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Record W4413270783 · doi:10.1016/j.jacadv.2025.102050

IL-1 Pathway Inhibition in Recurrent Pericarditis Management

2025· article· en· W4413270783 on OpenAlexaff
Paul Cremer, Sushil Allen Luis, Michael Garshick, Ajit Raisinghani, Brittany Weber, Dona Winnowski, JoAnn Clair, Vidhya Parameswaran, Allison Curtis, Allan Klein, John F. Paolini

Bibliographic record

VenueJACC Advances · 2025
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsCanadian Arthritis Patient Alliance
Fundersnot available
KeywordsPericarditisCorticosteroidMedicineResonance (particle physics)Internal medicinePhysics

Abstract

fetched live from OpenAlex

BACKGROUND: Recurrent pericarditis (RP) guidelines recommend second-line corticosteroids after aspirin/nonsteroidal anti-inflammatory drugs/colchicine, but complications of protracted use underscore the importance of corticosteroid-sparing strategies. OBJECTIVES: Given clinical trial evidence supporting interleukin (IL)-1 pathway inhibition and US Food and Drug Administration approval of rilonacept in RP, the objective was to assess temporal trends in corticosteroid-sparing treatment of RP in a multicenter registry. METHODS: RESONANCE (REgiStry Of the NAtural history of recurreNt periCarditis in pEdiatric and adult patients; NCT04687358) combines retrospective and prospective data from clinical practice into a single observation period. Patients receiving treatment for idiopathic and postprocedural RP were included. Demographics and treatment intensifications were quantified. RESULTS: Of 313 patients with aspirin/nonsteroidal anti-inflammatory drugs/colchicine treatment (median disease duration 1.9 years; 1 preenrollment recurrence), 44% (n = 138) intensified treatment. Before rilonacept approval in RP, 71% (n = 10) of patients intensified to corticosteroids for second-line therapy, and 29% (n = 4) intensified to IL-1 pathway inhibition. After rilonacept approval, the proportion of patients intensifying to second-line IL-1 pathway inhibition increased to 64% by 2023 (n = 27; rilonacept: 57%, anakinra: 7%), whereas the proportion of patients intensifying to corticosteroids decreased to 33% (n = 14), P = 0.02. Approximately 59% (n = 35) of second-line corticosteroid initiators later transitioned to IL-1 pathway inhibition. In patients starting second-line IL-1 pathway inhibition, 5% (n = 3, rilonacept) and 25% (n = 4, anakinra) subsequently used corticosteroids for >30 days. CONCLUSIONS: In RESONANCE, IL-1 pathway inhibition increasingly replaced corticosteroids as second-line therapy. Most patients starting corticosteroids transitioned to IL-1 pathway inhibition; few transitioned from second-line IL-1 pathway inhibition to long-term corticosteroids. These findings may inform treatment algorithms and patient-provider decision-making.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.274
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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