Evidence map›Paper›PMID 38793043›Full record

ReviewJournal of personalized medicine2024

Plasma Exchange in Anti-Signal Recognition Particle Myopathy: A Systematic Review and Combined Analysis of Patient Individual Data.

Pablo Martínez-Rodríguez, María Escribano-Iglesias, Ángel-P Crisolino-Pozas, Noelia Cubino-Boveda, Miriam López-Parra, Miguel Marcos, Antonio-J Chamorro

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. 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

7 authors.

Pablo Martínez-RodríguezConnective Tissue Diseases Unit, Department of Internal Medicine, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.
María Escribano-IglesiasDepartment of Radiology, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.
Ángel-P Crisolino-PozasConnective Tissue Diseases Unit, Department of Internal Medicine, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.
Noelia Cubino-BovedaConnective Tissue Diseases Unit, Department of Internal Medicine, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.
Miriam López-ParraDepartment of Hematology, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.ORCID 0000-0002-2949-0627
Miguel MarcosConnective Tissue Diseases Unit, Department of Internal Medicine, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.ORCID 0000-0003-1269-4487
Antonio-J ChamorroConnective Tissue Diseases Unit, Department of Internal Medicine, University Hospital of Salamanca-IBSAL, 37001 Salamanca, Spain.ORCID 0000-0002-2345-2873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-signal recognition particle myopathy (anti-SRP myopathy) is a rare subtype of immune-mediated inflammatory myopathy characterized by muscle weakness and anti-SRP autoantibodies. Although plasma exchange (PE) is used in severe cases, its role remains unclear. A systematic review was conducted following PRISMA guidelines, identifying 23 patients with anti-SRP myopathy treated with PE. Data on demographics, clinical features, laboratory findings, treatments, and outcomes were analyzed combining individual patient data if available. Sixteen (69.6%) patients were male, with muscle weakness as the predominant symptom in 100% of cases. After PE, most patients showed improvement in symptoms, and the proportion of patients with muscle weakness was reduced (

Indexed as

anti-SRP myopathyimmune-mediated inflammatory myopathyplasma exchangeplasmapheresis

Identifiers

PMID38793043
PMCPMC11122241

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.