ライフサイエンスコーパス: adjustment for age

1 th trials combined (P < 0.01 with or without adjustment for age).

2 manifest Parkinson's disease, p=0.01), after adjustment for age.

3 risk of CNV and macular atrophy, even after adjustment for age.

4 t this association was not significant after adjustment for age.

5 gnificant association with incident HF after adjustment for age.

6 erences in mortality became attenuated after adjustment for age.

7 1,000 person-years), which disappeared after adjustment for age.

8 n group; 6) minimum 1-year follow-up; and 7) adjustment for age.

9 After adjustment for age, 5-year cumulative incidences of HCC

10 After adjustment for age, a significant inverse trend of LTL w

11 ays (-5.3 days; 95% CI, -7.7 to -3.0), after adjustment for age, academic degree, specialty, and numb

12 After adjustment for age, admission diagnosis, index revascula

13 After adjustment for age and a disadvantage of ASCT after the

14 utcome in this context, still observed after adjustment for age and after censoring patients who rece

15 With adjustment for age and alcohol use, blacks had increased

16 revalence ratio for metabolic syndrome after adjustment for age and BMI (P < 0.05).

17 n females compared with males and, following adjustment for age and body size, these differences beca

18 nctional capacity remained significant after adjustment for age and CAG repeat count.

19 sess changes from baseline, with and without adjustment for age and CAG repeat count.

20 47 cases/1000 people [95% CI, 15-78]) after adjustment for age and center.

21 After adjustment for age and comorbidities, mortality was not

22 After adjustment for age and comorbidities, procedural complic

23 ction and if an increased risk remains after adjustment for age and comorbidities.

24 +/- 5.6 mumol/L, respectively) was NS after adjustment for age and creatinine (P = 0.455).

25 The difference was reduced after adjustment for age and cycle-threshold value (adjusted r

26 After adjustment for age and date of blood draw, race, and bod

27 After adjustment for age and educational level, there was no d

28 sus 12.11 micromol/l/h, P = 0.036) and after adjustment for age and gender (P = 0.012).

29 ociated with greater CCA IMT (p<0.001) after adjustment for age and gender.

30 y, were positively correlated with CFR after adjustment for age and heart rate.

31 All the HRV indices lost significance after adjustment for age and heart rate.

32 After adjustment for age and hemoglobin level, a 1-natural-log

33 dverse prognostic factor after multivariable adjustment for age and hypertension (HR = 5.95; 95% CI,

34 h increased odds of severe D(3) SA-AKI after adjustment for age and illness severity (odds ratio, 1.4

35 0 to 1995 to 5.9% in 2009 to 2010, but after adjustment for age and indication, a modest decrease was

36 After multivariate adjustment for age and initial RD diagnosis, the PPV +/-

37 significant during the EDIC follow-up after adjustment for age and mean HbA(1c) (HR = 1.20; P = 0.00

38 rates of SICH and poor 3-month outcome after adjustment for age and National Institutes of Health Str

39 This association remained significant after adjustment for age and other factors associated with mal

40 1.28-1.58) compared with never smokers after adjustment for age and other potential risk factors.

41 After adjustment for age and other risk factors, smokers had a

42 After adjustment for age and personal measurements of airborne

43 re compared between strains and seasons with adjustment for age and prior LAIV (n = 436), inactivated

44 , 0.94-1.26), which remained unchanged after adjustment for age and race (hazard ratio, 1.00; 95% con

45 After adjustment for age and race, any HPV prevalence was asso

46 After adjustment for age and refractive error, however, there

47 R], 3.36; 95% CI, 1.07-10.59; P = .04) after adjustment for age and sex and a 14-fold increase in odd

48 were at an increased risk of mortality after adjustment for age and sex compared with stage I patient

49 After adjustment for age and sex in a Cox proportional-hazards

50 After adjustment for age and sex in a linear mixed model, redu

51 After adjustment for age and sex in a multivariable Cox propor

52 After adjustment for age and sex, an ideal CVH score (nonsmoki

53 Survival analysis showed, after adjustment for age and sex, an ocular pressure of >21 mm

54 After adjustment for age and sex, chronic heart disease was as

55 d higher long-term all-cause mortality after adjustment for age and sex, driven by early and noncardi

56 After adjustment for age and sex, factors that were strongly a

57 These data remained significant after adjustment for age and sex, for serum zinc and copper, r

58 By 7 years post-donation, after adjustment for age and sex, greater proportions of Afric

59 After adjustment for age and sex, HF as a time-dependent varia

60 After adjustment for age and sex, inverse associations were ob

61 After adjustment for age and sex, patients with early-onset ty

62 After adjustment for age and sex, post-MI snus quitters had ha

63 at of 20-652 Hz (r = 0.366, p = 0.242) after adjustment for age and sex.

64 dentified by binary logistic regression with adjustment for age and sex.

65 a (adjusted OR, 2.3; 95% CI, 1.3-4.0), after adjustment for age and sex.

66 the range of BMI was seen, persisting after adjustment for age and sex.

67 and significantly associated with KS, after adjustment for age and smoking status.

68 After adjustment for age and smoking, those with abnormal DA i

69 likelihood ratio test p=3.4 x 10(-9), after adjustment for age and stratification by cohort).

70 sociated with relative telomere length after adjustment for age and the length of follow-up (for each

71 confidence interval: 1,350, 1,630) YLL after adjustment for age and underlying risk factors.

72 After adjustment for age and weight, the incidence rate ratio

73 After adjustment for age and weight, the relative risk was 0.7

74 rences were still significant even after the adjustments for age and sex.

75 of mortality and cardiovascular events after adjustments for age and sex; cholesterol, systolic BP, a

76 GCD, and % Hyper remained significant after adjustments for age and systolic blood pressure.

77 eriod from 3 to 16 days after diagnosis with adjustments for age and the baseline cycle-threshold val

78 essed risk factors for hospitalization after adjustment for age- and sex-specific prevalence of risk

79 Cox regression, with adjustment for age (as the underlying matching time vari

80 After adjustment for age at diagnosis, level of education, liv

81 atio (HR) was 2.66 (95% CI, 1.30-5.43) after adjustment for age at diagnosis, sex, and medical center

82 in intake with BMI, weight, and height, with adjustment for age at diet diary, sex, total energy inta

83 After adjustment for age at enrollment and race, the odds of a

84 After adjustment for age at follow-up, the incidence rate rati

85 ards regression under an additive model with adjustment for age at onset, sex, and the first 4 princi

86 active TB disease remained significant after adjustment for age, biomass fuel (BMF) use, and presence

87 sm according to MMR vaccination status, with adjustment for age, birth year, sex, other childhood vac

88 Generalized estimating equations with adjustment for age, BMI, and race were used to evaluate

89 After multivariate adjustment for age, BMI, fluid intake, and other factors

90 mL compared with 74.4 pg/mL, P = 0.01) after adjustment for age, BMI, race, dietary factors, and phys

91 After adjustment for age, BMI, sex, CD4 cell count, triglyceri

92 After adjustment for age, BMI, sex, CD4 cell count, triglyceri

93 espectively (P-linear trend < 0.0001), after adjustment for age, body mass index, alcohol use, smokin

94 After adjustment for age, body mass index, and other potential

95 After adjustment for age, body mass index, aortic valve calcif

96 After multiple regression analysis with adjustment for age, body mass index, gender, high-densit

97 associated with lower recurrence risk after adjustment for age, body mass index, number of AF episod

98 -.82) than PLWH with other haplogroups after adjustments for age, body mass index, combination antire

99 ment for covariates had little effect except adjustment for age category (fully adjusted model HR, 1.

100 After adjustment for age, CD4 cell counts, last HIV viral load

101 After adjustment for age, CD4(+) cell count, hepatitis B or C

102 After adjustment for age, CHA2DS2-VASc score, hypertension, an

103 th versus without a pregnancy history, after adjustment for age, CHD severity, comorbidities, and adm

104 After adjustment for age, duration of grooming, hairiness, ins

105 p Interference Test -2.6, -7.4 to 2.3) after adjustment for age, education, and baseline cognitive fu

106 After adjustment for age, education, and head size, the effect

107 tly associated with better PCS and MCS after adjustment for age, education, marital status, number of

108 hese estimates were similar after additional adjustment for age, education, smoking, use of alcohol,

109 After adjustment for age, ethnicity, prepregnancy body mass in

110 After adjustment for age, ethnicity, seasonality, and previous

111 The association remained after adjustments for age, family history of diabetes, BMI, ph

112 After adjustment for age, fever day, and body mass index, enro

113 Findings persisted after adjustment for age, FIB-4 index score, serum level of al

114 After adjustment for age, for treatment before admission, and

115 e interval, 0.32-0.87; P = 0.01 period after adjustment for age, from the first 5-year interval betwe

116 n meta-analysis (P-value=3.28 x 10(-9) after adjustment for age, gender and education) in an intron o

117 re estimated using logistic regression, with adjustment for age, gender, and caloric intake.

118 intervals (CIs) by logistic regression with adjustment for age, gender, and smoking.

119 ith overall retransplant-free survival after adjustment for age, gender, and transplant indication.

120 [odds ratio, 2.16 (95% CI 1.10-4.26)], after adjustment for age, gender, body mass index, diabetes du

121 ssociation between gender and survival after adjustment for age, gender, cardiac arrest rhythm, witne

122 VF test (P = 0.18) or the MD (P = 0.7) after adjustment for age, gender, CCT and history of glaucoma

123 After adjustment for age, gender, CHC treatment, diabetes trea

124 After adjustment for age, gender, comorbidities, blood product

125 After adjustment for age, gender, education, family history of

126 After adjustment for age, gender, smoking status, HCV, HBV co-

127 After adjustment for age, gender, smoking status, hepatitis C

128 were used to estimate odds ratios (ORs) with adjustment for age, gender, smoking, education, setting,

129 s independently associated with asthma after adjustment for age, gender, socio-economic stratum, city

130 ptic ulcer (HR 2.24; CI 95% 1.16:4.35) after adjustment for age, gender, socioeconomic status, non-st

131 ated and accident-related index injury after adjustment for age group, socioeconomic status, and chro

132 used to compare the CRC incidence rates with adjustment for age, history of lower gastrointestinal en

133 With adjustment for age, HIV-infected children had a 3-5-fold

134 Following adjustment for age, human immunodeficiency virus status,

135 After adjustment for age, income, and education, the predicted

136 After adjustment for age, income, education, body mass index (

137 After adjustment for age, intensive care unit level of care, r

138 f combined death and rehospitalization after adjustment for age, left ventricular ejection fraction,

139 d using conditional logistic regression with adjustment for age, marital status, prescription drug mo

140 After adjustments for age (mean 57.3 [standard deviation (SD)

141 ith mortality and remained independent after adjustment for age, N-terminal pro-B-type natriuretic pe

142 , 3.1; 95% CI, 2.1-4.4; P < .001) even after adjustment for age, National Institute of Health Stroke

143 ith change in ED:EI (r=0.650, p=0.006) after adjustment for age (odds ratio 1.12, 95% CI 1.02-1.24; p

144 er, this association was not sustained after adjustment for age or additional adjustment for cardiova

145 Associations did not change after adjustment for age or dose of leucovorin rescue.

146 iver fibrosis lack serial fibrosis measures, adjustment for age, or longitudinal observations in coin

147 ependently predicted 30-day mortality (after adjustment for age, PSI score, and preexisting comorbid

148 sk factors and SSB intake were examined with adjustment for age, pubertal stage, physical fitness, so

149 (95% confidence interval: 0.65, 0.96) after adjustment for age, race, and nulliparity.

150 ciation between AMH and CRP without and with adjustment for age, race, body mass index (BMI), smoking

151 After adjustment for age, race, CT scanning center, and cohort

152 After adjustment for age, race, gender, education status, body

153 CI: 0.179, 0.194 ng/dL), respectively] after adjustment for age, race, percentage of body fat, daily

154 (95% CI: 2.02%, 10.52%), respectively, after adjustment for age, race, percentage of body fat, percei

155 se in risk factor area under the curve after adjustment for age, race, sex, and education (P<0.05 for

156 ociated with better cognitive function after adjustment for age, race, sex, and total calorie intake

157 decisional conflict and distress, even after adjustment for age, race, sex, education, employment, an

158 After adjustment for age, race/ethnicity, and body mass index,

159 After adjustment for age, race/ethnicity, and marital status,

160 After adjustment for age, race/ethnicity, and parent/caregiver

161 atio, 2.5; 95% CI, 1.5-4.2; p = 0.001) after adjustment for age, region, baseline disability, maligna

162 eriod effect was no longer significant after adjustment for age-related macular degeneration.

163 After adjustment for age, remaining SB length, and the presenc

164 After adjustment for age, score on GCS at inclusion, and the p

165 d -0.56 (-0.96, -0.17), respectively), after adjustments for age, service specialty, waist circumfere

166 marked reduction in hospital mortality after adjustment for age, severity of illness, and comorbiditi

167 (OS) using a log-additive genetic model with adjustment for age, sex, and age-adjusted International

168 After adjustment for age, sex, and baseline AS severity, patie

169 tically significant even after multivariable adjustment for age, sex, and BMI (adjusted OR, 3.36; 95%

170 Even after adjustment for age, sex, and BMI, partial correlations b

171 emained statistically significant even after adjustment for age, sex, and BMI.

172 After adjustment for age, sex, and body mass index, the varian

173 This association was robust to adjustment for age, sex, and childhood risk factors of f

174 Peak VO2 was lower in AF, even after adjustment for age, sex, and chronotropic response, and

175 Among minorities, adjustment for age, sex, and comorbidities underpredicte

176 After adjustment for age, sex, and comorbidities, ED utilizati

177 m 0.56% in 2003 to 0.29% in 2011, even after adjustment for age, sex, and comorbidity.

178 among post-operative conduction groups after adjustment for age, sex, and concomitant procedures (p =

179 After adjustment for age, sex, and conventional cardiovascular

180 erse relationship remained significant after adjustment for age, sex, and conventional childhood risk

181 After multivariable adjustment for age, sex, and coronary risk factors, exer

182 viduals versus nondiabetic individuals after adjustment for age, sex, and education and after additio

183 ed with an increased risk for dementia after adjustment for age, sex, and educational level (hazard r

184 After adjustment for age, sex, and eGFR, hazard ratios for mor

185 After adjustment for age, sex, and energy intake, the consumpt

186 We used linear regression, with adjustment for age, sex, and ethnicity, to estimate the

187 After adjustment for age, sex, and evidence of left heart dise

188 34 times higher, respectively; P<.001), with adjustment for age, sex, and HBV DNA.

189 measured by using FreeSurfer software, with adjustment for age, sex, and intracranial volume, and su

190 a higher risk of in-hospital mortality after adjustment for age, sex, and measured comorbidities.

191 t this association was not significant after adjustment for age, sex, and medical history (adjusted h

192 After adjustment for age, sex, and neighborhood socioeconomic

193 ith future death/myocardial infarction after adjustment for age, sex, and race (odds ratio, 2.05; 95%

194 01-2.50; P=0.04) in unadjusted analyses, but adjustment for age, sex, and race attenuated association

195 After adjustment for age, sex, and race or ethnic group, the r

196 After adjustment for age, sex, and race, the relative risk of

197 ociated with serum levels of HDL-C after the adjustment for age, sex, and race.

198 o 98.5%) reduction in prevalence after model adjustment for age, sex, and race.

199 have a history of one or more tattoos after adjustment for age, sex, and race/ethnicity (OR, 5.17; 9

200 After adjustment for age, sex, and race/ethnicity-body mass in

201 lesterol (n=6502; beta= -4.85; P=0.68) after adjustment for age, sex, and race/ethnicity.

202 After adjustment for age, sex, and randomized trial assignment

203 After adjustment for age, sex, and smoking behavior, these exp

204 Findings were irrespective of multivariable adjustment for age, sex, and surgical/transcatheter aort

205 After adjustment for age, sex, and visual acuity, TCA was sign

206 tion (shift analysis) and in subgroups after adjustment for age, sex, baseline stroke severity (Natio

207 ing repeated-measures linear regression with adjustment for age, sex, birth weight, maternal educatio

208 nfidence interval, 1.05-1.21; P<0.001) after adjustment for age, sex, body mass index, and ASA-perfor

209 After adjustment for age, sex, body mass index, and other CVD

210 Results After adjustment for age, sex, body mass index, Charlson comor

211 ibrosis (OR, 2.08; 95% CI: 1.20-3.55), after adjustment for age, sex, body mass index, fasting hyperg

212 ) and remained a significant predictor after adjustment for age, sex, body mass index, N-terminal pro

213 efore (54.7% vs. 44.7%; p < 0.001) and after adjustment for age, sex, body mass index, pre-existing m

214 ression under an additive genetic model with adjustment for age, sex, body mass index, smoking status

215 r trunk muscle endurance in models including adjustment for age, sex, body mass index, socioeconomic

216 ntal disorders and medical conditions, after adjustment for age, sex, calendar time, and previous men

217 After adjustment for age, sex, CD4 count before therapy, and W

218 After adjustment for age, sex, Charlson comorbidity index, cog

219 After adjustment for age, sex, cohort, height, and weight, per

220 al and facility-based care, persisting after adjustment for age, sex, comorbidities, and insurance ty

221 After adjustment for age, sex, comorbidities, and troponin, pa

222 l, 1.3-1.8]; P < 0.0001, respectively) after adjustment for age, sex, comorbidities, diagnosis, creat

223 After adjustment for age, sex, coronary artery disease, diabet

224 After adjustment for age, sex, country, and SCD phenotype, a l

225 neralised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic bl

226 ratio 1.58 [1.10-2.31], P=0.014) even after adjustment for age, sex, diabetes mellitus, and ischemic

227 al length of stay (p < 0.001) remained after adjustment for age, sex, diagnoses, sedation, and ventil

228 After adjustment for age, sex, education, hypertension duratio

229 These associations were robust to adjustment for age, sex, employment grade, body mass ind

230 isolation was 1.73 (95% CI 1.65-1.82) after adjustment for age, sex, ethnic origin, and chronic dise

231 nalyzed using Cox proportional hazards, with adjustment for age, sex, ethnicity, alcohol use, CD4(+)

232 d cravings and appetite scores at 6 mo after adjustment for age, sex, ethnicity, baseline body mass i

233 link function with robust error variance and adjustment for age, sex, health care use because of AR,

234 Adjustment for age, sex, heart rate, alcohol consumption

235 sociation that persisted after multivariable adjustment for age, sex, heart rate, hypertension, systo

236 ndently related to FeNO (all P < 0.05) after adjustment for age, sex, height, smoking history and med

237 ssociated with LV mass-to-volume ratio after adjustment for age, sex, hypertension, race, and dyslipi

238 idence intervals [1.29-6.75]; P=0.011) after adjustment for age, sex, hypertension, smoking, sodium l

239 hese associations remained significant after adjustment for age, sex, inflammatory markers, and cardi

240 1.71) had an increased risk of death despite adjustment for age, sex, insurance status, etiology of c

241 After adjustment for age, sex, lifestyle, diet, and body mass

242 ; 95% confidence interval: 1.10-1.87), after adjustment for age, sex, living alone, education, lifest

243 od (beta=0.16; P<0.001) that persisted after adjustment for age, sex, medication use, and cardiovascu

244 Models considered adjustment for age, sex, Movement Disorders Society Unif

245 portional hazards regression analysis (after adjustment for age, sex, numbers of annual medical visit

246 low socioeconomic status group was robust to adjustment for age, sex, obesity, and physical activity,

247 These differences remained significant after adjustment for age, sex, parental history of myopia, and

248 Results remained nonsignificant after adjustment for age, sex, percentage of body fat, sun exp

249 dence interval, 1.32 to 2.41; P<0.001) after adjustment for age, sex, presence of diabetes mellitus,

250 After adjustment for age, sex, pulmonary artery systolic press

251 After adjustment for age, sex, race (nonwhite compared with wh

252 After adjustment for age, sex, race, and estimated blood volum

253 erence, 18 m [95% CI, 6-30]; P = .30), after adjustment for age, sex, race, body mass index, forced e

254 After adjustment for age, sex, race, body mass index, smoking

255 ith adiposity phenotypes were examined after adjustment for age, sex, race, comorbidities, and body m

256 V structure and function were examined after adjustment for age, sex, race, comorbidities, and lean m

257 Following adjustment for age, sex, race, diabetic kidney disease,

258 ting equation Poisson models were used, with adjustment for age, sex, race, educational level, income

259 After multivariable adjustment for age, sex, race, witness status, layperson

260 After adjustment for age, sex, race-ethnic group, SES, and BMI

261 interval duration (QTcorr) was determined by adjustment for age, sex, race/ethnicity, and RR interval

262 s or differentially methylated probes, after adjustment for age, sex, race/ethnicity, batch effects,

263 After adjustment for age, sex, race/ethnicity, body mass index

264 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, body mass index

265 After adjustment for age, sex, race/ethnicity, diabetes mellit

266 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, smoking, diagno

267 using Cox proportional hazards models, with adjustment for age, sex, race/ethnicity, smoking, diagno

268 le with and without asthma, before and after adjustment for age, sex, social deprivation and smoking

269 alls) (HR = 0.79, 95% CI: 0.44, 1.42), after adjustment for age, sex, socioeconomic position, alcohol

270 After adjustment for age, sex, systolic blood pressure, measur

271 After adjustment for age, sex, treatment programme, and year o

272 egression for each health-care system, after adjustment for age, sex, year, and Charlson comorbidity

273 type and baseline cognitive performance with adjustment for age, sex, years of education, disease dur

274 rphology to the presence of SHFP edema, with adjustments for age, sex, and body mass index.

275 % confidence interval = 1.32-3.08) following adjustments for age, sex, and stroke risk factors.

276 15 years) prior to dementia diagnosis, with adjustments for age, sex, education, apolipoprotein E (A

277 Adjustments for age, sex, education, apolipoprotein E e4

278 s than periodontally healthy controls, after adjustments for age, sex, physical activity, systolic bl

279 After adjustments for age, sex, race, and vascular risk factor

280 After adjustments for age, sex, study site, primary coronary p

281 ified analysis revealed that the study type, adjustment for age/sex, treatment duration, cumulative d

282 Adjustment for age, smoking, and other confounders atten

283 After adjustment for age, smoking, and other factors, total ca

284 ting for potential confounding factors.After adjustment for age, smoking, and other factors, women wi

285 After adjustment for age, smoking, body mass index, and other

286 CVD was quantified with joint modeling, with adjustment for age, smoking, oral contraceptive use, bod

287 fidence intervals (CI) were calculated after adjustment for age, smoking, physical activity, socioeco

288 After adjustments for age, smoking, drinking, anthropometric a

289 Each model included adjustment for age, socioeconomic deprivation, and numbe

290 k, and Asian women than in white women after adjustment for age, socioeconomic status (income and edu

291 sion analyses before and after multivariable adjustment for age, socioeconomic status, depressive sym

292 Cancer type, data source, reporting quality, adjustment for age, stage, or comorbidities, use of prop

293 After adjustment for age, stroke severity, and other factors,

294 The Cochran-Mantel-Haenszel test with adjustment for age, stroke severity, sex, and thrombolys

295 This association persisted after adjustment for age, the CD4 cell count, and HIV viral lo

296 After adjustment for age, the difference of peripapillary CVI

297 ared with women in the lowest quintile after adjustment for age, total energy, race, income, smoking,

298 After adjustment for age, urbanization, economic status and me

299 h year as independent variables (i.e., after adjustment for age, we were able to analyze how LTL corr

300 3.1; 95% confidence interval, 1.2-8.2) after adjustment for age, year of diagnosis, septic complicati