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The advanced-stage Hodgkin lymphoma international prognostic index: development and validation of a clinical prediction model from the HoLISTIC Consortium

The advanced-stage Hodgkin lymphoma international prognostic index: development and validation of a clinical prediction model from the HoLISTIC Consortium
The advanced-stage Hodgkin lymphoma international prognostic index: development and validation of a clinical prediction model from the HoLISTIC Consortium
Purpose: the International Prognostic Score (IPS) has been used in classic Hodgkin lymphoma (cHL) for 25 years. However, analyses have documented suboptimal performance of the IPS among contemporarily treated patients. Harnessing multisource individual patient data from the Hodgkin Lymphoma International Study for Individual Care consortium, we developed and validated a modern clinical prediction model.
Methods: model development via Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines was performed on 4,022 patients with newly diagnosed advanced-stage adult cHL from eight international phase III clinical trials, conducted from 1996 to 2014. External validation was performed on 1,431 contemporaneously treated patients from four real-world cHL registries. To consider association over a full range of continuous variables, we evaluated piecewise linear splines for potential nonlinear relationships. Five-year progression-free survival (PFS) and overall survival (OS) were estimated using Cox proportional hazard models.
Results: the median age in the development cohort was 33 (18-65) years; nodular sclerosis was the most common histology. Kaplan-Meier estimators were 0.77 for 5-year PFS and 0.92 for 5-year OS. Significant predictor variables included age, sex, stage, bulk, absolute lymphocyte count, hemoglobin, and albumin, with slight variation for PFS versus OS. Moreover, age and absolute lymphocyte count yielded nonlinear relationships with outcomes. Optimism-corrected c-statistics in the development model for 5-year PFS and OS were 0.590 and 0.720, respectively. There was good discrimination and calibration in external validation and consistent performance in internal-external validation. Compared with the IPS, there was superior discrimination for OS and enhanced calibration for PFS and OS.
Conclusion: we rigorously developed and externally validated a clinical prediction model in > 5,000 patients with advanced-stage cHL. Furthermore, we identified several novel nonlinear relationships and improved the prediction of patient outcomes. An online calculator was created for individualized point-of-care use.
1527-7755
2076-2086
Rodday, Angie Mae
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Parsons, Susan K.
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Upshaw, Jenica N.
e98838f0-a929-4bff-bdb1-5fac55daa044
Friedberg, Jonathan W.
734260ab-161f-4f22-ba92-f446fcd02d16
Gallamini, Andrea
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Hawkes, Eliza
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Hodgson, David
ef6c6bae-2d0d-422f-81a0-eef3551a171a
Johnson, Peter
3f6068ce-171e-4c2c-aca9-dc9b6a37413f
Link, Brian K.
45ad48c3-f997-43e0-ac80-f42983a643a7
Mou, Eric
2d6dfd69-60ad-4016-a906-6ceea8467665
Savage, Kerry J.
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Zinzani, Pier Luigi
c8a817bb-0f54-4bde-90b2-d3339ed8fff5
Maurer, Matthew
dd5bbdf8-ebdc-422a-9023-bb8bf95e33ce
Evens, Andrew M.
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Rodday, Angie Mae
9d0cc350-a041-4eb7-af6c-71a6b33cdaf0
Parsons, Susan K.
475db567-2c2b-46bb-bfd1-dee5f5836ca3
Upshaw, Jenica N.
e98838f0-a929-4bff-bdb1-5fac55daa044
Friedberg, Jonathan W.
734260ab-161f-4f22-ba92-f446fcd02d16
Gallamini, Andrea
9e86b35e-9fde-4f81-8ed5-4a8cce26b447
Hawkes, Eliza
57288a96-5497-4f55-b61d-2bc50176f542
Hodgson, David
ef6c6bae-2d0d-422f-81a0-eef3551a171a
Johnson, Peter
3f6068ce-171e-4c2c-aca9-dc9b6a37413f
Link, Brian K.
45ad48c3-f997-43e0-ac80-f42983a643a7
Mou, Eric
2d6dfd69-60ad-4016-a906-6ceea8467665
Savage, Kerry J.
08b477eb-7338-4d3b-a2d3-09b3b4daaa9d
Zinzani, Pier Luigi
c8a817bb-0f54-4bde-90b2-d3339ed8fff5
Maurer, Matthew
dd5bbdf8-ebdc-422a-9023-bb8bf95e33ce
Evens, Andrew M.
ed3b9dc4-52b1-4e87-aaf5-7f6810d888b9

Rodday, Angie Mae, Parsons, Susan K., Upshaw, Jenica N., Friedberg, Jonathan W., Gallamini, Andrea, Hawkes, Eliza, Hodgson, David, Johnson, Peter, Link, Brian K., Mou, Eric, Savage, Kerry J., Zinzani, Pier Luigi, Maurer, Matthew and Evens, Andrew M. (2023) The advanced-stage Hodgkin lymphoma international prognostic index: development and validation of a clinical prediction model from the HoLISTIC Consortium. Journal of Clinical Oncology, 41 (11), 2076-2086. (doi:10.1200/JCO.22.02473).

Record type: Article

Abstract

Purpose: the International Prognostic Score (IPS) has been used in classic Hodgkin lymphoma (cHL) for 25 years. However, analyses have documented suboptimal performance of the IPS among contemporarily treated patients. Harnessing multisource individual patient data from the Hodgkin Lymphoma International Study for Individual Care consortium, we developed and validated a modern clinical prediction model.
Methods: model development via Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines was performed on 4,022 patients with newly diagnosed advanced-stage adult cHL from eight international phase III clinical trials, conducted from 1996 to 2014. External validation was performed on 1,431 contemporaneously treated patients from four real-world cHL registries. To consider association over a full range of continuous variables, we evaluated piecewise linear splines for potential nonlinear relationships. Five-year progression-free survival (PFS) and overall survival (OS) were estimated using Cox proportional hazard models.
Results: the median age in the development cohort was 33 (18-65) years; nodular sclerosis was the most common histology. Kaplan-Meier estimators were 0.77 for 5-year PFS and 0.92 for 5-year OS. Significant predictor variables included age, sex, stage, bulk, absolute lymphocyte count, hemoglobin, and albumin, with slight variation for PFS versus OS. Moreover, age and absolute lymphocyte count yielded nonlinear relationships with outcomes. Optimism-corrected c-statistics in the development model for 5-year PFS and OS were 0.590 and 0.720, respectively. There was good discrimination and calibration in external validation and consistent performance in internal-external validation. Compared with the IPS, there was superior discrimination for OS and enhanced calibration for PFS and OS.
Conclusion: we rigorously developed and externally validated a clinical prediction model in > 5,000 patients with advanced-stage cHL. Furthermore, we identified several novel nonlinear relationships and improved the prediction of patient outcomes. An online calculator was created for individualized point-of-care use.

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JCO A-HIPI (FINAL) 4.11.22 - Accepted Manuscript
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e-pub ahead of print date: 10 December 2022
Published date: 10 April 2023

Identifiers

Local EPrints ID: 484675
URI: http://eprints.soton.ac.uk/id/eprint/484675
ISSN: 1527-7755
PURE UUID: be758ccb-2b91-41a9-8fcd-6916374c96c6
ORCID for Peter Johnson: ORCID iD orcid.org/0000-0003-2306-4974

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Date deposited: 20 Nov 2023 17:40
Last modified: 10 Apr 2024 04:07

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Contributors

Author: Angie Mae Rodday
Author: Susan K. Parsons
Author: Jenica N. Upshaw
Author: Jonathan W. Friedberg
Author: Andrea Gallamini
Author: Eliza Hawkes
Author: David Hodgson
Author: Peter Johnson ORCID iD
Author: Brian K. Link
Author: Eric Mou
Author: Kerry J. Savage
Author: Pier Luigi Zinzani
Author: Matthew Maurer
Author: Andrew M. Evens

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