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  • ACR Meetings

ACR Convergence 2023

November 10-15, 2023. San Diego, CA.

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  • Abstract Number: 1464
    Lupus Flares More Common in Patients on Dialysis Compared to After Renal Transplant: A Systematic Review and Meta-analysis
  • Abstract Number: 1501
    Lupus Low Disease Activity State (LLDAS) Achievement with Deucravacitinib, an Oral, Selective, Allosteric Tyrosine Kinase 2 Inhibitor, in a Phase 2 Trial in SLE
  • Abstract Number: 2275
    Lupus Low Disease Activity State Ameliorates the Poor Prognosis in Lupus Nephritis Patients with anti-Sm Autoantibody
  • Abstract Number: 2274
    Lupus Low Disease Activity State as an Attainable Target in Lupus Nephritis Associated with Reduced Risk of Relapse
  • Abstract Number: 0851
    Lupus Nephritis Flares Linked to Platelet Activation During Gut Pathobiont Blooms
  • Abstract Number: 2017
    Lupus Nephritis Is Strongly Associated with Low Bone Mineral Density and Osteoporosis in Patients with Systemic Lupus Erythematosus
  • Abstract Number: 0593
    Lupus Nephritis of the Spanish National Registry of Belimumab in Patients with Systemic Lupus Erythematosus
  • Abstract Number: 2456
    Lupus Patient Navigator Program to Improve Healthcare Barriers for Minority Patients
  • Abstract Number: 1652
    Lupus Research Action Network: Increasing Minority Clinical Trial Participation Through Peer Leaders
  • Abstract Number: PP03
    Lupus with Slime: Improve QOL and Increase ROM in SLE with Slime
  • Abstract Number: 0255
    Lymphoid Mass in the Inferior Turbinate with IgG4 Producing Cells: A Nasal Manifestation of IgG4-RD or a Distinct Chronic Inflammatory Disease?
  • Abstract Number: 2189
    Lymphopenia Fluctuation Patterns Determine the Trajectory of the Disease in Sjogren’s Patients with Hematological Involvement
  • Abstract Number: 1180
    Machine Learning Approach for the Prediction of anti-MDA5 Positive Dermatomyositis Mortality
  • Abstract Number: 2310
    Machine Learning Approaches for Prediction of Renal Flares in Systemic Lupus Erythematosus: Knowledge-Driven Models Outperformed Data-Driven Models
  • Abstract Number: 0833
    Machine Learning Detected Healthcare Encounter Patterns Leading to Diagnosis of Juvenile Arthritis in a Population-Based Canadian Cohort
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All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

Accepted abstracts are made available to the public online in advance of the meeting and are published in a special online supplement of our scientific journal, Arthritis & Rheumatology. Information contained in those abstracts may not be released until the abstracts appear online. In an exception to the media embargo, academic institutions, private organizations, and companies with products whose value may be influenced by information contained in an abstract may issue a press release to coincide with the availability of an ACR abstract on the ACR website. However, the ACR continues to require that information that goes beyond that contained in the abstract (e.g., discussion of the abstract done as part of editorial news coverage) is under media embargo until 10:00 AM ET on November 14, 2024. Journalists with access to embargoed information cannot release articles or editorial news coverage before this time. Editorial news coverage is considered original articles/videos developed by employed journalists to report facts, commentary, and subject matter expert quotes in a narrative form using a variety of sources (e.g., research, announcements, press releases, events, etc.).

Violation of this policy may result in the abstract being withdrawn from the meeting and other measures deemed appropriate. Authors are responsible for notifying colleagues, institutions, communications firms, and all other stakeholders related to the development or promotion of the abstract about this policy. If you have questions about the ACR abstract embargo policy, please contact ACR abstracts staff at [email protected].

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