Novel risk stratification algorithm for estimating the risk of death in patients with relapsed multiple myeloma: external validation in a retrospective chart review

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F20%3AE0108482" target="_blank" >RIV/00843989:_____/20:E0108482 - isvavai.cz</a>

Result on the web

<a href="https://bmjopen.bmj.com/content/bmjopen/10/7/e034209.full.pdf" target="_blank" >https://bmjopen.bmj.com/content/bmjopen/10/7/e034209.full.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1136/bmjopen-2019-034209" target="_blank" >10.1136/bmjopen-2019-034209</a>

Result language

angličtina

Original language name

Novel risk stratification algorithm for estimating the risk of death in patients with relapsed multiple myeloma: external validation in a retrospective chart review

Original language description

Objectives and design: A novel risk stratification algorithm estimating risk of death in patients with relapsed multiple myeloma starting second-line treatment was recently developed using multivariable Cox regression of data from a Czech registry. It uses 16 parameters routinely collected in medical practice to stratify patients into four distinct risk groups in terms of survival expectation. To provide insight into generalisability of the risk stratification algorithm, the study aimed to validate the risk stratification algorithm using real-world data from specifically designed retrospective chart audits from three European countries. Participants and setting: Physicians collected data from 998 patients (France, 386; Germany, 344; UK, 268) and applied the risk stratification algorithm. Methods: The performance of the Cox regression model for predicting risk of death was assessed by Nagelkerke's R2, goodness of fit and the C-index. The risk stratification algorithm's ability to discriminate overall survival across four risk groups was evaluated using Kaplan-Meier curves and HRs. Results: Consistent with the Czech registry, the stratification performance of the risk stratification algorithm demonstrated clear differentiation in risk of death between the four groups. As risk groups increased, risk of death doubled. The C-index was 0.715 (95% CI 0.690 to 0.734). Conclusions: Validation of the novel risk stratification algorithm in an independent 'real-world' dataset demonstrated that it stratifies patients in four subgroups according to survival expectation.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30205 - Hematology

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BMJ Open

ISSN

2044-6055

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

7

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

1-10

UT code for WoS article

000640895100001

EID of the result in the Scopus database

2-s2.0-85088041529