Cristonautas.com Cristonautas
† 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) love ru, 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 worthy of from Wald statistic to evaluate having an overall total effect from categorical BI-RADS density. All the mathematical screening was basically several-sided.
Even when BI-RADS thickness don’t modify chance of breast cancer demise for the link to almost every other pathological activities, people which have BI-RADS step one occurrence tended to have the highest exposure, in virtually any stratum
¶ AJCC phase is roofed because the a great categorical covariate when you look at the models with most of the grade shared, which have and you will versus phase IV.
Success model outcomes for the fresh loved ones ranging from mammographic thickness and you will chance from cancer of the breast passing, total and also by AJCC phase*
* AJCC = American Shared Panel with the Disease; BI-RADS = Breast Imaging Revealing and you will Studies Program; Bmi = bmi; CI = count on interval; Hr = threat proportion. N = 96 people omitted from the 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 worth away from Wald fact to evaluate getting an overall total impression of categorical BI-RADS occurrence. The analytical evaluation was in fact several-sided.
No matter if BI-RADS thickness don’t customize likelihood of cancer of the breast demise inside link to most other pathological items, female which have BI-RADS step one density tended to have the high risk, in almost any stratum
¶ AJCC phase is included as the good categorical covariate inside designs which have most of the values shared, which have and you will versus stage IV.
Certainly one of ladies having tumors with a minimum of 2.0cm, BI-RADS step one occurrence try of an elevated risk of nipple malignant tumors death (Hours = step one.55, 95% CI = step one.fourteen to dos.09; P = .003 to own full aftereffect of BI-RADS occurrence; Desk cuatro). Women that got each other BI-RADS step 1 occurrence and you can large-degree tumors had a greater threat of breast cancer passing (Hours = 1.forty-five, 95% CI = 1.05 to dos.02; P = .thirteen to own total effectation of occurrence).
Endurance model results for new family between mammographic thickness and you can risk out-of breast cancer dying, stratified from the cyst features, AJCC stages I–IV joint*
* 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.
