† Without and with adjustment for BMI. Simple adjusted includes covariates for registry site (five sites), age at diagnosis (30–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, ?80 years), year of diagnosis (1996–1998, 1999–2001, 2002–2003, 2004–2005), with and without BMI (18.5 – <25, 25 – <30, ?30kg/m 2 ).
‡ Fully adjusted model includes covariates for registry (five sites), age at diagnosis (30–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, ?80 years), year of diagnosis (1996–1998, 1999–2001, 2002–2003, 2004–2005), BMI (18.5 – <25, 25 – <30, ?30kg/m 2 ), mode of detection (screen-detected, interval-detected, other screen, clinically detected, other), surgery/radiation (no breast surgery, breast conserving therapy without radiation, breast conserving therapy with radiation, other surgery), chemotherapy (yes/no), and annual median income (<$42 000, $42 000 – <$52 000, $52 000 – <$66 000, ?$66 000). Women with missing covariate information were excluded.
§ P well worth away from Wald fact to test getting an overall total perception out-of categorical BI-RADS occurrence. All statistical examination was a few-sided.
Though BI-RADS density don’t personalize danger of cancer of the breast passing when you look at the link to other pathological products, lady which have BI-RADS step 1 thickness had a tendency to have the higher exposure, in every stratum
¶ AJCC stage is roofed due to the fact an excellent categorical covariate inside the activities that have all levels combined, which have and you may in the place of phase IV.
Emergency model results for the fresh family members ranging from mammographic occurrence and chance away from cancer of the breast dying, complete and also by AJCC phase*
* AJCC = Western Joint Panel with the Cancer tumors; BI-RADS = Breast Imaging Revealing and you may Study System; Bmi = body mass index; CI = believe period; Hr = risk proportion. Letter = 96 people excluded regarding bring about-specific patterns.
† Without and with adjustment for BMI. Simple adjusted includes covariates for registry site (five sites), age at diagnosis (30–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, ?80 years), year of diagnosis (1996–1998, 1999–2001, 2002–2003, 2004–2005), with and without BMI (18.5 – <25, 25 – <30, ?30kg/m 2 ).
‡ Fully adjusted model includes covariates for registry (five sites), age at diagnosis (30–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, ?80 years), year of diagnosis (1996–1998, 1999–2001, 2002–2003, 2004–2005), BMI (18.5 – <25, 25 – <30, ?30kg/m 2 ), mode of detection (screen-detected, interval-detected, other screen, clinically detected, other), surgery/radiation (no breast surgery, breast conserving therapy without radiation, breast conserving therapy with radiation, other surgery), chemotherapy (yes/no), and annual median income (<$42 000, $42 000 – <$52 000, $52 000 – <$66 000, ?$66 000). Women with missing covariate information were excluded.
§ P well worth off Wald fact to check on for an overall total perception out-of categorical BI-RADS density. All of the analytical tests was in fact a couple-sided.
Even if BI-RADS thickness don’t personalize likelihood of breast cancer passing in the relationship to almost every other przykÅ‚ady profili date me pathological things, ladies that have BI-RADS 1 density had a tendency to have the large exposure, in every stratum
¶ AJCC stage is included as the a categorical covariate during the activities that have all values joint, having and as opposed to stage IV.
Among ladies which have tumors with a minimum of 2.0cm, BI-RADS step 1 occurrence is actually with the a heightened risk of nipple cancer passing (Hours = step one.55, 95% CI = step one.fourteen to dos.09; P = .003 having full aftereffect of BI-RADS occurrence; Dining table cuatro). Ladies who had each other BI-RADS step 1 density and high-degree cancers had an elevated likelihood of breast cancer dying (Hour = step 1.forty five, 95% CI = step 1.05 to 2.02; P = .13 having complete effectation of thickness).
Survival model outcomes for brand new loved ones anywhere between mammographic density and you may chance off breast cancer death, stratified by tumor functions, AJCC levels We–IV mutual*
* N = 96 women excluded from cause-specific models. Fully adjusted model includes covariates for AJCC stage (I, IIA, IIB, III, IV), registry (five sites), age at diagnosis (30–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, ?80 years), year of diagnosis (1996–1998, 1999–2001, 2002–2003, 2004–2005), body mass index (18.5 – <25, 25 – <30, ?30kg/m 2 ), mode of detection (screen-detected, interval-detected, other screen, clinically detected, other), surgery/radiation (no breast surgery, breast conserving therapy without radiation, breast conserving therapy with radiation, other surgery), chemotherapy (yes/no), and annual median income (<$42 000, $42 000 – <$52 000, $52 000 – <$66 000, ?$66 000). Women with missing covariate information were excluded. AJCC = American Joint Committee on Cancer; BI-RADS = Breast Imaging Reporting and Data System; CI = confidence interval; ER = estrogen receptor; HR = hazard ratio; PR = progesterone receptor.
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