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Related Experiment Videos

Stage IV diffuse large-cell lymphoma: a long-term analysis.

S Jagannath, W S Velasquez, S L Tucker

    Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
    |January 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

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    This study identified key prognostic factors for stage IV diffuse large-cell lymphoma. Age, extranodal sites, and lactate dehydrogenase levels predict survival, enabling personalized treatment for lymphoma patients.

    Area of Science:

    • Oncology
    • Hematology
    • Clinical Research

    Background:

    • Stage IV diffuse large-cell lymphoma (DLC) presents a significant clinical challenge.
    • Identifying prognostic factors is crucial for optimizing treatment strategies in DLC.

    Purpose of the Study:

    • To analyze long-term clinical outcomes in previously untreated adult patients with stage IV DLC.
    • To identify prognostic factors influencing survival and relapse in DLC.

    Main Methods:

    • Retrospective analysis of 61 adult patients diagnosed with stage IV DLC between 1974 and 1981.
    • Patients received a one-year treatment regimen including cyclophosphamide, doxorubicin, vincristine, prednisone, and bleomycin.
    • Prognostic factors were assessed using the proportional hazards model.

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    Main Results:

    • Overall five-year survival was 48.5%.
    • Complete remission was achieved in 41 of 56 evaluable patients.
    • Independent risk factors for survival included age, number of extranodal sites, and lactate dehydrogenase (LDH) level.
    • Younger patients with fewer extranodal sites and normal LDH had 100% five-year survival.
    • Relapse was predicted by LDH level, constitutional symptoms, and mediastinal disease.

    Conclusions:

    • Age, number of extranodal sites, and LDH level are significant independent predictors of survival in stage IV DLC.
    • These factors allow for the stratification of patients into distinct risk groups.
    • Individualized treatment planning based on these prognostic factors can improve outcomes and facilitate comparisons between different therapeutic regimens.