Evidence map›Paper›PMID 37349636›Full record

ArticleRheumatology and therapy2023

Real-World Sarilumab Use and Rule Testing to Predict Treatment Response in Patients with Rheumatoid Arthritis: Findings from the RISE Registry.

Jeffrey R Curtis, Huifeng Yun, Lang Chen, Stephanie S Ford, Hubert van Hoogstraten, Stefano Fiore, Kerri Ford, Amy Praestgaard, Markus Rehberg, Ernest Choy

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Rheumatology and therapy, 2023. 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Jeffrey R CurtisUniversity of Alabama at Birmingham, Birmingham, AL, 35233, USA. jrcurtis@uabmc.edu.ORCID http://orcid.org/0000-0002-8907-8976
Huifeng YunUniversity of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Lang ChenUniversity of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Stephanie S FordUniversity of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Hubert van HoogstratenSanofi, Bridgewater, NJ, USA.
Stefano FioreSanofi, Bridgewater, NJ, USA.ORCID http://orcid.org/0000-0002-3785-2448
Kerri FordSanofi, Cambridge, MA, USA.
Amy PraestgaardSanofi, Cambridge, MA, USA.
Markus RehbergSanofi, Frankfurt, Germany.
Ernest ChoyCREATE Centre, Cardiff University, Cardiff, UK.ORCID http://orcid.org/0000-0003-4459-8609
Sanofi (United States) · USUniversity of Alabama at Birmingham · USCardiff University · GBSanofi (Germany) · DE

Funding

Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
NIAMS NIH HHS P30 AR072583
6 · The paper itself

Abstract

introductionClinical trial findings may not be generalizable to routine practice. This study evaluated sarilumab effectiveness in patients with rheumatoid arthritis (RA) and tested the real-world applicability of a response prediction rule, derived from trial data using machine learning (based on C-reactive protein [CRP] > 12.3 mg/l and seropositivity [anticyclic citrullinated peptide antibodies, ACPA +]).

methodsSarilumab initiators from the ACR-RISE Registry, with ≥ 1 prescription on/after its FDA approval (2017-2020), were divided into three cohorts based on progressively restrictive criteria: Cohort A (had active disease), Cohort B (met eligibility criteria of a phase 3 trial in RA patients with inadequate response/intolerance to tumor necrosis factor inhibitors [TNFi]), and Cohort C (characteristics matched to the phase 3 trial baseline). Mean changes in Clinical Disease Activity Index (CDAI) and Routine Assessment of Patient Index Data 3 (RAPID3) were evaluated at 6 and 12 months. In a separate cohort, predictive rule was tested based on CRP levels and seropositive status (ACPA and/or rheumatoid factor); patients were categorized into rule-positive (seropositive with CRP > 12.3 mg/l) and rule-negative groups to compare the odds of achieving CDAI low disease activity (LDA)/remission and minimal clinically important difference (MCID) over 24 weeks.

resultsAmong sarilumab initiators (N = 2949), treatment effectiveness was noted across cohorts, with greater improvement noted for Cohort C at 6 and 12 months. Among the predictive rule cohort (N = 205), rule-positive (vs. rule-negative) patients were more likely to reach LDA (odds ratio: 1.5 [0.7, 3.2]) and MCID (1.1 [0.5, 2.4]). Sensitivity analyses (CRP > 5 mg/l) showed better response to sarilumab in rule-positive patients.

conclusionsIn real-world setting, sarilumab demonstrated treatment effectiveness, with greater improvements in the most selective population, mirroring phase 3 TNFi-refractory and rule-positive RA patients. Seropositivity appeared a stronger driver for treatment response than CRP, although optimization of the rule in routine practice requires further data.

Indexed as

ACPACDAICRPReal-worldRheumatoid arthritisRISE registrySarilumabSeronegativeSeropositiveTreatment response

Identifiers

PMID37349636
PMCPMC10326227
OpenAlexW4381716784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.