Evidence map›Paper›PMID 31473845›Full record

ReviewCurrent rheumatology reports2019

Recent Advances in Pharmacological Treatments of Adult Dermatomyositis.

Kristen L Chen, Majid Zeidi, Victoria P Werth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. 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

3 authors at 2 institutions in 1 country.

Kristen L ChenCorporal Michael J. Crescenz VAMC, Philadelphia, PA, USA.
Majid ZeidiCorporal Michael J. Crescenz VAMC, Philadelphia, PA, USA.
Victoria P WerthCorporal Michael J. Crescenz VAMC, Philadelphia, PA, USA. werth@pennmedicine.upenn.edu.
Philadelphia VA Medical Center · USUniversity of Pennsylvania · US

Funding

Optimization of Clinical Trial Design in Cutaneous LupusR01AR071653 · NIAMS · UT SOUTHWESTERN MEDICAL CENTER · PI CHONG, BENJAMIN FRANKLIN, WERTH, VICTORIA P · 2018 to 2020
$653k
NIAMS NIH HHS R01 AR071653
6 · The paper itself

Abstract

purpose of the reviewDermatomyositis (DM) is an uncommon autoimmune disease that primarily affects the skin, muscle, and/or lungs, and remains a therapeutic challenge. We discuss recent studies evaluating efficacy of conventional treatments for clinically amyopathic DM (CADM), DM-associated interstitial lung (ILD) disease, and classic DM (CDM). We highlight several emerging new therapies with a focus on clinical trials, systematic reviews, and case series in the last 5 years. RECENT

findingsRecent studies report a significant number of patients remain refractory to antimalarials and require second- and third-line agents. Effective treatment for DM-associated ILD can vary based on patient specific antibodies. CDM requires oral glucocorticoids; recent studies have evaluated the benefits of adjunctive therapies including methotrexate and calcineurin inhibitors. New therapies target cell populations or cytokines thought to drive disease pathogenesis. Dermatomyositis is an autoimmune disease that remains challenging to treat. Many patients are refractory to conventional therapies, warranting the development and evaluation of new treatments.

Indexed as

DermatomyositisGlucocorticoidsHumansImmunosuppressive AgentsMethotrexateTreatment OutcomeGlucocorticoidsImmunosuppressive AgentsMethotrexateClassic dermatomyositisClinically amyopathic dermatomyositisInterstitial lung diseaseTherapeuticsTreatment algorithms

Identifiers

PMID31473845
OpenAlexW2970559424

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.