Evidence map›Paper›PMID 37436748›Full record

ArticleJAMA network open2023

Response to Biologic Drugs in Patients With Rheumatoid Arthritis and Antidrug Antibodies.

Samuel Bitoun, Signe Hässler, David Ternant, Natacha Szely, Aude Gleizes, Christophe Richez, Martin Soubrier, Jérome Avouac, Olivier Brocq, Jérémie Sellam and 12 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

22 authors at 10 institutions in 5 countries.

Samuel BitounRheumatology Department, Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale (INSERM) U1184, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Fédération Hospitalo Universitaire Cancer and Autoimmunity Relationships, Paris, France.
Signe HässlerUniversité Paris-Saclay, INSERM U1018, Centre de Recherche en Epidémiologie et Santé des Populations, Paris, France.
David TernantEA6295 NanoMedicines and NanoProbes, University of Tours, Tours, France.
Natacha SzelyUniversité Paris-Saclay, INSERM, Inflammation, Microbiome, Immunosurveillance, Faculty of Pharmacy, Paris, France.
Aude GleizesClinical Immunology Laboratory, Groupe Hospitalier Universitaire Paris-Saclay, Hôpital Bicêtre, APHP, Paris, France.
Christophe RichezRheumatology Department, Centre Hospitalier Universitaire (CHU) de Bordeaux-GH Pellegrin, Bordeaux, France.
Martin SoubrierRheumatology Department, CHU Gabriel-Montpied, Clermont-Ferrand, France.
Jérome AvouacRheumatology Department, Hôpital Cochin, APHP, Centre-Université de Paris Cité, Paris, France.
Olivier BrocqRheumatology Department, Hôpital Princesse Grâce de Monaco, Monaco.
Jérémie SellamRheumatology Department, Hôpital Saint-Antoine, APHP, Sorbonne University, INSERM UMR 938, Paris, France.
Niek de VriesRheumatology and Clinical Immunology, Amsterdam UMC, AMC University of Amsterdam, Amsterdam, the Netherlands.
Tom W J HuizingaDepartment of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands.
Elizabeth C JuryCentre for Rheumatology Research, University College London, London, England.
Jessica J MansonDepartment of Rheumatology, University College London Hospital, London, England.
Claudia MauriDivision of Infection, Immunity and Transplantation, University College London, London, England.
Andrea MatucciDepartment of Immunology, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Salima Hacein Bey AbinaClinical Immunology Laboratory, Groupe Hospitalier Universitaire Paris-Saclay, Hôpital Bicêtre, APHP, Paris, France.
Denis MullemanEA6295 NanoMedicines and NanoProbes, University of Tours, Tours, France.
Marc PallardyUniversité Paris-Saclay, INSERM, Inflammation, Microbiome, Immunosurveillance, Faculty of Pharmacy, Paris, France.
Philippe BroëtUniversité Paris-Saclay, INSERM U1018, Centre de Recherche en Epidémiologie et Santé des Populations, Paris, France.
Xavier MarietteRheumatology Department, Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale (INSERM) U1184, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Fédération Hospitalo Universitaire Cancer and Autoimmunity Relationships, Paris, France.
ABIRISK Consortium
Inserm · FRUniversité de Tours · FRUniversity College London · GBAmsterdam University Medical Centers · NLAzienda Ospedaliero-Universitaria Careggi · ITCentre Hospitalier Universitaire de Bordeaux · FRLeiden University Medical Center · NLPrincess Grace Hospital Centre · MCUniversité Paris Cité · FRUniversity College Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There are conflicting data on the association of antidrug antibodies with response to biologic disease-modifying antirheumatic drugs (bDMARDs) in rheumatoid arthritis (RA). Objective: To analyze the association of antidrug antibodies with response to treatment for RA. Design, Setting, and Participants: This cohort study analyzed data from the ABI-RA (Anti-Biopharmaceutical Immunization: Prediction and Analysis of Clinical Relevance to Minimize the Risk of Immunization in Rheumatoid Arthritis Patients) multicentric, open, prospective study of patients with RA from 27 recruiting centers in 4 European countries (France, Italy, the Netherlands, and the UK). Eligible patients were 18 years or older, had RA diagnosis, and were initiating a new bDMARD. Recruitment spanned from March 3, 2014, to June 21, 2016. The study was completed in June 2018, and data were analyzed in June 2022. Exposures: Patients were treated with a new bDMARD: adalimumab, infliximab (grouped as anti-tumor necrosis factor [TNF] monoclonal antibodies [mAbs]), etanercept, tocilizumab, and rituximab according to the choice of the treating physician. Main Outcomes and Measures: The primary outcome was the association of antidrug antibody positivity with EULAR (European Alliance of Associations for Rheumatology; formerly, European League Against Rheumatism) response to treatment at month 12 assessed through univariate logistic regression. The secondary end points were the EULAR response at month 6 and at visits from month 6 to months 15 to 18 using generalized estimating equation models. Detection of antidrug antibody serum levels was performed at months 1, 3, 6, 12, and 15 to 18 using electrochemiluminescence (Meso Scale Discovery) and drug concentration for anti-TNF mAbs, and etanercept in the serum was measured using enzyme-linked immunosorbent assay. Results: Of the 254 patients recruited, 230 (mean [SD] age, 54.3 [13.7] years; 177 females [77.0%]) were analyzed. At month 12, antidrug antibody positivity was 38.2% in patients who were treated with anti-TNF mAbs, 6.1% with etanercept, 50.0% with rituximab, and 20.0% with tocilizumab. There was an inverse association between antidrug antibody positivity (odds ratio [OR], 0.19; 95% CI, 0.09-0.38; P < .001) directed against all biologic drugs and EULAR response at month 12. Analyzing all the visits starting at month 6 using generalized estimating equation models confirmed the inverse association between antidrug antibody positivity and EULAR response (OR, 0.35; 95% CI, 0.18-0.65; P < .001). A similar association was found for tocilizumab alone (OR, 0.18; 95% CI, 0.04-0.83; P = .03). In the multivariable analysis, antidrug antibodies, body mass index, and rheumatoid factor were independently inversely associated with response to treatment. There was a significantly higher drug concentration of anti-TNF mAbs in patients with antidrug antibody-negative vs antidrug antibody-positive status (mean difference, -9.6 [95% CI, -12.4 to -6.9] mg/L; P < 001). Drug concentrations of etanercept (mean difference, 0.70 [95% CI, 0.2-1.2] mg/L; P = .005) and adalimumab (mean difference, 1.8 [95% CI, 0.4-3.2] mg/L; P = .01) were lower in nonresponders vs responders. Methotrexate comedication at baseline was inversely associated with antidrug antibodies (OR, 0.50; 95% CI, 0.25-1.00; P = .05). Conclusions and Relevance: Results of this prospective cohort study suggest an association between antidrug antibodies and nonresponse to bDMARDs in patients with RA. Monitoring antidrug antibodies could be considered in the treatment of these patients, particularly nonresponders to biologic RA drugs.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidBiological ProductsAdalimumabAntibodies, MonoclonalCohort StudiesEtanerceptFemaleHumansMiddle AgedProspective StudiesRituximabTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsAdalimumabAntibodies, MonoclonalAntirheumatic AgentsBiological ProductsEtanerceptRituximabTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitors

Identifiers

PMID37436748
PMCPMC10339150
OpenAlexW4383999139

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Registered trials

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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.