Evidence map›Paper›PMID 25547622›Full record

ArticleRheumatology international2015

Polymyositis, a very uncommon isolated disease: clinical and histological re-evaluation after long-term follow-up.

Veronica Silva Vilela, Sergio Prieto-González, José C Milisenda, Albert Selva-O Callaghan, Josep M Grau

Abstract read
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Article in Rheumatology international, 2015. 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
1.7field-weighted citation impact, top 16% 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, 43 citations in OpenAlex.

  1. Article
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  3. The Mythology of Polymyositis.Rheumatic diseases clinics of North America · 2025
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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 3 institutions in 2 countries.

Veronica Silva VilelaHospital Universitário Pedro Ernesto, State University of Rio de Janeiro, Boulevard. 28 de Setembro 77, Rheumatology discipline, Rio de Janeiro, 20551-031, Brazil, veronicavilelavs@yahoo.com.br.
Sergio Prieto-González
José C Milisenda
Albert Selva-O Callaghan
Josep M Grau
Universitat de Barcelona · ESHospital Universitário Pedro Ernesto · BRVall d'Hebron Hospital Universitari · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to explore whether polymyositis may be considered as an isolated, organ-specific disease or more suitably as a secondary or associated entity. A retrospective re-evaluation of all the muscle biopsies performed at the Hospital Clínic of Barcelona showing histopathological pattern of polymyositis from January 1997 to May 2012 was carried out. The medical records of the patients with the aforementioned pathological pattern were also reviewed. From 1.290 muscle biopsies performed during the period evaluated, 36 with polymyositis pattern were identified. At the time of muscle biopsy, polymyositis pattern was secondary or associated with other disease in 26 patients and was classified as isolated in the remaining ten patients. After pathological re-evaluation and long-term clinical follow-up, only one patient remained with this diagnosis. Overall, the main final diagnosis related to the initial polymyositis pattern was inflammatory myopathy associated with connective tissue disease. Several other associated conditions were also identified. Isolated polymyositis is highly uncommon. Ruling out potential associated or confusing entities, like inclusion body myositis, overlap syndromes, infections, and cancer, is mandatory.

Indexed as

AdultAgedAutoimmune DiseasesCohort StudiesConnective Tissue DiseasesDatabases, FactualDiagnosis, DifferentialDisease ProgressionDrug-Related Side Effects and Adverse ReactionsFemaleFollow-Up StudiesHumansMaleMiddle AgedMuscle, SkeletalMyositis

Identifiers

PMID25547622
OpenAlexW2160343317

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.