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Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()

BACKGROUND: The clinical outcomes following rituximab (RTX) treatment in patients with systemic lupus erythematosus (SLE) is highly variable. We aimed to identify predictive and prognostic factors associated with RTX therapy outcomes in patients with SLE. METHODS: Studies in adults and paediatric pa...

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Autores principales: Pirone, Carmelo, Mendoza-Pinto, Claudia, van der Windt, Daniëlle A., Parker, Ben, O׳Sullivan, Miriam, Bruce, Ian N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: W.B. Saunders 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695978/
https://www.ncbi.nlm.nih.gov/pubmed/28602359
http://dx.doi.org/10.1016/j.semarthrit.2017.04.010
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author Pirone, Carmelo
Mendoza-Pinto, Claudia
van der Windt, Daniëlle A.
Parker, Ben
O׳Sullivan, Miriam
Bruce, Ian N.
author_facet Pirone, Carmelo
Mendoza-Pinto, Claudia
van der Windt, Daniëlle A.
Parker, Ben
O׳Sullivan, Miriam
Bruce, Ian N.
author_sort Pirone, Carmelo
collection PubMed
description BACKGROUND: The clinical outcomes following rituximab (RTX) treatment in patients with systemic lupus erythematosus (SLE) is highly variable. We aimed to identify predictive and prognostic factors associated with RTX therapy outcomes in patients with SLE. METHODS: Studies in adults and paediatric patients with SLE were included. We included randomized clinical trials (RCTs) for predictors of differential treatment effect and cohort studies for potential prognostic factors in patients treated with RTX (global clinical, cutaneous and renal either response or relapse, and side effects). Methodological quality was assessed using Cochrane Collaboration Risk of Bias tool and the Quality In Prognosis Studies Tool (QUIPS) for RCTs and cohort studies, respectively. The quality of subgroup analyses testing predictors of differential treatment response was also evaluated. A best evidence synthesis was performed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. RESULTS: Sixteen articles were included (3 from 2 RCTs and 13 from 6 cohort studies). The overall quality of evidence (QoE) was low to very low (GRADE framework). QoE for predictive factors based on RCTs analysing sociodemographic variables, was rated very low due to the lack of interaction tests, limited power of subgroup analyses, study limitations, and imprecisions. Disease-related factors including clinical phenotype and severity, baseline anti-ENA antibodies and anti-Ro antibodies, interleukin (IL) 2/21 single nucleotide polymorphism (SNP), as well as post-RTX complete B-cell depletion and earlier B-cell repopulation showed some evidence for prognostic value, but were rated low to very low QoE because of early phase of investigation (exploratory analysis), insufficient adjustment for confounding in most studies, high risk of bias, inconsistency, and imprecisions. CONCLUSIONS: To date, studies addressing prognostic factors are hypothesis generating and cannot be used to make any specific recommendations for routine clinical practice. A number of potential predictors/prognostic factors were identified, which require to be validated as being specific for response to RTX therapy and to enable more personalised use of this agent.
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spelling pubmed-56959782017-12-04 Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review() Pirone, Carmelo Mendoza-Pinto, Claudia van der Windt, Daniëlle A. Parker, Ben O׳Sullivan, Miriam Bruce, Ian N. Semin Arthritis Rheum Article BACKGROUND: The clinical outcomes following rituximab (RTX) treatment in patients with systemic lupus erythematosus (SLE) is highly variable. We aimed to identify predictive and prognostic factors associated with RTX therapy outcomes in patients with SLE. METHODS: Studies in adults and paediatric patients with SLE were included. We included randomized clinical trials (RCTs) for predictors of differential treatment effect and cohort studies for potential prognostic factors in patients treated with RTX (global clinical, cutaneous and renal either response or relapse, and side effects). Methodological quality was assessed using Cochrane Collaboration Risk of Bias tool and the Quality In Prognosis Studies Tool (QUIPS) for RCTs and cohort studies, respectively. The quality of subgroup analyses testing predictors of differential treatment response was also evaluated. A best evidence synthesis was performed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. RESULTS: Sixteen articles were included (3 from 2 RCTs and 13 from 6 cohort studies). The overall quality of evidence (QoE) was low to very low (GRADE framework). QoE for predictive factors based on RCTs analysing sociodemographic variables, was rated very low due to the lack of interaction tests, limited power of subgroup analyses, study limitations, and imprecisions. Disease-related factors including clinical phenotype and severity, baseline anti-ENA antibodies and anti-Ro antibodies, interleukin (IL) 2/21 single nucleotide polymorphism (SNP), as well as post-RTX complete B-cell depletion and earlier B-cell repopulation showed some evidence for prognostic value, but were rated low to very low QoE because of early phase of investigation (exploratory analysis), insufficient adjustment for confounding in most studies, high risk of bias, inconsistency, and imprecisions. CONCLUSIONS: To date, studies addressing prognostic factors are hypothesis generating and cannot be used to make any specific recommendations for routine clinical practice. A number of potential predictors/prognostic factors were identified, which require to be validated as being specific for response to RTX therapy and to enable more personalised use of this agent. W.B. Saunders 2017-12 /pmc/articles/PMC5695978/ /pubmed/28602359 http://dx.doi.org/10.1016/j.semarthrit.2017.04.010 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pirone, Carmelo
Mendoza-Pinto, Claudia
van der Windt, Daniëlle A.
Parker, Ben
O׳Sullivan, Miriam
Bruce, Ian N.
Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title_full Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title_fullStr Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title_full_unstemmed Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title_short Predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (SLE): A systematic review()
title_sort predictive and prognostic factors influencing outcomes of rituximab therapy in systemic lupus erythematosus (sle): a systematic review()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695978/
https://www.ncbi.nlm.nih.gov/pubmed/28602359
http://dx.doi.org/10.1016/j.semarthrit.2017.04.010
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