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Table 4 Factors influencing the overall survival of breast cancer patients with second primary malignancy by multivariate Cox regression model

From: Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China

Variables

OSa

OS: SPMb

B

HR (95% CI)

p

B

HR (95% CI)

p

Age at BC diagnosis (years)

 ≥ 56 versus < 56

–c

–c

0.324

0.57

1.80 (1.10–2.83)

0.019

TNM stage of SPM

I + II (ref)

      

III + IV

1.54

4.68 (2.14–10.25)

 < 0.001

1.80

6.05 (2.76–13.26)

 < 0.001

Unclassified

1.47

4.34 (2.06–9.16)

 < 0.001

1.55

4.71 (2.25–9.89)

 < 0.001

Surgery for SPM

Yes versus No

− 0.51

0.60 (0.36–1.00)

0.048

− 0.55

0.58 (0.35–0.95)

0.029

SPM sites

Other sites (ref)

      

Colon and rectum

− 0.72

0.49 (0.25–0.98)

0.043

− 0.84

0.43 (0.22–0.83)

0.012

Thyroid

− 2.50

0.08 (0.01–0.61)

0.014

− 2.63

0.07 (0.01–0.53)

0.010

Latency (years)

 > 5 versus ≤ 5

− 6.47

0.002 (0–0.05)

 < 0.001

–c

–c

0.225

Latency × Timed

0.07

1.07 (1.02–1.12)

0.003

–

–

–

  1. Bold means statistic significance
  2. BC breast cancer, TNM tumour node metastasis, SPM second primary malignancy
  3. aSurvival time from BC diagnosis
  4. bSurvival time from SPM diagnosis
  5. cCoefficient and HR estimates were not available because the variable was excluded from the model
  6. dLatency was transformed into a time-varying covariate to assess the survival time from BC diagnosis
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BMC Women's Health

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