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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 3 Proportional subdistribution hazard model of probabilities of BCSD for patients in the training cohort.

CharacteristicsCoefficientsdHR (95% CI)P-value
 75+0.3601.43 (1.30–1.58)
 Married−0.3140.73 (0.65–0.82)
 Black0.4821.62 (1.38–1.90)
 Other* −0.1080.90 (0.74–1.09)0.280
 ILC0.1001.11 (0.94–1.29)0.210
 Other** −0.3320.72 (0.63–0.82)
 II1.0302.80 (2.33–3.37)
 III/IV1.9807.25 (6.07–8.66)
ER status
 Positive−1.1070.33 (0.20–0.37)
PR status
 Positive−0.9690.38 (0.35–0.42)
T stage
 T21.3833.99 (3.59–4.43)
 T32.1308.41 (7.14–9.91)
 T42.50612.30 (10.20–14.70)
N stage
 N11.2453.47 (3.11–3.88)
 N21.4724.36 (3.83–4.96)
 N31.5894.90 (4.30–5.58)
 Mastectomy1.0352.81 (2.56–3.1)
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; HR – subdistribution hazard ratio; CI – confidence interval; 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