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Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission

BACKGROUND: Achieving lasting remission for at least 2 years is a good indicator for favourable prognosis long term after Diffuse large B-cell lymphoma (DLBCL). The aim of this study was to provide real-world probabilities, useful in risk communication and clinical decision-making, of the chance for...

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Autores principales: Ekberg, Sara, Crowther, Michael, Harrysson, Sara, Jerkeman, Mats, E. Smedby, Karin, Eloranta, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596493/
https://www.ncbi.nlm.nih.gov/pubmed/35999271
http://dx.doi.org/10.1038/s41416-022-01931-2
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author Ekberg, Sara
Crowther, Michael
Harrysson, Sara
Jerkeman, Mats
E. Smedby, Karin
Eloranta, Sandra
author_facet Ekberg, Sara
Crowther, Michael
Harrysson, Sara
Jerkeman, Mats
E. Smedby, Karin
Eloranta, Sandra
author_sort Ekberg, Sara
collection PubMed
description BACKGROUND: Achieving lasting remission for at least 2 years is a good indicator for favourable prognosis long term after Diffuse large B-cell lymphoma (DLBCL). The aim of this study was to provide real-world probabilities, useful in risk communication and clinical decision-making, of the chance for lasting remissions by clinical characteristics. METHODS: DLBCL patients in remission after primary treatment recorded in the Swedish Lymphoma register 2007–2014 (n = 2941) were followed for relapse and death using multistate models to study patient trajectories. Flexible parametric models were used to estimate transition rates. RESULTS: At 2 years, 80.7% (95% CI: 79.0–82.2) of the patients were predicted to remain in remission and 13.2% (95% CI: 11.9–14.6) to have relapsed. The relapse risk peaked at 7 months, and the annual decline of patients in remission stabilised after 2 years. The majority of patients in the second remission transitioned into a new relapse. The probability of a lasting remission was reduced by 20.4% units for patients with IPI 4–5 compared to patients with IPI 0–1, and time in remission was shortened by 3.5 months. CONCLUSION: The long-term prognosis was overall favourable with 80% achieving durable first remissions. However, prognosis varied by clinical subgroups and relapsing patients seldom achieved durable second remissions.
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spelling pubmed-95964932022-10-27 Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission Ekberg, Sara Crowther, Michael Harrysson, Sara Jerkeman, Mats E. Smedby, Karin Eloranta, Sandra Br J Cancer Article BACKGROUND: Achieving lasting remission for at least 2 years is a good indicator for favourable prognosis long term after Diffuse large B-cell lymphoma (DLBCL). The aim of this study was to provide real-world probabilities, useful in risk communication and clinical decision-making, of the chance for lasting remissions by clinical characteristics. METHODS: DLBCL patients in remission after primary treatment recorded in the Swedish Lymphoma register 2007–2014 (n = 2941) were followed for relapse and death using multistate models to study patient trajectories. Flexible parametric models were used to estimate transition rates. RESULTS: At 2 years, 80.7% (95% CI: 79.0–82.2) of the patients were predicted to remain in remission and 13.2% (95% CI: 11.9–14.6) to have relapsed. The relapse risk peaked at 7 months, and the annual decline of patients in remission stabilised after 2 years. The majority of patients in the second remission transitioned into a new relapse. The probability of a lasting remission was reduced by 20.4% units for patients with IPI 4–5 compared to patients with IPI 0–1, and time in remission was shortened by 3.5 months. CONCLUSION: The long-term prognosis was overall favourable with 80% achieving durable first remissions. However, prognosis varied by clinical subgroups and relapsing patients seldom achieved durable second remissions. Nature Publishing Group UK 2022-08-23 2022-11-01 /pmc/articles/PMC9596493/ /pubmed/35999271 http://dx.doi.org/10.1038/s41416-022-01931-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ekberg, Sara
Crowther, Michael
Harrysson, Sara
Jerkeman, Mats
E. Smedby, Karin
Eloranta, Sandra
Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title_full Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title_fullStr Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title_full_unstemmed Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title_short Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
title_sort patient trajectories after diagnosis of diffuse large b-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596493/
https://www.ncbi.nlm.nih.gov/pubmed/35999271
http://dx.doi.org/10.1038/s41416-022-01931-2
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