Newly diagnosed lymphoma of any subtypes aged greater than 18 years. Newly diagnosed lymphoma of any subtypes and participants with normal white blood cell (WBC) counts and normal differential WBC counts from the last CBC result (within 1 year)
Conditions
Interventions
Newly diagnosed lymphoma of any subtypes and participants with normal white blood cell (WBC) counts and normal differential WBC counts from the last CBC result (within 1 year) and aged greater than 18
Other
Newly diagnosed lymphoma of any subtypes aged greater than 18 years.
Sponsors
Siriraj Hospital Mahidol University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Newly diagnosed lymphoma of any subtypes 2. Aged greater than 18 years 3. Participants with normal white blood cell (WBC) counts and normal differential WBC counts from the last CBC result (within 1 year)
Exclusion criteria
Exclusion criteria: 1. Participants with known underlying diseases of hemolytic anemia 2. Participants with known underlying diseases of hematologic malignancy besides lymphoma 3. Participants with known underlying disease of neoplasms involving bone marrow 4. Participants with lymphocytosis (absolute lymphocyte count > 4,000/mcL) 5. Participants with a history of recently receiving blood transfusion within 4 weeks 6. Participants with a history of receiving chemotherapy within 4 weeks 7. Participants with a history of blood donation or recent blood loss greater than 250 mL within 4 weeks 8. Participants who receiving erythropoietin 9. Participants with GI mucosal involvement of lymphoma
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To evaluate the correlation between circulating erythroblast event elevation and abnormality and confirmed BMI in lymphoma patients by BM study First clinic visit Result between circulating erythroblast event elevation and abnormality confirmed BMI per normal | — |
Secondary
| Measure | Time frame |
|---|---|
| To identify BMD specificity cut-off value to correctly predict BMI. within one year after end of study identify the optimal cut-off for highest test performance the classical receiver operator characteristic (ROC) curve analysis | — |
Countries
Thailand
Contacts
Public Contactweerapat Owattanapanich
Division of Hematology ,Faculty of Medicine Siriraj Hospital, Mahidol University
Outcome results
None listed