Evidence map›Paper›PMID 39047208›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2024

Relapsing-Remitting Immunotherapy Responsive Small-Fiber Neuropathy: Longitudinal Tracking Through 10 Years Including Pregnancies.

Anne Louise Oaklander, Julia Allen, Nadja Dietliker, Einar P Wilder-Smith

Abstract readCase Reports
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Anne Louise OaklanderFrom the Department of Neurology (A.L.O.), Massachusetts General Hospital and Harvard Medical School; Department of Pathology (Neuropathology) (A.L.O.), Massachusetts General Hospital; Harvard T.H. Chan School of Public Health & Harvard Medical School (J.A.), Boston; Department of Medical Oncology and Hematology (N.D.), University Hospital Zurich; Department of Neurology (E.P.W.-S.), University of Bern; and Department Neruology (Neurozentrum) (E.P.W.-S.), Luzerner Kantonsspital, Switzerland.ORCID 0000-0002-9578-1596
Julia AllenFrom the Department of Neurology (A.L.O.), Massachusetts General Hospital and Harvard Medical School; Department of Pathology (Neuropathology) (A.L.O.), Massachusetts General Hospital; Harvard T.H. Chan School of Public Health & Harvard Medical School (J.A.), Boston; Department of Medical Oncology and Hematology (N.D.), University Hospital Zurich; Department of Neurology (E.P.W.-S.), University of Bern; and Department Neruology (Neurozentrum) (E.P.W.-S.), Luzerner Kantonsspital, Switzerland.
Nadja DietlikerFrom the Department of Neurology (A.L.O.), Massachusetts General Hospital and Harvard Medical School; Department of Pathology (Neuropathology) (A.L.O.), Massachusetts General Hospital; Harvard T.H. Chan School of Public Health & Harvard Medical School (J.A.), Boston; Department of Medical Oncology and Hematology (N.D.), University Hospital Zurich; Department of Neurology (E.P.W.-S.), University of Bern; and Department Neruology (Neurozentrum) (E.P.W.-S.), Luzerner Kantonsspital, Switzerland.
Einar P Wilder-SmithFrom the Department of Neurology (A.L.O.), Massachusetts General Hospital and Harvard Medical School; Department of Pathology (Neuropathology) (A.L.O.), Massachusetts General Hospital; Harvard T.H. Chan School of Public Health & Harvard Medical School (J.A.), Boston; Department of Medical Oncology and Hematology (N.D.), University Hospital Zurich; Department of Neurology (E.P.W.-S.), University of Bern; and Department Neruology (Neurozentrum) (E.P.W.-S.), Luzerner Kantonsspital, Switzerland.ORCID 0000-0003-3402-7503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo expand understanding of the pathogenesis, presentations, and treatment of initially idiopathic small fiber polyneuropathy (SFN).

methodsWe longitudinally readministered validated metrics to track disease course and treatment responses in a previously healthy woman with acute, postinfectious, skin biopsy-confirmed, idiopathic SFN.

resultsDuring 5 years, viral respiratory infections triggered 3 separated episodes of acute, disabling burning hand, foot, and face pain (erythromelalgia). The initial 2 resolved with high-dose prednisone, and the third responded to repeated immunoglobulin treatments. Pregnancy with miscarriage triggered a fourth exacerbation refractory to corticosteroids and cyclosporin. Immunoglobulins restored total remission for 2 months; then, 2 rituximab doses slightly improved later flaring. Subsequently, daratumumab initiated 100-day remission later maintained by belimumab, initiated to permit another pregnancy. Remission continued after gestational week 13 all-treatment withdrawal. A week 30 fifth flare responded to plasmapheresis, with healthy birth at week 40. At 11-week postpartum, as symptoms returned, restarting belimumab restored remission maintained during ≥19 months of breastfeeding. DISCUSSION: This decade of tracking characterizes a relapsing-remitting course of SFN with initially separated monophasic episodes becoming more confluent, as with multiple sclerosis. This tempo and responsiveness to 5 immunotherapies suggest dysimmune causality. Validated metrics helped define the course and track treatment efficacy, particularly during pregnancy and breastfeeding. CLASSIFICATION OF EVIDENCE: This is a single observational study without controls. This provides Class IV evidence.

Indexed as

ImmunotherapyPregnancy ComplicationsSmall Fiber NeuropathyAdultFemaleHumansLongitudinal StudiesPregnancy

Identifiers

PMID39047208
PMCPMC11270892

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LicenceCC BY-NC-ND
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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.