Evidence map›Paper›PMID 26382217›Full record

Trial reportBMC musculoskeletal disorders2015

Biologic predictors of clinical improvement in rituximab-treated refractory myositis.

Ann M Reed, Cynthia S Crowson, Molly Hein, Consuelo Lopez de Padilla, Jeannette M Olazagasti, Rohit Aggarwal, Dana P Ascherman, Marc C Levesque, Chester V Oddis, RIM Study Group

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
3.1field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Recent research on myositis-specific autoantibodies in juvenile dermatomyositis.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
    Review
  13. Dermatomyositis autoantibodies: how can we maximize utility?Annals of translational medicine · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Autoimmune Myopathies: Updates on Evaluation and Treatment.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2018
    Review
  20. 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

10 authors at 5 institutions in 1 country.

Ann M ReedDivision of Pediatric Rheumatology, Department of Pediatrics, Duke University School of Medicine, 201 Trent Drive, Durham, NC, 27710, USA. ann.reed@duke.edu.
Cynthia S CrowsonDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA. crowson@mayo.edu.
Molly HeinDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA. hein.molly@mayo.edu.
Consuelo Lopez de PadillaDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA. lopezdepadilla.consuelo@mayo.edu.
Jeannette M OlazagastiDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA. olazagastilourido.jeannette@mayo.edu.
Rohit AggarwalDivision of Rheumatology, University of Pittsburgh, Pittsburgh, PA, USA. aggarwalr@upmc.edu.
Dana P AschermanDivision of Rheumatology, University of Miami Miller School of Medicine, Miami, FL, USA. DAscherman@med.miami.edu.
Marc C LevesqueDivision of Rheumatology, University of Pittsburgh, Pittsburgh, PA, USA. marclevesque01581@gmail.com.
Chester V OddisDivision of Rheumatology, University of Pittsburgh, Pittsburgh, PA, USA. cvo5@pitt.edu.
RIM Study Group
Duke University · USMayo Clinic · USMayo Clinic in Arizona · USUniversity of Miami · USUniversity of Pittsburgh · US

Funding

Penn Dermatology Research Training ProgramT32AR007465 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice, David Joel Margolis · 1986 to 2026
$9.0M
Mechanisms of Response and Relapse in Rituximab-treated Myositis PatientsR01AR061298 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEVESQUE, MARC C., ODDIS, CHESTER V · 2010 to 2013
$1.2M
NIAMS NIH HHS AR61298-03NIAMS NIH HHS N01-AR-4-2273NIAMS NIH HHS R01 AR061298NIAMS NIH HHS T32 AR007465
6 · The paper itself

Abstract

backgroundTo examine the longitudinal utility of a biomarker signature in conjunction with myositis autoantibodies (autoAbs) as predictors of disease improvement in refractory myositis patients treated with rituximab.

methodsIn the RIM Trial, all subjects received rituximab on 2 consecutive weeks. Using start of treatment as baseline, serum samples (n = 177) were analyzed at baseline and after rituximab with multiplexed sandwich immunoassays to quantify type-1 IFN-regulated and other pro-inflammatory chemokines and cytokines. Biomarker scores were generated for the following pathways: type-1 IFN-inducible (IFNCK), innate, Th1, Th2, Th17 and regulatory cytokines. Myositis autoAbs (anti-synthetase n = 28, TIF-γ n = 19, Mi-2 n = 25, SRP n = 21, MJ n = 18, non-MAA n = 24, unidentified autoantibody n = 9, and no autoantibodies n = 33) determined by immunoprecipitation at baseline, were correlated with outcome measures. Kruskal-Wallis rank sum tests were used for comparisons.

resultsThe mean (SD) values for muscle disease and physician global disease activity VAS scores (0-100 mm) were 46 (22) and 49 (19). IFNCK scores (median values) were higher at baseline in subjects with anti-synthetase (43), TIF1-γ (31) and Mi-2 (30) compared with other autoAb groups (p < 0.001). At 16 weeks after rituximab, anti-synthetase and Mi-2 autoAb positive subjects and non-MAA had a greater improvement in IFNCK scores (- 6.7, - 6.1 and -7.2, p < .001). Both IFNCK high scores (>30) and autoAb group (Mi-2, non-MAA, and undefined autoantibody) demonstrated the greatest clinical improvement based on muscle VAS (muscle-interaction p = 0.075).

conclusionBiomarker signatures in conjunction with autoAbs help predict response to rituximab in refractory myositis. Biomarker and clinical responses are greatest at 16 weeks after rituximab.

Indexed as

Anti-Inflammatory AgentsAutoantibodiesBiomarkersChemokinesCytokinesDermatomyositisDouble-Blind MethodHumansPolymyositisRemission InductionRituximabSeverity of Illness IndexTime FactorsT-Lymphocytes, Helper-InducerTreatment OutcomeAnti-Inflammatory AgentsAutoantibodiesBiomarkersChemokinesCytokinesRituximab

Identifiers

PMID26382217
PMCPMC4574570
OpenAlexW1855271605

What OpenQuestion holds

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LicenceCC BY
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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.