Retrospective Cohort Study
Copyright ©The Author(s) 2023.
World J Clin Oncol. Apr 24, 2023; 14(4): 179-189
Published online Apr 24, 2023. doi: 10.5306/wjco.v14.i4.179
Table 2 Crude analysis of factors associated with all-cause mortality and extramedullary multiple myeloma; related mortality among United States patients between 2000 and 2017
CharacteristicsOverall mortality
EMD MM mortality
Crude proportional-hazard ratio (95% confidence interval)
Gender
Female1 (reference) 1 (reference)
Male 1.02 (0.826-1.259)0.804 (0.611-1.056)
Age at diagnosis, yr
0-391 (reference)1 (reference)
40-591.683 (0.82-3.452)2.409 (0.754-7.696)
60-793.271 (1.615-6.627)c4.918 (1.565-15.461)c
80+6.951 (3.299-14.647)c10.111 (3.083-33.159)c
Race
Non-Hispanic white 1 (reference)1 (reference)
Non-Hispanic black1.339 (1.02-1.759)b1.446 (1.017-2.055)b
Hispanic 0.991 (0.719-1.365)0.791 (0.495-1.263)
Other 1.016 (0.63-1.639)1.209 (0.67-2.179)
Extramedullary site
CNS and vertebral column1 (reference)1 (reference)
Bones, subcutaneous tissues, connective tissues, and soft tissues of the trunk1.53 (1.113-2.102)c1.187 (0.774-1.82)
Bones, soft tissues, subcutaneous tissues, and connective tissues of the pelvis and sacrum1.027 (0.716-1.475)1.15 (0.746-1.772)
Bones, soft tissues, subcutaneous tissues, connective tissues, and lymph nodes of the upper extremities1.036 (0.682-1.573)0.718 (0.391-1.32)
Bones, soft tissues, subcutaneous tissues, and connective tissues of the lower extremities1.668 (1.058-2.63)b1.466 (0.814-2.642)
Bones, soft tissues, subcutaneous tissues, connective tissues, and lymph nodes of the face and skull1.135 (0.756-1.702)0.919 (0.529-1.598)
Other bones, NOS1.74 (1.043-2.902)b1.887 (1.044-3.411)b
Eyes, mouth, and ENT0.929 (0.668-1.293)0.451 (0.259-0.783)c
Lung, breast, and mediastinum1.588 (0.895-2.816)1.278 (0.589-2.773)
Gastrointestinal tract0.787 (0.367-1.688)0.55 (0.174-1.745)
Skin0.241 (0.06-0.974)b0.195 (0.027-1.403)
Kidney, suprarenal glands, and retroperitoneum1.861 (0.591-5.86)0.907 (0.126-6.531)
Living area
Counties in metropolitan areas of 1 million persons 1 (reference)1 (reference)
Counties in metropolitan areas of 250000 to 1 million persons 1.021 (0.789-1.322)0.803 (0.556-1.158)
Counties in metropolitan areas of 250000 persons 0.794 (0.538-1.17)0.8 (0.482-1.327)
Nonmetropolitan counties adjacent to a metropolitan area1.099 (0.775-1.559)0.937 (0.578-1.518)
Nonmetropolitan counties not adjacent to a metropolitan area1.191 (0.798-1.779)1.105 (0.647-1.888)
Income per year
< $350001 (reference) 1 (reference)
$35000-449990.457 (0.213-0.984)b0.412 (0.167-1.014)a
$45000-549990.356 (0.17-0.745)c0.33 (0.139-0.782)b
$55000-649990.358 (0.174-0.737)c0.236 (0.101-0.554)c
$65000-749990.328 (0.158-0.681)c0.292 (0.124-0.685)c
$75000+0.259 (0.125-0.538)c0.24 (0.102-0.563)c
Marital status
Married 1 (reference)1 (reference)
Single 1.305 (0.967-1.763)a1.515 (1.027-2.236)b
Divorced/separated 1.531 (1.094-2.142)b1.681 (1.084-2.605)b
Widowed 2.107 (1.511-2.938)c2.463 (1.612-3.765)c

  • Citation: Bangolo AI, Fwelo P, Trivedi C, Sagireddy S, Aljanaahi H, Auda A, Mohamed M, Onyeka S, Fisher M, Thapa J, Tabucanon EJ, Georgiev L, Wishart A, Kumari S, Erikson C, Bangura M, Paddy O, Madhukar R, Gomez EL, Rathod J, Naria M, Hajal B, Awadhalla M, Siegel D, Parmar H, Biran N, Vesole DH, Phull P, Weissman S. Interaction between age and gender on survival outcomes in extramedullary multiple myeloma over the past two decades. World J Clin Oncol 2023; 14(4): 179-189
  • URL: https://www.wjgnet.com/2218-4333/full/v14/i4/179.htm
  • DOI: https://dx.doi.org/10.5306/wjco.v14.i4.179