Success model outcomes for the brand new relatives between mammographic thickness and you may chance from cancer of the breast passing, stratified by cyst characteristics, AJCC amounts I–IV joint*
* 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.
† P-really worth off Wald statistic to check on to possess a complete effectation of categorical BI-RADS thickness. All mathematical testing was indeed one or two-sided.
N = 96 girls excluded away from lead to-particular patterns
007); specifically, elevated risk associated with having almost entirely fatty breasts was apparent for obese women (BMI ?30kg/m 2 , HR = 2.02, 95% CI = 1.37 to 2.97) but not overweight (BMI 25 – <30kg/m 2 , HR = 0.70, 95% CI = 0.40 to 1.23) or lean (BMI 18.5 – <25kg/m 2 , HR = 1.27, 95% CI = 0.74 to 2.17) women. To determine whether this association was being driven by a subgroup of women who were morbidly obese (BMI ?40kg/m 2 ), we conducted post hoc analyses after excluding 313 morbidly obese women, of whom 47 died of breast cancer. In BMI-stratified results, the elevated risk associated with having almost entirely fatty breasts remained apparent for obese women (BMI 30 – <40kg/m 2 , HR = 1.68, 95% CI = 1.07 to 2.63), and the interaction between breast density and BMI was still statistically significant (P = .01).
I receive a statistically high correspondence anywhere between Bmi and BI-RADS density with regards to cancer of the breast dying (P for correspondence =
* BI-RADS, Breast Imaging Revealing and Investigation Program; Bmi, bmi; CI, rely on period; Time, possibility proportion. The cancers: Bmi ? thickness interaction, P = .007.
† Fully adjusted model includes covariates for American Joint Committee on Cancer 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), 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 really worth out of Wald statistic to evaluate to have an overall total impression regarding categorical BI-RADS density. All statistical screening had been several-sided.
We discovered a statistically significant correspondence anywhere between Bmi and you will BI-RADS density regarding breast cancer dying (P to possess interaction =
* BI-RADS, https://datingranking.net/pl/hater-recenzja/ Breast Imaging Revealing and you will Study System; Bmi, bmi; CI, confidence interval; Hours, threat ratio. Most of the cancers: Body mass index ? thickness communications, P = .007.
† Fully adjusted model includes covariates for American Joint Committee on Cancer 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), 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.
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