Evidence map›Paper›PMID 37948030›Full record

ArticleRheumatology and therapy2024

Decision Impact Analysis to Measure the Influence of Molecular Signature Response Classifier Testing on Treatment Selection in Rheumatoid Arthritis.

Jeffrey R Curtis, Vibeke Strand, Steven J Golombek, George A Karpouzas, Lixia Zhang, Angus Wong, Krishna Patel, Jennifer Dines, Viatcheslav R Akmaev

Abstract read
In one paragraph

Article in Rheumatology and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Jeffrey R CurtisDivision of Clinical Immunology and Rheumatology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Vibeke StrandDivision of Immunology/Rheumatology, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-4978-4072
Steven J GolombekAllergy, Asthma and Arthritis Associates, St. Clare's Health, Denville, NJ, USA.
George A KarpouzasHarbor-UCLA Medical Center, Torrance, CA, USA.
Lixia ZhangScipher Medicine Corporation, 221 Crescent Street, Suite 103A, Waltham, MA, 02453, USA.
Angus WongScipher Medicine Corporation, 221 Crescent Street, Suite 103A, Waltham, MA, 02453, USA.
Krishna PatelScipher Medicine Corporation, 221 Crescent Street, Suite 103A, Waltham, MA, 02453, USA.
Jennifer DinesScipher Medicine Corporation, 221 Crescent Street, Suite 103A, Waltham, MA, 02453, USA.
Viatcheslav R AkmaevScipher Medicine Corporation, 221 Crescent Street, Suite 103A, Waltham, MA, 02453, USA. slava.akmaev@scipher.com.ORCID http://orcid.org/0000-0001-8361-7708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClinical guidelines offer little guidance for treatment selection following inadequate response to conventional synthetic disease-modifying antirheumatic drug (csDMARD) in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) was validated to predict tumor necrosis factor inhibitor (TNFi) inadequate response. The decision impact of MSRC results on biologic and targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) selection was evaluated.

methodsThis is an analysis of AIMS, a longitudinal, prospective database of patients with RA tested using the MSRC. This study assessed selection of b/tsDMARDs class after MSRC testing by surveying physicians, the rate of b/tsDMARD prescriptions aligning with MSRC results, and the percentage of physicians utilizing MSRC results for decision-making.

resultsOf 1018 participants, 70.7% (720/1018) had treatment selected after receiving MSRC results. In this MSRC-informed cohort, 75.6% (544/720) of patients received a b/tsDMARD aligned with MSRC results, and 84.6% (609/720) of providers reported using MSRC results to guide treatment selection. The most prevalent reason reported (8.2%, 59/720) for not aligning treatment selection with MSRC results from the total cohort was health insurance coverage issues.

conclusionThis study showed that rheumatologists reported using the MSRC test to guide b/tsDMARD selection for patients with RA. In most cases, MSRC test results appeared to influence clinical decision-making according to physician self-report. Wider adoption of precision medicine tools like the MSRC could support rheumatologists and patients in working together to achieve optimal outcomes for RA.

Indexed as

Molecular signaturePrecision medicineResponse classifierRheumatoid arthritisTreatment selection

Identifiers

PMID37948030
PMCPMC10796853

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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.