Evidence map›Paper›PMID 29780824›Full record

ArticleBioMed research international2018

Clinical, Histological, and Immunohistochemical Findings in Inclusion Body Myositis.

Leonardo Valente de Camargo, Mary Souza de Carvalho, Samuel Katsuyuki Shinjo, Acary Souza Bulle de Oliveira, Edmar Zanoteli

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Current biomarkers in inclusion body myositis.Journal of neuromuscular diseases · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Inflammatory myopathies: an update for neurologists.Arquivos de neuro-psiquiatria · 2022
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Clinical and molecular findings in a cohort of ANO5-related myopathy.Annals of clinical and translational neurology · 2019
    Article
  15. Review
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

5 authors at 2 institutions in 1 country.

Leonardo Valente de CamargoDepartamento de Neurologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Mary Souza de CarvalhoDepartamento de Neurologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Samuel Katsuyuki ShinjoDisciplina de Reumatologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Acary Souza Bulle de OliveiraSetor de Doenças Neuromusculares, Disciplina de Neurologia, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Edmar ZanoteliDepartamento de Neurologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.ORCID 0000-0002-4991-6760
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sporadic inclusion body myositis (sIBM) is considered the most common acquired myopathy aged over 50 years. The disease is characterized by a particular process of muscle degeneration characterized by abnormal deposit of protein aggregates in association with inflammation. The aim of this study was to present clinical and muscle histopathological findings, including immunostaining for LC3B, p62,

Indexed as

AutophagyAdultAgedBiomarkersBiopsyFemaleHumansInflammationMaleMiddle AgedMuscle, SkeletalMyositisMyositis, Inclusion BodyVacuolesBiomarkers

Identifiers

PMID29780824
PMCPMC5893008
OpenAlexW2787407767

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.