A risk factor for relapse in Hodgkin's disease: Female gender?

Jeffery, G. Mark; Colls, B. M.; Robinson, Bridget A.; Fitzharris, B.; Atkinson, Callum

doi:10.1002/hon.2900070503

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…In contrast to our result, up to 13.7% of incidents occurred among females annually (34). Moreover, another controversial result was reported by Jeffery (35), who found some factors (e.g., gender) that were predictive of disease-free survival, relapse, and overall survival. In this retrospective study, out of 163 patients with Hodgkin disease, females experienced relapse more than males (26% vs. 39%).…”

Section: Discussioncontrasting

confidence: 99%

Prediction Model for Disease Progression and Relevant Prognostic Factors in Hodgkin Patients: An Application of Frailty Multistate Model

Javanmardi

Rahim

Malehi³

et al. 2021

ircmj

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Background: In clinical cancer studies, there has been a high tendency of searching for more specific and new prognostic factors in cancers in the last few years. This multistate study aimed to model the progression of Hodgkin's disease by accounting for individual effect (heterogeneity) using the joint and independent frailty models. Method: After the utilization of the illness-death model, joint-modeling accounted for the dependency between relapse and death by considering the individual characteristics as a frailty term. Therefore, the effect of influential prognostic factors was evaluated on disease progression by frailty and joint-frailty multistate models. Results: The individual predictions were determined using the frameworks of the both models. The model was applied to 389 Hodgkin lymphoma patients. Gender (male), age (over 55 years), and low level of hemoglobin (less than 10.5) were associated with an increased risk of death and relapse in patients. The likelihood cross-validation criterion was proposed to choose the joint frailty model as a better fitting model. Conclusion: Multistate models were appropriate tools to study the whole event history of the subjects, which provided a deep insight into the dynamics of the disease. The problem of events-subjects dependency in the survival data was clarified using the multistate model. Therefore, the heterogeneity and dependency between the states led to more accurate estimations of the effects of the prognostic factors, thereby improving the predictions.

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Section: Discussioncontrasting

confidence: 99%

Prediction Model for Disease Progression and Relevant Prognostic Factors in Hodgkin Patients: An Application of Frailty Multistate Model

Javanmardi

Rahim

Malehi³

et al. 2021

ircmj

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“…One small analysis performed between 1969 and 1987 found that female sex was correlated with an inferior disease-free survival; however, treatment was heterogeneous and only 163 patients were included. 13 A recent study with 273 patients suggested that a positive Epstein-Barr virus status might be associated with better failurefree survival, particularly for males and young adults with advanced HL. 14 The GHSG analysis on 4,626 patients was the first large analysis that investigated gender-specific differences and their influence on treatment and outcome of patients with HL.…”

Section: Gender-specific Epidemiology and Outcome In Hodgkin Lymphomamentioning

confidence: 99%

Differences in hematotoxicity between male and female patients with Hodgkin lymphoma and other malignancies

Klimm

Engert

2008

Nat Rev Clin Oncol

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With improved treatment strategies and prognosis for patients with Hodgkin lymphoma (HL), interest has increasingly focused on high-risk groups. These groups include a small proportion of patients who experience relapse or who have primary refractory disease despite state-of-the-art treatment. Although many research efforts have been made in this field, specific biological markers that reliably predict unfavorable outcome during first-line treatment are lacking. Recent analyses in HL and other malignancies, however, have demonstrated an important impact of patient-related factors, such as individual differences in hematologic toxicity and drug metabolism, on disease outcome. A different cytochrome enzyme status and slower drug clearance in female patients, resulting in higher systemic toxicity and effectiveness of treatment, indicate that sex-specific aspects are important. In this Review, we discuss the current data on hematotoxicity among male and female patients with HL and other malignancies. In addition, we highlight the potential causes of hematotoxicity and its impact on treatment outcome and the role of future strategies.

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Role of Hematotoxicity and Sex in Patients With Hodgkin's Lymphoma: An Analysis From the German Hodgkin Study Group

Klimm

Reineke

Haverkamp

et al. 2005

JCO

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A risk factor for relapse in Hodgkin's disease: Female gender?

Cited by 5 publications

References 21 publications

Prediction Model for Disease Progression and Relevant Prognostic Factors in Hodgkin Patients: An Application of Frailty Multistate Model

Prediction Model for Disease Progression and Relevant Prognostic Factors in Hodgkin Patients: An Application of Frailty Multistate Model

Differences in hematotoxicity between male and female patients with Hodgkin lymphoma and other malignancies

Role of Hematotoxicity and Sex in Patients With Hodgkin's Lymphoma: An Analysis From the German Hodgkin Study Group

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