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cGA in Newly-diagnosed Elderly MM Patients: a Multi-center, Prospective, Non-interventional Study.

Chinese Academy of Medical Sciences & Peking Union Medical College logo

Chinese Academy of Medical Sciences & Peking Union Medical College

Status

Unknown

Conditions

Multiple Myeloma
Comprehensive Geriatric Assessment

Treatments

Other: Questionaires

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

This is a multi-center, prospective, non-interventional study. Eligible newly diagnosed elderly multiple myeloma (MM) patients will receive comprehensive geriatric assessment (cGA) including ECOG scale, questionaires of ADL(activities of daily living), IADL(instrumental ADL),MNA-SF(mini-nutritional assessment), GDS(geriatric depression scale), MMSE(mini-mental state examination), SF-36 and CCI (charlson comorbidity index). Patients will get standard care for MM and receive the above assessments at baseline and after cycle 1, 4 and 12 for treating MM.Follow-up information and survival data of these MM patients would be collected. We would evaluate the cGA status of these newly diagnosed elderly MM patients and investigate the association of cGA parameters with patient's survival.

Full description

Baseline: ECOG, ADL, IADL, MNA-SF, GDS, MMSE, SF-36 and CCI; After cycle 1: ECOG,ADL,IADL,GDS and SF-36 After cycle 4: ECOG,ADL,IADL,GDS, MNA-SF and SF-36 After cycle 12: ECOG,ADL,IADL,GDS, MNA-SF and SF-36

Enrollment

200 estimated patients

Sex

All

Ages

65+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • age>=65 years old;
  • newly diagnosed and untreated MM patients;
  • able to provide informed consent

Exclusion criteria

  • refused to participate;
  • with concomitant amyloidosis;
  • smoldering MM.

Trial design

200 participants in 1 patient group

Newly diagnosed MM patients
Description:
newly diagnosed MM patients who fulfilled the inclusion criteria for this study
Treatment:
Other: Questionaires

Trial contacts and locations

0

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Central trial contact

Jian Li, M.D.

Data sourced from clinicaltrials.gov

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