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13 September 2020 : Database Analysis  

Nomogram for Predicting Breast Cancer-Specific Mortality of Elderly Women with Breast Cancer

Xunxi Lu12ABCDEF, Xiaoguang Li1ADEFG, Hong Ling12DFG, Yue Gong12ACD, Linwei Guo12ACE, Min He12DF, Hefen Sun12DG, Xin Hu12EFG*

DOI: 10.12659/MSM.925210

Med Sci Monit 2020; 26:e925210

Table 1 Patients’ demographics and baseline characteristics.

CharacteristicsAll patientsTraining cohortValidation cohort
N=25 241N=20 798N=4443
 65–7416 18364.113 34864.2283563.8
 Married21 56185.417 75985.4380285.6
 White21 88786.718 03186.7385686.8
 Other* 17637.014687.12956.6
 IDC18 32072.615 14072.8318071.6
 Other** 483619.2389718.793921.1
 II11 49145.5948745.6200445.1
 Left12 84250.910 60751.0223550.3
 Right12 39949.110 19149.0220849.7
ER status
 Positive21 10483.617 41783.7368783.0
PR status
 Positive17 84170.714 78771.7305468.7
T stage
 T117 41969.014 38669.2303368.3
N stage
 N018 67974.015 45574.3322472.6
Cause of death
 No events17 76170.415 08472.5267760.3
IDC – infiltrating ductal carcinoma; ILC – infiltrating lobular carcinoma; ER – estrogen receptor; PR – progesterone receptor; BCS – breast-conserving surgery; BCSD – breast cancer-specific death; OCSD – other cause-specific death; T – tumor stage; N – nearby lymph node stage.
* Including American Indian/Alaskan native and Pacific Islander;
** including other histology of invasive breast cancer except IDC and ILC.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750