Dataset Information

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin's lymphoma: an observational study using SEER population-based data.

ABSTRACT:

Introduction

This study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.

Methods

We collected data of HL patients from 2010 to 2015 from the SEER database and divided it into two cohorts: the training and the verification cohort. Then the univariate and the multivariate Cox regression analyses were conducted in the training, the verification as well as the total cohort, after which the intersection of variables with statistical significance was taken as independent risk factors to establish the nomogram. The predictive ability of the nomogram was validated by the Concordance Index. Additionally, the calibration curve and receiver operating characteristic curve were implemented to evaluate the accuracy and discrimination. Finally, we obtained 1-year, 3-year and 5-year survival rates of HL patients.

Results

10 912 patients were eligible for the study. We discovered that Derived American Joint Committee on Cancer (AJCC) Stage Group, lymphoma subtype, radiotherapy and chemotherapy were four independent risk factors affecting the prognosis of HL patients. The 1-year, 3-year and 5-year survival rates for high-risk patients were 85.4%, 79.9% and 76.0%, respectively. It was confirmed that patients with stage I or II had a better prognosis. Radiotherapy and chemotherapy had a positive impact on HL outcomes. However, patients with lymphocyte-depleted HL were of poor prognosis.

Conclusions

The nomogram we constructed could better predict the prognosis of patients with HL. Patients with HL had good long-term outcomes but novel therapies are still in need for fewer complications.

SUBMITTER: Liang X

PROVIDER: S-EPMC9174788 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin's lymphoma: an observational study using SEER population-based data.

Liang Xiangping X Zhang Mingtao M Zhang Zherui Z Tan Shuzhen S Li Yingqi Y Zhong Yueyuan Y Shao Yingqi Y Kong Yi Y Yang Yue Y Li Shang S Xu Jiayi J Li Zesong Z Zhu Xiao X

BMJ open 20220607 6

<h4>Introduction</h4>This study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.<h4>Methods</h4>We collected data of HL patients from 2010 to 2015 from the SEER database and divided it into two cohorts: the training and the verification cohort. Then the univariate and the multivariate Cox regression analyses were conducted in the training, the verification a ...[more]

PMID: 35672070

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Project description:BackgroundNon-Hodgkin's lymphoma (NHL) development in Sjögren's syndrome (SS) remains a potentially lethal complication and efforts should focus on the identification of predictors that could aid in appropriate therapeutic decisions.MethodsIn order to identify potential prognostic factors for outcome in SS-associated NHL, we retrospectively analyzed a cohort of 77 patients, diagnosed with NHL according to WHO classification criteria and meeting the American-European Consensus Classification (AECC) criteria for SS and examined the effect of SS-activity (defined as the EULAR SS disease activity index-ESSDAI) in the prognosis of SS-related NHLs, as defined in terms of overall and event-free survivals (OS and EFS). An event was defined as lymphoma relapse, treatment failure, disease progression, histological transformation or death. The effect of NHL clinical and laboratory characteristics was also investigated.ResultsMALT lymphomas constituted the majority (66.2%) of lymphomas. During the follow-up (median = 57.93 months), the 5-year OS was 90.91% (95% CI: 82.14-95.80%) and the EFS was 77.92% (95% CI: 67.37-85.82%). Patients with high ESSDAI score at lymphoma diagnosis had a greater risk for death (OR = 5.241, 95% CI: 1.034-26.568) or for event (OR = 4.317, 95% CI: 1.146-9.699, p = 0.008). These patients had also significantly worse EFS (HR = 4.541, 95% CI: 1.772-11.637) and OS (HR = 5.946, 95% CI: 1.259-28.077). In addition, post-chemotherapy ESSDAI improvement was significantly lower in patients who had experienced an event (p = 0.005). An unfavorable International prognostic index (IPI) score (high-intermediate/high) was associated with high risk of death and event (OR = 13.867, 95% CI: 2.656-72.387 and OR = 12.589, 95% CI: 3.911-40.526, respectively), worse EFS (log-rank p<0.001, HR = 8.718, 95% CI: 3.477-21.858), as well as with worse OS (log-rank p<0.001, HR = 11.414, 95% CI: 2.414-53.974). After adjustment for identified risk factors, IPI score retained a significant prognostic role following by a strong effect of ESSDAI in survival outcomes.ConclusionsAt the point of NHL diagnosis, IPI and ESSDAI might be proved useful predictive tools in SS-associated lymphoma prognosis, directing to a more patient-tailored approach.

Dataset Information

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin's lymphoma: an observational study using SEER population-based data.

Introduction

Methods

Results

Conclusions

Publications

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin's lymphoma: an observational study using SEER population-based data.

Similar Datasets

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