically, the SFN presented with symptoms including sensory disturbances, arterial hypotension, and orthostatic tachycardia. After eight cycles of IVIG therapy from June 2024 to February 2025, three years after the onset of PACVS, a significant improvement in the clinical SFN symptoms was observed. Additionally, the IENFD improved from 6 at the ankle and thigh before IVIG therapy to 9 at the ankle and 8 at the thigh after therapy. The skin biopsy in 2026 was unremarkable. The spike protein was detectable in peripheral blood mononuclear cells, as were vaccine plasmid DNA remnants in the skin biopsies before and after IVIG therapy. S100 protein staining was weakly positive before and after IVIG administration. We report the case of a 53-year-old female patient who presented with sensory and autonomic disturbances; following a skin biopsy, she was diagnosed with PACVS-associated SFN. Treatment with IVIG over several months led to an improvement in symptoms and a complete restoration of IENFD. This case highlights the importance of diagnosing PACVS-associated SFN and the beneficial effect of IVIG, which not only improves the clinical manifestations of SFN but also normalises IENFD.

Indexed as

intraepidermal nerve fibre densitypost-acute covid vaccination syndromeskin biopsysmall fibre neuropathyspike protein

Identifiers

PMID42707810
PMCPMC13549707

What OpenQuestion holds

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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.