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. 2017 Jun;48:140–146. doi: 10.1016/j.canep.2017.04.010

Table 2.

Descriptive statistics of the patient interval (n = 1878a and primary care interval (n = 2194a) in symptomatic women with breast cancer. Quantile regression modelling output is presented in the Supplementary material.

Symptom group Median (IQR) 90th P-value % women >90 days
(95% CI)
Patient Intervala
All women 7 (1–28) 80 9% (8–10%)
Breast lump only 7 (1–24) 66 <0.001b 7% (6–9%)
Non-lump only 12 (2–46) 126 15% (11–20%)
Lump and non-lump 14 (3–54) 276 20% (14–29%)
Non-breast symptoms 4 (0–18) 59 6% (2–12%)
White 7 (1–28) 80 0.509c 9% (8–10%)
Non-white 6 (0–30) 78 8% (5–14%)
<50 years 7 (1–27) 66 0.148c 7% (5–10%)
50–69 years 7 (1–25) 72 8% (6–10%)
70+ years 7 (1–31) 92 11% (9–13%)



Primary Care Intervala
All women 0 (0–1) 7 2% (1–2%)
Breast lump only 0 (0–0) 2 <0.001b 1% (1–2%)
Non-lump only 0 (0–1) 21 1% (0.4–4%)
Lump and non-lump 0 (0–1) 18 4% (2–8%)
Non-breast symptoms 7 (0–34) 105 10% (6–17%)
White 0 (0–1) 7 0.620c 2% (1–2%)
Non-white 0 (0–0) 10 1% (0.3–5%)
<50 years 0 (0–1) 15 0.016c 3% (2–5%)
50–69 years 0 (0–0) 4 1% (1–2%)
70+ years 0 (0–1) 3 1% (1–2%)

Bold denotes p < 0.05.

a

K19% and 5% of women had missing information on the patient interval and the primary care interval respectively.

b

Kruskal-Wallis tests.

c

Chi-squared tests.