Evidence map›Paper›PMID 29651121›Full record

ReviewNature reviews. Rheumatology2018

Classification of myositis.

Ingrid E Lundberg, Marianne de Visser, Victoria P Werth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
19.6field-weighted citation impact, top 1% 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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it, 304 citations in OpenAlex.

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79 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 3 countries.

Ingrid E LundbergDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden.
Marianne de VisserDepartment of Neurology, Academic Medical Center, Amsterdam, Netherlands.
Victoria P WerthDepartment of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Academic Medical Center · NLKarolinska Institutet · SEUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The idiopathic inflammatory myopathies (IIMs; also known as myositis) are a heterogeneous group of disorders in which a common feature is chronic inflammation of skeletal muscle, leading to muscle weakness. Other organs are frequently affected in IIMs, such as the skin, joints, lungs, gastrointestinal tract and heart, contributing to morbidity and mortality. Currently, IIMs are most often subclassified into polymyositis, dermatomyositis and inclusion body myositis, but this subclassification has limitations as these subgroups often have overlapping clinical and histopathological features, and outcomes vary within the subgroups; additionally, subgroups without considerable myopathy are not included. A new way of subgrouping patients could be on the basis of the presence of myositis-specific autoantibodies. These autoantibodies are associated with distinct clinical features and, moreover, can help to identify subsets of IIMs in which extramuscular symptoms, such as skin manifestations, arthritis or interstitial lung disease, might be the presenting or predominant feature when muscle symptoms are mild or absent. The recognition that subphenotypes with single-organ involvement other than muscles exist is important for identifying patients with early disease, for clinical care demanding team management and in designing clinical studies to improve our understanding of this heterogeneous disease to develop new therapies.

Indexed as

AutoantibodiesComorbidityHumansLungMyositisPhenotypeSkinAutoantibodies

Identifiers

PMID29651121
OpenAlexW2796837232

What OpenQuestion holds

Textmetadata
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.