ライフサイエンスコーパス: race

1 human kidneys as a function of age, sex, and race.

2 gain an advantage in this evolutionary arms race.

3 h disparities have not been well examined by race.

4 ed scientists to start an antimicrobial arms race.

5 cted in each domestication and ecogeographic race.

6 wever, network size did not differ by sex or race.

7 HDL-C after the adjustment for age, sex, and race.

8 t underlying sociocultural factors, not just race.

9 ke and physical outcomes may vary by sex and race.

10 -16, 41% were females, and 68% were of White race.

11 % (n=280) female at birth; 73% (n=763) white race.

12 all institutions and by sex, ethnicity, and race.

13 e circulation differs by kidney function and race.

14 redictors of OA such as age, gender, BMI and race.

15 es were conducted using income quartiles and race.

16 plied to language, publication year, sex, or race.

17 learance is reduced in CKD and may differ by race.

18 subgroups based on NYHA functional class and race.

19 over time, perhaps differentially by sex and race.

20 d if central corneal thickness is related to race.

21 income, inequality, poverty, education, and race.

22 dney transplant candidates compared to other races.

23 , 0.23 [95% CI, 0.11-0.47]; P interaction by race, 0.001).

24 ance gene Rps1k, rendered it compatible with race 1 P. sojae, whereas overexpressing GmMYB29A2 render

25 n Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4) reduced the FSA production, and resulte

26 ; 33% female; 75% White, 20% Black, 5% other race), 9% developed AKI overall (14% of Black, 8% of Whi

27 tly associated with PD in single-risk factor race-adjusted analyses (conditional odds ratio [cOR] = 2

28 Race, age, and sex affected some outcomes.

29 We included participant's race, age, sex, and the presence of preoperative apical

30 ong females exposed to OAT included nonwhite race (aHR, 1.79 [95% CI, 1.25-2.56]; P = .001), unstable

31 ariable linear regression included age, sex, race, AHRQ socioeconomic index, Charlson comorbidity, Fr

32 ); however, there was no interaction between race and baseline eGFR on odds for incident AKI (P value

33 history of autoimmune disease, adjusting for race and body mass index.

34 ng to neighborhood and was adjusted for age, race and ethnic group, and ownership of long guns (i.e.,

35 of ethnicity; that authors consider not just race and ethnicity but many social determinants of healt

36 f health, including experienced racism; that race and ethnicity not be conflated; that dietary patter

37 rch is warranted to understand the effect of race and ethnicity on anti-VEGF efficacy to ensure optim

38 Nonetheless, there have been calls for race and ethnicity to be included as risk-adjusted varia

39 r prespecified strata (age, sex, region, and race and ethnicity).

40 of change of baseline risk over time across race and ethnicity, even though the distribution of risk

41 Race and ethnicity, obesity status, cancer type, type of

42 ogical characters for assigning specimens to race and found that seed features were particularly info

43 reased adherence was observed with non-white race and increased distance to the eye clinic.

44 an association between self-identified black race and progression from AD to asthma.

45 was used to examine the association between race and rehospitalization according to plasma renin act

46 11 and 2018 and to investigate the effect of race and sex on postoperative outcomes after CABG.

47 ate the association between mRALE scores and race and/or ethnicity.

48 ided them into four groups regarding patient races and cancer grades.

49 CC compared to 373 HCC patients of different races and ethnicities and diverse etiologies.

50 lar disease (CVD) affects individuals of all races and ethnicities; however, its prevalence is highes

51 adian function for young adults of differing races and sexes.

52 is involved in host-virus evolutionary arms races and suggests that BST-2 antagonists exist in some

53 al/d; P < 0.001), with no difference between races and was positively correlated with fat-mass loss,

54 y developed equations for AEX (by gender and race), and found that the ANN models led to the most acc

55 OR, 2.2; 95% CI, 1.3-3.7 compared with white race), and more recent entry to care (since 2005 compare

56 y matched 583 controls on cohort (sex), age, race, and blood draw date/time.

57 h special focus on subgroups defined by sex, race, and ejection fraction.

58 After adjustment for age, sex, race, and estimated blood volume, lower eGFR was associa

59 After adjusting for age, race, and gender, the OR comparing the odds of each neur

60 er, and heroin injection overall and by age, race, and geographic region.

61 We found that adjusting for age, race, and Hispanic ethnicity altered the evaluation: 8 O

62 ents with asthma, male sex, African American race, and history of diabetes mellitus were associated w

63 Although male sex, Black race, and older age associated with development of AKI,

64 dds ratios (aORs) after controlling for age, race, and sex in multivariate analysis (asthma aOR = 2.6

65 ed that fractionated total body irradiation, race, and use of cytarabine significantly increased the

66 nt differences were observed related to sex, race, and use of ICS.Conclusions: Higher expression of A

67 discrimination, and can be used to quantify race- and sex-specific T2D risk, providing a new, powerf

68 infection (aOR, 1.9; 95% CI, 1.1-3.4), black race (aOR, 2.2; 95% CI, 1.3-3.7 compared with white race

69 Sex and race are common factors contributing to disparities in h

70 Host-virus arms races are inherently asymmetric; viruses evolve much mor

71 r time were modeled, adjusting for age, sex, race, atopy, group, and bronchodilator reversibility and

72 No sex- or race-based CAC interactions for ASCVD, CHD, and stroke e

73 xample, we analyzed economic implications of race-based metrics widely used in occupational epidemiol

74 hese studies highlight an ever-evolving arms race between antiviral factors and viral pathogens and p

75 replication, revealing an evolutionary arms race between flaviviruses and their hosts.

76 overall dynamics of the coevolutionary arms race between newts and snakes.

77 The co-evolutionary arms race between predators and their prey has led to complex

78 f kinetic differences between the sexes in a race between the maturation of the PAR structure, format

79 Single-trait eco-evolutionary models of arms races between consumers and their resource species often

80 how anthropogenic changes could affect arms races between human-managed hosts and their pathogens to

81 lds for sarcopenia demonstrated that age and race bias were not present if z scores derived from the

82 We examined the association of self-reported race (Black, White, or other) and baseline eGFR with AKI

83 ents seen between 2010 and 2019 of White (W) race, Black (B) race, or Hispanic (H) ethnicity aged 18

84 .0; P = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities.

85 .04), but showed no association with gender, race, body mass index, use of spectacles or contact lens

86 Race-by-IAAT interaction was not significant (P = 0.65).

87 nvolving multiple traits, we found that arms races can promote diversification when trade-off costs a

88 se of the chemotherapy block) with age, sex, race, cancer type, acute-phase duration, and antiemetic

89 ody imaging even in very extreme conditions (race car driving) to study the sensory inputs, motor out

90 subgroups defined by ejection fraction, sex, race, cause of cardiomyopathy, presence/absence of impla

91 Patient age, race, cause of ESKD, and mean monthly dialysis duration

92 course of P2Y(12) inhibitor treatment, white race, commercial insurance, and higher out-of-pocket med

93 54.5%; P=0.0005) after controlling for sex, race, comorbidity, and cluster.

94 els adjusted for potential confounders (age, race, country of birth, total people per household, US r

95 w York City-based health system by age, sex, race, county of residence, and prior PCR-confirmed viral

96 Analyses by participant race demonstrated higher likelihood of screened donors a

97 ar disparities between racial groups, within-race determinants of cardiovascular health among Black a

98 riable models were adjusted for age, gender, race, diagnosis, central corneal thickness, follow-up ti

99 A secondary aim was to investigate race differences in metabolic adaptation after weight lo

100 -sum and Pearson chi-square tests to examine race differences in the baseline characteristics.

101 essel and cardiovascular disease on observed race differences.

102 A co-evolutionary arms-race drives the pathogen to constantly reinvent its effe

103 Female pigs (n = 12, Cross of Land Race, Duroc, and Yorkshire ~ 60 kg).

104 evolving bacterial host defenses; such arms race dynamics should lead to divergence between phages f

105 There were no significant race effects for amyloid, tau, or rs-fc signature.

106 Our findings suggest that sex and race effects should be considered in future treatment re

107 visual acuity impairment among all ages and races, especially among minorities.

108 cal significance were present within sex and race/ethnic groups.

109 alization for acute heart failure than other race/ethnic groups.

110 tress is thought to contribute to widespread race/ethnic health inequities via negative emotion and a

111 of HF hospitalization has improved for other race/ethnic minorities, the disparity in HF hospitalizat

112 ng from CHD significantly declined among all races/ethnicities studied, although disparities in morta

113 likely to transition to a fistula, and other races/ethnicities were significantly more likely to tran

114 nd worse visual acuity compared to all other races/ethnicities.

115 ) and report NO(2) disparities separately by race ethnicity (11-32%) and poverty status (15-28%).

116 ographic information, including age, gender, race, ethnicity, affected eye, subtype, stalk origin, co

117 ct and publicize data on grantees by gender, race, ethnicity, and location from neuroscience funding

118 SES have identified disparities according to race, ethnicity, and SES.

119 n presence of incidental findings and sex or race/ethnicity among either cohort, and no correlation w

120 nsion (PAH).Objectives: Determine effects of race/ethnicity and ancestry on mortality and disease out

121 e used to determine the relationship between race/ethnicity and annual costs of care, all-cause hospi

122 a regression analysis alongside age, gender, race/ethnicity and body mass index, the area under the c

123 sachusetts, there was no association between race/ethnicity and clinically relevant hospitalization o

124 2.53, 38.31); a test of interaction between race/ethnicity and cord UMFA concentrations was signific

125 econd-treated eyes by visual acuity (VA) and race/ethnicity and correlations between volumes.

126 performed to assess the relationship between race/ethnicity and each outcome adjusting for difference

127 y may partly mediate the association between race/ethnicity and fetal growth restriction.

128 We evaluated associations between race/ethnicity and receipt of COVID-19 testing, a positi

129 n incident hemodialysis patients how sex and race/ethnicity are associated with time on a central ven

130 observations of hospitalization outcomes by race/ethnicity are limited.

131 significantly by HIV status by age, sex, or race/ethnicity due to the matching algorithm.

132 All analyses were stratified by race/ethnicity in the main analysis, and further by sex.

133 Race/ethnicity is associated with intrauterine growth re

134 Accurate reporting of race/ethnicity is encouraged to address race-specific ri

135 Sex, age, and race/ethnicity varied across preventability categories (

136 n-Hispanic black (versus non-Hispanic white) race/ethnicity was associated with higher risk for cardi

137 Maternal race/ethnicity was associated with significant differenc

138 White patients as well as patients of mixed race/ethnicity within a New York City health system.

139 and disadvantage separately (ICE-income, ICE-race/ethnicity) and in combination (ICE-income + race/et

140 485 controls (pair-matched on BMI, age, and race/ethnicity) to discover metabolites associated with

141 /ethnicity) and in combination (ICE-income + race/ethnicity).

142 regarding COVID-19 that varied by physician race/ethnicity, acknowledgment of racism/inequality, and

143 ted death, and rates and proportions by sex, race/ethnicity, and birth year.

144 ncluded studies did not report participants' race/ethnicity, and half of the remaining study samples

145 site adjusting for calendar year, age, sex, race/ethnicity, and HIV transmission risk factor, estima

146 ge: 33 years), of white (60%) or black (20%) race/ethnicity, and of normal pre-pregnancy BMI (median

147 ends, with covariates including age, gender, race/ethnicity, and primary insurance.

148 y attributable to and related to CHD by age, race/ethnicity, and sex.

149 culate annual CHD mortality by age at death, race/ethnicity, and sex.

150 djustment for year of colonoscopy, age, sex, race/ethnicity, and smoking history.

151 Older patients, those of minority race/ethnicity, and those with uncontrolled HIV experien

152 ral poverty level, after accounting for age, race/ethnicity, and year.

153 raphic characteristics such as age, sex, and race/ethnicity, as well as by social factors including s

154 n PFAS levels in association with a mother's race/ethnicity, as well as potential effects on pregnanc

155 r BLLs were associated with older age, other race/ethnicity, birthplace outside the United States, fo

156 ent according to categories of baseline age, race/ethnicity, body mass index, physical activity, phys

157 re assessed and compared by patient-reported race/ethnicity, classified as White, Black, Latinx, Asia

158 al interventions" vs "full treatment"), age, race/ethnicity, education, days from POLST completion to

159 Controlling for age, race/ethnicity, education, income, smoking, alcohol, men

160 s, we compared sex, age group, birth cohort, race/ethnicity, health insurance coverage, and hepatitis

161 After adjustment for significant covariates (race/ethnicity, malignant disease, graft, and graft-vers

162 rgeon suicide include Asian/Pacific Islander race/ethnicity, older age, history of mental disorder, a

163 rettes consumed, adjusting for maternal age, race/ethnicity, parity, education levels, prepregnancy B

164 Structural determinants included race/ethnicity, poverty, insurance status, education, po

165 that risk factors for lead exposure include race/ethnicity, poverty, Medicaid enrollment, housing bu

166 scientific community (i.e., those of gender, race/ethnicity, socioeconomic background, sexual orienta

167 n based on sex and common classifications of race/ethnicity, socioeconomic status and geographical re

168 (APCs) in rates were estimated by age, sex, race/ethnicity, state, and region.

169 When stratified by race/ethnicity, the association was limited to 311 (45 A

170 and poverty level, overall and stratified by race/ethnicity, were used to calculate adjusted prevalen

171 Overall, sex- and race/ethnicity-specific PAFs and 95% CIs were estimated.

172 disparities in HF outcomes persist based on race/ethnicity.

173 r of micropore lifetime than self-identified race/ethnicity.

174 ed in cases where outcomes did not differ by race/ethnicity.

175 ttle difference in the proportion with AF by race/ethnicity.

176 ulated by year, 10-year age groups, sex, and race/ethnicity.

177 requirements, including variation by age and race/ethnicity.

178 ildren from the United Kingdom of comparable race/ethnicity.

179 ltimore-Washington, DC area by self-reported race/ethnicity.

180 iated morbidity and in-hospital mortality by race/ethnicity.

181 tile classifications adjusting for age; sex; race/ethnicity; education; diet; smoking status; body ma

182 tions in running across various training and racing events under real-world conditions.

183 y is an important factor in reducing the own race face effect.

184 roup contact on processing of own- and other-race faces using functional Magnetic Resonance Imaging (

185 h emergency which calls for an unprecedented race for vaccines and treatment.

186 en with AMI-CS were more frequently of Black race, from a lower socioeconomic status, with higher com

187 Race, gender, and corticosteroids apparently did not inf

188 onal preoperative factors examined were age, race, gender, laterality, insulin use, hemoglobin A1c, c

189 range of personal characteristics, including race, gender, socioeconomic background, sexual orientati

190 s the temporal trends in 30-day mortality by race group for patients undergoing coronary artery bypas

191 creasing CAC score categories across sex and race groups, and CAC was consistently a better predictor

192 esent in the lower income quartiles and both race groups.

193 ly associated with ASCVD risk across sex and race groups.

194 Other risk factors included race (hazard ratio for Asians vs. Whites, 4.84; 95% CI,

195 ion models adjusting for confounding by age, race, health care coverage, housing, and poverty level,

196 erence values for AEX, based on age, gender, race, height and weight, and by using artificial neural

197 Clinical variables, including age, gender, race, hemoglobin A1C levels, blood pressure, cholesterol

198 ly LBL found interactions of haplotypes with race (Hispanic).

199 Men and women in each race/Hispanic-origin group were then separated into high

200 ignificantly (P <0.01) influenced by age and race; however, the IQR of protein intake was not associa

201 ion or PSC-related death compared with white race (HR, 2.05; P < .001), whereas female sex was associ

202 In the multivariate analysis, non-White race (HR, 8.75; P = 0.0002) and longer axial length (HR,

203 ors for AKI-RRT included CKD, men, non-White race, hypertension, diabetes mellitus, higher body mass

204 Members who did not report race, identified with a specific racial/ethnic minority,

205 erefore, it is important to consider sex and race in future studies regarding protein needs in older

206 ion is CMS's proposal not to adjust risk for race in their OPO outcome.

207 ver, the extensive overlap between botanical races in multivariate trait space indicates that the phe

208 iations in 3-year survival between different races in Namibia (from 90% in white women to 56% in Blac

209 graphic and lifestyle factors including sex, race, income, physical activity, and body weight.

210 In multivariable analyses, black race, increasing age, a higher score on the Charlson Com

211 rson, but the Black academic's experience of race inside and outside of the academy during a time of

212 Cases and controls were matched 1:1 on age, race, insurance, income, state, and visit year.

213 beta = 0.22, 95% CI: -0.62, 1.05, and MCS x race interaction, beta = 0.18; 95% CI: -0.08, 0.44).

214 white) persons (PCS x race interaction, beta = 0.22, 95% CI: -0.62, 1.05, and

215 Bridged-race, intercensal population data and live birth estimat

216 In contrast, modelling arms races involving multiple traits, we found that arms race

217 w grade, the survival stratification between races is not significant in most geographical areas; and

218 analysis indicated that delirium, non-White race, lower education, and civilian hospitals (as oppose

219 S thalassemia) genotypes, and their age- and race-matched controls, were recruited between January 20

220 ent protocols based on patient ethnicity and race may be necessary.

221 FLD was associated with non-black race, metabolic risks, an increased atherogenic lipid pr

222 at diagnosis demonstrated that neither Black race nor Hispanic ethnicity increased the chance of meta

223 Models included adjustment for race, obesity, tobacco use, hypertension (HTN), atrial f

224 x and alcohol use, white and other vs. black race (odds ratio [OR]=8.49 and OR=16.54, respectively, P

225 After adjusting for age, sex and race, odds ratio of inflammatory polyps in IBD patients

226 SuSr-D1 mutants are resistant to several races of stem rust that are virulent on wild-type plants

227 with eGFR <90 mL/min/1.73 m2 included white race, older age, higher body mass index, high-income reg

228 re Hispanic, and 52 were Asian or of another race or ethnic group).

229 om 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian

230 horts, after adjustment for graduation year, race or ethnic group, and department type, women assista

231 nic White, and 3.7% were of other or unknown race or ethnic group.

232 mages, study participant metadata (including race or ethnicity, age, sex and blood pressure) or the c

233 for multiple confounding factors (age, sex, race or ethnicity, body-mass index, underlying cardiovas

234 cost included older age, female gender, and race or ethnicity.

235 (aOR, 1.78 [1.38-2.30]), patients of unknown race or race other than white, black, or Hispanic (aOR,

236 95% CI, 1.24-1.74, P < 0.001) and non-White race (OR, 1.72, 95% CI, 1.27-2.39, P < 0.001).

237 n 2010 and 2019 of White (W) race, Black (B) race, or Hispanic (H) ethnicity aged 18 years and older

238 78 [1.38-2.30]), patients of unknown race or race other than white, black, or Hispanic (aOR, 1.97 [1.

239 he differences of EOGBS and LOGBS disease by race over the past decade in Tennessee.

240 association between diagnosis and ethnicity/race (P < 0.001), with PCG more frequent in nonwhite pat

241 r, there were differences in age (P = .050), race (P = .039), axial length (P = .033), and retinal ne

242 EST libraries for OSC fragments to use in a RACE PCR-based approach and cloned three full-length OSC

243 post-surgery, with adjustment for sex, age, race, pre-surgery body mass index, the respective pre-su

244 (matching variables: transplant age, gender, race, pretransplant dialysis, transplant center, and yea

245 ed 528 adult ESRD patients of black or white race referred for evaluation to a Georgia transplant cen

246 The OlympiAD study was not powered to detect race-related differences between treatment groups; howev

247 Although prior studies document race-related stress and health correlations, due to meth

248 e survival (RS) calculated based on staging, race, sex, and Appalachian residence.

249 analysis, social determinants including age, race, sex, and education predicted the MELD at delisting

250 These disparities vary by race, sex, sexual orientation, and gender identity.

251 Calibration was fair in all race-sex subgroups (chi(2)<20).

252 al biomarkers, with similar findings in each race/sex subgroup.

253 By contrast, race SG4z overcomes B301 resistance and successfully par

254 ortional regression models adjusted for age, race, smoking, diet, alcohol, physical activity, menopau

255 (n = 1,548) at Y7 were associated with black race, smoking, hypertension, and higher body mass index.

256 ions to Prevent HF tool to calculate sex and race-specific 5-year HF risk estimates.

257 for respiratory injury is determined using a race-specific algorithm.

258 Selective use of race-specific algorithms for workers' compensation reduc

259 We examined the shape of sex- and race-specific associations of dietary protein intake wit

260 ication of stem rust resistance gene Sr60, a race-specific gene from diploid wheat Triticum monococcu

261 simultaneously, were used to investigate the race-specific independent and joint associations of 25(O

262 g those without insomnia symptoms at time 1, race-specific job discrimination was associated with 37%

263 To understand whether breast tissue harbors race-specific microbiota, we performed 16S rRNA gene-bas

264 azard ratios of dementia by LC-SES scores in race-specific models.

265 These findings suggest a race-specific pathophysiology of insulin resistance, whi

266 all guideline-issuing bodies fail to provide race-specific recommendations, despite often acknowledgi

267 rganizations to identify the availability of race-specific recommendations.

268 However, ancestry- or race-specific reference panels may be needed to draw cor

269 g of race/ethnicity is encouraged to address race-specific risk factors.

270 A novel sex- and race-specific risk score predicts incident HF in a real-

271 unset, when a 'veil of darkness' masks one's race, suggesting bias in stop decisions.

272 noxide predicted, age, sex, body mass index, race, surgical approach, smoking status, Zubrod and Amer

273 h higher FGF23 levels were more likely White race, taking antihypertensive medications, and had lower

274 ve pressure suggesting a coevolutionary arms race that shapes both ectoparasites and vertebrate hosts

275 unleashed a second dynamic: selfish X-Y arms races that reshaped the sex chromosomes in mammals as di

276 We corroborate this information "arms race" theory with field data recording plant-VOC associa

277 In the mid-1970s, an intense race to identify endogenous substances that activated th

278 entially the fastest available option in the race to identify safe and efficacious drugs that can be

279 ipliers by age group, types of kin loss, and race to illuminate prospective disparities.

280 posed catalyst for this expansion is an arms race to silence transposable elements yet it remains poo

281 The research community is in a race to understand the molecular mechanisms of severe ac

282 hile he drove a sports car on the "Top Gear" race track under extreme conditions (high speed, low vis

283 levels based on the average swim times over race types (heat, semifinal, and final) per individual f

284 In the incessant host-parasite arms race, viruses evolved multiple anti-defense mechanisms i

285 rtional odds regression analysis showed that race was a statistically significant predictor of 90-day

286 m AD to IgE-mediated food allergy, and white race was associated with progression from AD to AR.

287 Conversely, Asian or Pacific Islander race was associated with progression from AD to IgE-medi

288 Controlling for BSD risk status, sex and race were significant predictors of objective and self-r

289 multiplicative interactions of CAC with sex/race were tested.

290 ferences between treatment groups, including race (White: trabeculectomy 61.8%, tube 44.9%; Black: tr

291 Patients were stratified by race: White and Black.

292 Patients with sepsis regardless of race who were treated in disproportionately high minorit

293 r time by SWAD/STAY group, adjusted for age, race, WIHS site, education, income, smoking status, and

294 oevolution predicts that coevolutionary arms races will vary over time and space because of the diver

295 distance-running performance, many athletes race with carbon fiber plates embedded in their shoe sol

296 ternal mortality when birthing mothers share race with their physician.

297 ons between higher body mass index and black race with worse GLS.

298 rast, have been engaged in evolutionary arms races with their predators for more than 100 million yea

299 tabolic recovery of athletes after endurance races without the utilisation of recovery modalities.

300 omen) and in South Africa (from 76% in mixed-race women to 59% in Black women), and between different

301 Higher viral load, White race, younger age, and higher severity score were indepe