Evidence map›Paper›PMID 34993745›Full record

ReviewCurrent cardiology reports2022

Rilonacept (Interleukin-1 Inhibition) for the Treatment of Pericarditis.

Tom Kai Ming Wang, Allan L Klein

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Current cardiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Neutrophil diversity and function in health and disease.Signal transduction and targeted therapy · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Tom Kai Ming WangCenter for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Allan L KleinCenter for the Diagnosis and Treatment of Pericardial Diseases, Section of Cardiovascular Imaging, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA. kleina@ccf.org.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWe reviewed the contemporary literature and clinical trials to discuss the applications of the interleukin-1 (IL-1) inhibitor rilonacept to treat pericarditis, with regards to pathophysiology, pharmacology, efficacy, and safety. RECENT

findingsRilonacept is an emerging novel agent for treating recurrent pericarditis, with phase II and III clinical trials recently published. Rilonacept rapidly resolved pericarditis pain and inflammation, markedly reduced recurrent pericarditis episodes, and had few adverse events indicating a high safety profile. Recurrent pericarditis is associated with significant morbidity and unmet need for novel therapies. Inflammasomes and the IL-1 pathways were found to be critical in its pathophysiology, leading to IL-1 inhibitors being developed. The high efficacy and safety of rilonacept for recurrent pericarditis means it could potentially be considered as a second-line therapy ahead of or as an alternative to corticosteroids, and highlight the great promise of targeted immunomodulatory therapy in this field.

Indexed as

Interleukin-1PericarditisHumansInflammasomesRecombinant Fusion ProteinsRecurrenceInflammasomesInterleukin-1Recombinant Fusion ProteinsrilonaceptInflammationInterleukin-1 inhibitorPericarditisRecurrent pericarditisRilonacept

Identifiers

PMID34993745
PMCPMC8735734
OpenAlexW4205914252

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.