Survival https://datingranking.net/pl/grindr-recenzja/ design results for the fresh family between mammographic density and you can exposure from breast cancer passing, stratified by cyst functions, AJCC amounts We–IV combined*
* 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 regarding Wald figure to check on having an overall total aftereffect of categorical BI-RADS thickness. Most of the statistical assessment have been a few-sided.
Letter = 96 girls omitted regarding end in-specific habits
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 discovered a statistically significant correspondence anywhere between Body mass index and you will BI-RADS thickness regarding breast cancer death (P to own interaction =
* BI-RADS, Breast Imaging Reporting and you may Data Program; Body mass index, body mass index; CI, trust period; Hr, threat ratio. Every cancers: Body mass index ? occurrence communication, 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 of Wald statistic to check getting a complete impression off categorical BI-RADS thickness. Most of the statistical evaluating was indeed a couple-sided.
We located a mathematically extreme communications anywhere between Body mass index and you may BI-RADS density with respect to breast cancer passing (P getting telecommunications =
* BI-RADS, Nipple Imaging Reporting and you may Data Program; Body mass index, bmi; CI, rely on period; Hr, issues proportion. All tumors: Bmi ? density 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.