ライフサイエンスコーパス: after adjusting for

1 After adjusting for 34 covariates in a Cox proportional

2 mic attack (dual transient ischaemic attack) after adjusting for ABCD2 score.

3 After adjusting for additional risk factors of CKD, incl

4 After adjusting for adherence and other prognosticators,

5 lower qAF8 values in the overall AMD cohort after adjusting for age (difference, -19.9% [95% CI, -25

6 lobe as well as caudate and putamen nuclei, after adjusting for age (P < 0.05).

7 8-11.0) times more likely to be at high risk after adjusting for age (P<0.05).

8 ary heart disease, heart failure, and stroke after adjusting for age (RR, 3.89; 95% CI, 1.83-8.26), b

9 did not decrease in NS subjects (P < 0.05), after adjusting for age and pack-years.

10 e taking medication vs nonmedicated periods, after adjusting for age and practice effects.

11 After adjusting for age and refractive error, the mean (

12 ase across the time period was 2.5% per year after adjusting for age and sex (adjusted incidence rate

13 These associations remained significant after adjusting for age of onset.

14 0.002) compared with those without glaucoma after adjusting for age, and mental status.

15 After adjusting for age, body mass index, race, current

16 ssociated with fewer delirium/coma-free days after adjusting for age, Charlson comorbidity index, mod

17 In eyes with high myopia, after adjusting for age, choroidal vascular and stromal

18 After adjusting for age, education, race, marital status

19 After adjusting for age, epidemic period, MERS patients

20 s compared with those without mental illness after adjusting for age, income, race, ethnicity, geogra

21 After adjusting for age, initial Glasgow Coma Scale, and

22 After adjusting for age, marital status, material depriv

23 Income differences were not significant after adjusting for age, race, and education.

24 After adjusting for age, race, body surface area, systol

25 After adjusting for age, race, gender, and follow-up yea

26 95% CI = 0.72-0.9) of being discharged home after adjusting for age, race, gender, severity of illne

27 After adjusting for age, race, parental education, and p

28 After adjusting for age, race/ethnicity, sex, lens statu

29 rvival and delirium-free and coma-free days, after adjusting for age, severity of illness, and presen

30 ival and more days free of delirium and coma after adjusting for age, severity of illness, and presen

31 After adjusting for age, sex, and BMO area, there was no

32 After adjusting for age, sex, and comorbidities, the ris

33 After adjusting for age, sex, and interval between basel

34 After adjusting for age, sex, and left atrial size, stan

35 le comparisons using Bonferroni analysis, or after adjusting for age, sex, and OHI.

36 confidence interval, 0.56 to 0.75; P<0.001) after adjusting for age, sex, and race.

37 The association in multivariate regression after adjusting for age, sex, and race/ethnicity was 2.9

38 e in AT1RaAbs, decreased time to death by 9% after adjusting for age, sex, body mass index, and blood

39 n AT1RaAbs increased the odds of falling 30% after adjusting for age, sex, body mass index, and blood

40 analysis under recessive and additive models after adjusting for age, sex, body mass index, and estim

41 The data was analyzed after adjusting for age, sex, education, history of hype

42 After adjusting for age, sex, intervention group, and li

43 of cancer-specific death compared with NHWs after adjusting for age, sex, race, stage, county-level

44 ; 95% CI, 0.28 to 0.57) remained significant after adjusting for age, sex, smoking, educational attai

45 ripts associated with fasting insulin levels after adjusting for age, sex, technical covariates, and

46 al 0.45-0.99), and this association remained after adjusting for age, sex, thickness, and mitosis.

47 as an independent predictor of OS (P = .032) after adjusting for age, sex, treatment, tumor size, and

48 with increased CV events between ages 40-60 after adjusting for age, tobacco smoking, viral load, an

49 significant predictors of in-hospital death after adjusting for age.

50 ish), these differences were not significant after adjusting for age.

51 were also observed at lower CD4 cell counts after adjusting for age.

52 ant risk factors for enhancement after SMILE after adjusting for all other covariates (odds ratios, 5

53 n subjects with little amyloid pathology, or after adjusting for Alzheimer disease-related pathologie

54 .47) versus healthy implants (0.07 +/- 0.19) after adjusting for amount of plaque collected per site

55 ttenuated slightly to 3.9 (95% CI = 2.9-5.4) after adjusting for anxiety, depression, and healthcare

56 SP and venous or IV %IT remained significant after adjusting for arterial percent medial thickness an

57 After adjusting for background data structure, the IMVT

58 io [HR] 1.26, 95% CI 0.67-2.37) p=0.47, even after adjusting for baseline CD4 cell percentage (adjust

59 /American Indian/Alaska Native patients; but after adjusting for baseline characteristics, black race

60 tes of survival for black and white patients after adjusting for baseline characteristics.

61 er from normal-weight patients significantly after adjusting for baseline characteristics.

62 19.3% vs. 8.4%; p < 0.001), which persisted after adjusting for baseline differences (adjusted hazar

63 After adjusting for baseline HbA1c, significant changes

64 A inflammatory activity remained significant after adjusting for baseline low-density lipoprotein and

65 After adjusting for baseline VA, the difference between

66 After adjusting for baseline, the methylphenidate group

67 After adjusting for bicarbonate less than 20 mEq/L, lact

68 evelop new onset hypertension later in life, after adjusting for body mass index and diabetes (hazard

69 After adjusting for both availability and perception bia

70 bolic changes, as measured by whole-body MRI after adjusting for cardiometabolic risk factors.

71 After adjusting for clinical and treatment variables, EM

72 After adjusting for clinical covariates, both bio-CVG an

73 9, P = 2 x 10(-4)) alone remained predictive after adjusting for clinical predictors.

74 failure is associated with improved survival after adjusting for clinical variables.

75 After adjusting for clinical, histologic, and immunologi

76 Our primary outcome was all-cause mortality after adjusting for clinically relevant covariates in a

77 d independently associated with homelessness after adjusting for co-occurring mental health and subst

78 h an increased risk of asthma at age 3 years after adjusting for common confounders (relative risk [R

79 After adjusting for common eQTLs and the major axes of g

80 sks were attenuated but remained significant after adjusting for comorbid major depressive disorder,

81 significant predictor of reduced global MFR after adjusting for comorbidities.

82 ct on suicidal ideation remained significant after adjusting for concurrent changes in severity of de

83 onically in more recently born cohorts, even after adjusting for concurrent demographic and socioecon

84 h microbiome alpha diversity (Shannon index) after adjusting for confounders (DHA Beta(SE) = 0.13(0.0

85 After adjusting for confounders on multivariable analysi

86 After adjusting for confounders on multivariable analysi

87 After adjusting for confounders, each 5-microg/dL higher

88 creased in the obese group ( P < 0.001), and after adjusting for confounders, obese patients had a si

89 After adjusting for confounders, the relationship betwee

90 o, 1.51; 95% confidence interval, 1.08-2.10) after adjusting for confounders.

91 ependently associated with greater mortality after adjusting for confounders.

92 readmissions (7.2 vs 8.4%, P = 0.665), even after adjusting for confounders.

93 re non-white residents (OR 1.51, 1.43-1.59), after adjusting for confounders.

94 y distress syndrome in colonized group, even after adjusting for confounding factors (odds ratio, 2.7

95 After adjusting for confounding factors using a generali

96 After adjusting for confounding factors, females had a 6

97 After adjusting for confounding factors, subjects with b

98 ther CA is correlated with clinical outcomes after adjusting for confounding factors.

99 ccipital and left parietal association areas after adjusting for confounding factors.

100 After adjusting for confounding, the choice of preservat

101 After adjusting for copayments, poverty status, and como

102 rval [CI], .45-.70), and the effect remained after adjusting for covariates (adjusted RR, 0.69; 95% C

103 he quantity of alcohol drinking was observed after adjusting for covariates and that abstinence was a

104 After adjusting for covariates in the multivariable mode

105 ationships between AAP exposure and outcomes after adjusting for covariates including body fat percen

106 After adjusting for covariates, both exo-E415G and plasm

107 However, after adjusting for covariates, Indian persons had, on a

108 After adjusting for covariates, multivariate analysis id

109 After adjusting for covariates, there was no difference

110 After adjusting for covariates, total reproductive durat

111 After adjusting for covariates, we found that maternal i

112 After adjusting for covariates, we found that maternal s

113 oke were not associated with exercise volume after adjusting for covariates.

114 1), which remained statistically significant after adjusting for covariates.

115 rdinal logistic regression models before and after adjusting for covariates.

116 , and obesity (HR: 2.66; 95% CI: 1.86, 3.80) after adjusting for covariates.

117 1), which remained statistically significant after adjusting for covariates.

118 al morbidity (HR, 1.50 [95% CI, 1.09-2.06]), after adjusting for CPT.

119 f adjusting for malaria on the estimated VAD after adjusting for CRP and AGP.The use of regression co

120 After adjusting for demographic and clinical factors, th

121 After adjusting for demographic and health characteristi

122 exclusive exposure to the freshest RBC units after adjusting for demographic variables, diagnosis cat

123 HR, 1.09; 95% CI, 1.05-1.13; P < .001) only, after adjusting for demographic, tumor, and treatment fa

124 aseline MDD was associated with incident AMI after adjusting for demographics (hazard ratio [HR], 1.3

125 ratio, 1.97 [95% CI, 1.18-3.30; p < 0.009]) after adjusting for demographics, Acute Physiology and C

126 This protective effect remained after adjusting for demographics, clinic type, abnormal

127 Compared with uninfected participants-and after adjusting for demographics, lifestyle, and metabol

128 less liver fat than uninfected adults, even after adjusting for demographics, lifestyle, metabolic f

129 HF 1.25 (95% confidence interval 1.13, 1.48) after adjusting for demographics, prevalent cardiovascul

130 After adjusting for demographics, risk factors, and the

131 After adjusting for demographics, risk factors, and trea

132 After adjusting for diet and colonic transit, the profil

133 These associations remained significant after adjusting for dietary fibre intake.

134 10.0%; difference, 5.6%; 95% CI, 5.2%-5.9%) after adjusting for differences in age, sex, income, geo

135 ociation maintained statistical significance after adjusting for disease severity, chemoprophylaxis,

136 -mL/min/1.73 m decrease of postdonation eGFR after adjusting for donor age at donation, sex, race, pr

137 greater remained independently related to cg after adjusting for DSA_MFI_max, C4d, or previous reject

138 ger for women and remains highly significant after adjusting for educational attainment.

139 months was independently associated with LOC after adjusting for established risk factors for poor ou

140 = 0.535, P < .001) that remained significant after adjusting for factors governing media clarity, suc

141 After adjusting for GDP per capita, length of highways,

142 or burden was associated with later AF onset after adjusting for genetic predisposition (P<0.001).

143 After adjusting for geographic spending region and sole

144 ller neonates than the other countries, even after adjusting for gestational age.

145 ifference in CDR measurement between cameras after adjusting for grader and measurement order (estima

146 After adjusting for >20 risk factors, female sex was ass

147 remained associated with intracranial volume after adjusting for height.

148 After adjusting for hospital characteristics, sepsis mor

149 ed antibiotics (aOR, 0.16; 95% CI, .09-.29), after adjusting for indication, Charlson comorbidity ind

150 in rates of overwork-related CVDs before and after, adjusting for indicators of working conditions.

151 ounty-level characteristics and eye care use after adjusting for individual-level characteristics (ag

152 The odds did change to null after adjusting for individual-level predictors (OR = 1.

153 US$551 in 2014, representing a 16% increase after adjusting for inflation in medical prices.

154 Average total cost per patient after adjusting for inflation was significantly reduced

155 After adjusting for inflation, the decline in funding to

156 After adjusting for inflation, the mean cost change was

157 In multivariate analysis, after adjusting for initial best-corrected visual acuity

158 l validity with the COHORT mutation carriers after adjusting for initial progression.

159 On the molecular level, after adjusting for intrinsic subtype frequency differen

160 e most molecular differences were eliminated after adjusting for intrinsic subtype, the study found 1

161 itive transcranial Dopplers predicted stroke after adjusting for ipsilateral and contralateral intern

162 After adjusting for key predictors of MCI risk, B-SIT (a

163 surgical type does not influence DDFI or OS after adjusting for known prognostic factors in young br

164 valence and serotype distribution vary, even after adjusting for laboratory methods.

165 = 0.60, P = .01), which remained significant after adjusting for manic symptom severity.

166 rring during daytime and evening hours, even after adjusting for many potentially confounding patient

167 After adjusting for matching, country, socioeconomic dep

168 ate adjusted risk ratios (aRRs) and 95% CIs, after adjusting for maternal age, country of origin, edu

169 ate adjusted hazard ratios (HRs) and 95% CIs after adjusting for maternal age, country of origin, edu

170 The association remained significant after adjusting for maternal characteristics and year of

171 ve HEU infants; this association disappeared after adjusting for maternal HIV load.

172 After adjusting for maternal IQ, childhood IQ, and child

173 n use and all the SDQ domains unchanged even after adjusting for maternal postnatal or partner's acet

174 After adjusting for maternal sociodemographics, gestatio

175 al sex-based salary differences existed even after adjusting for measures of personal, job, and pract

176 tatus markers that were modestly poorer even after adjusting for medical comorbidity, including incre

177 rsion using multivariate logistic regression after adjusting for MIC.

178 of analysis of the 1000 Genomes Project even after adjusting for more common variants (MAF > 1%).

179 ependent predictors of overall survival (OS) after adjusting for MTV.

180 tween the 2 groups in prespecified subgroups after adjusting for multiple comparisons, including ST-e

181 ssociation was not statistically significant after adjusting for multiple comparisons, indicating tha

182 After adjusting for multiple comparisons, NET variant rs

183 After adjusting for multiple comparisons, we found signi

184 going treatment for active tuberculosis even after adjusting for multiple demographic, socioeconomic,

185 After adjusting for multiple potential confounders (incl

186 Even after adjusting for multiple potential confounding facto

187 After adjusting for multiple testing, direct association

188 After adjusting for multiple testing, the meta-analysis

189 presentation, or neuropsychological measures after adjusting for multiple testing.

190 eplicate any genotype-treatment interactions after adjusting for multiple testing.

191 Tanzania, and Uganda remained highly ranked after adjusting for national gross domestic product.

192 d cost (hospital stay, 90-, 180-, and 365-d) after adjusting for number of comorbidities, psychologic

193 corresponds to documented human births, even after adjusting for numerous factors such as language an

194 factors independently associated with NAFLD after adjusting for obesity in adolescent females includ

195 s ratio, 0.55 [95% CI, 0.35-0.86]; P = .01), after adjusting for other confounders.

196 gh numbers of unsolicited patient complaints after adjusting for other covariates.

197 were also associated with hospital mortality after adjusting for other risk factors and improved pati

198 After adjusting for other risk factors, there was no sig

199 of 2.25 (95% confidence interval, 1.70-2.99) after adjusting for other risk factors.

200 After adjusting for PaO2/FIO2 and either driving pressur

201 ation II score and baseline driving pressure after adjusting for PaO2:FIO2 ratio, gender, and the eti

202 ngitis, sinusitis, presumed viral infection) after adjusting for patient age and encounter provider t

203 as associated with lower discharge GOS score after adjusting for patient age, gender and histological

204 We estimated the odds of bowel intervention after adjusting for patient and clinical factors.

205 After adjusting for patient and hospital characteristics

206 After adjusting for patient and hospital characteristics

207 After adjusting for patient characteristics, 57 hospital

208 After adjusting for patient characteristics, diabetes wa

209 After adjusting for patient characteristics, relative to

210 vel and provider trust levels, respectively, after adjusting for patient characteristics.

211 rvival with a TCS device is superior to ECMO after adjusting for patient differences.

212 After adjusting for patient variables and the correlatio

213 After adjusting for patient- and transplant-related fact

214 Mortality risks remained elevated for CAS after adjusting for patient-level factors (hazard ratio,

215 After adjusting for perinatal characteristics and prelig

216 After adjusting for phenotypic resistance profile, low b

217 After adjusting for physician and practice characteristi

218 ndent predictors of genital HIV RNA shedding after adjusting for plasma HIV RNA and longitudinal meas

219 After adjusting for population differences, younger ages

220 e risk of LRTI 1.76-fold (95% CI: 1.24-2.51) after adjusting for possible confounders but was not ass

221 ly associated with increased mortality, even after adjusting for potential confounders (odds ratio [9

222 ectiveness was 80.2% (95% CI 61.5-100.0) and after adjusting for potential confounders was 87.3% (70.

223 After adjusting for potential confounders, compared with

224 In multivariable models, after adjusting for potential confounders, every doublin

225 After adjusting for potential confounders, including BNP

226 After adjusting for potential confounders, IVUS was asso

227 After adjusting for potential confounders, the remaining

228 After adjusting for potential confounders, undergoing RP

229 After adjusting for potential confounders, we found that

230 r-specific mortality by low-dose aspirin use after adjusting for potential confounders.

231 d ratio, 0.71; 95% CI, 0.58-0.88; P = .002), after adjusting for potential confounders.

232 etween AC+ participants and AC- participants after adjusting for potential confounders.

233 =-0.12; P=0.03) and MVO (beta=0.18; P=0.001) after adjusting for potential confounders.

234 e survival in two large independent datasets after adjusting for potentially confounding factors.

235 ated decrease in burned area remained robust after adjusting for precipitation variability and was la

236 These spatial patterns persisted after adjusting for prenatal exposure to organochlorines

237 After adjusting for previous biopsy findings as an indic

238 stases and deaths were lower for BCS but not after adjusting for prognostic factors.

239 After adjusting for psychiatric comorbidities, the risk

240 After adjusting for psychiatric comorbidities, the risk

241 Importantly, this risk remains substantial after adjusting for psychiatric comorbidities.

242 dollar spent in high-income countries, even after adjusting for purchasing power, and the same is pr

243 Even after adjusting for race and other important confounders

244 greater than a threshold of 8 ppb of NO2 and after adjusting for race and season (spirometry standard

245 After adjusting for race/ethnicity, 4 taxa were positive

246 After adjusting for relevant confounding variables, PH w

247 After adjusting for relevant covariates, the risk of dea

248 $12-$25) increase in out-of-pocket spending after adjusting for relevant factors.

249 5% confidence interval [CI], 1.65 to 19.84]) after adjusting for relevant patient clinical characteri

250 .001) increased risk of subsequent mortality after adjusting for relevant prognosticators.

251 After adjusting for risk category, early HFOV use was as

252 After adjusting for risk factors, none of the 4 primary

253 ed risks for diabetes; these risks persisted after adjusting for SES and obesity (NHBs: RR, 2.8; 95%

254 After adjusting for SES, 51% of SNHs were assigned to th

255 After adjusting for severity of illness and site, the od

256 After adjusting for severity of illness, the adjusted od

257 analysis and 5.3 (95% CI, 1.1-26.4; P = .04) after adjusting for sex and cervical dissection.

258 After adjusting for sex and HbA1c, AL progression was al

259 Spanish and validation cohort, respectively, after adjusting for sex, age at HIV-1 diagnosis, IFNL4-r

260 g Cox proportional hazards regression models after adjusting for sex, age, and educational level.

261 After adjusting for sex, age, current smoking status, hi

262 and both conduct disorder and hyperactivity, after adjusting for sex, parental education, low birth w

263 as higher for sepsis than nonsepsis controls after adjusting for sex, race, education, income, region

264 ith significantly increased 21-day mortality after adjusting for significant covariates (Model for En

265 pendence was associated with COPD risk, even after adjusting for smoking behavior, indicating genetic

266 diet, and illicit drug use-according to CHC after adjusting for sociodemographic differences.

267 hogens remained associated with malnutrition after adjusting for sociodemographic factors.

268 d significant climate dependence (p < 0.001) after adjusting for socioeconomic factors.

269 ving average (OR = 1.61; 95% CI: 1.35, 1.92) after adjusting for socioeconomic measures (SES); PM2.5

270 9.17 [8.23] vs 44.09 [6.51]; Cohen d, -0.45) after adjusting for socioeconomic status, cannabis use,

271 h tamoxifen (OR, 0.54; 95% CI, 0.31 to 0.93) after adjusting for socioeconomic, clinic, and prognosti

272 After adjusting for speckle-tracking analyst, image qual

273 After adjusting for SSI risk, no association between rec

274 e remained significantly associated with PFS after adjusting for stage and tumor weight.

275 ces in outcomes narrowed but still persisted after adjusting for surgeon, hospital, and care processe

276 After adjusting for suspected confounders, moderate, sev

277 %, P = .003) and TILs (47% vs 18%, P = .008) after adjusting for the age at diagnosis.

278 After adjusting for the baseline antibiotic prescription

279 All findings remained significant after adjusting for the common MYOC p.Gln368Ter variant.

280 nses to priming doses for 18 of 21 antigens, after adjusting for the effect of maternal antibody conc

281 -hospital death (OR = 1.89, P = 0.014), even after adjusting for the Euro score.

282 After adjusting for the fitted values from the DHR model

283 sis and were still statistically significant after adjusting for the International Staging System and

284 droartemisinin-piperaquine treatment failure after adjusting for the presence of amplified plasmepsin

285 After adjusting for the propensity to receive high-inten

286 were twice as likely to have an aorta >40 mm after adjusting for the same parameters.

287 was 3.72 (95% confidence interval 1.04-14.3) after adjusting for the TIMI Risk Score, left ventricula

288 After adjusting for the variables acute cholangitis prio

289 ly larger in a sample of former NFL athletes after adjusting for their size, age, race, and cardiac r

290 After adjusting for these differences, delayed follow-up

291 After adjusting for these factors, difference in surviva

292 oon after starting ART was no longer present after adjusting for these risk factors.

293 decrease in Hp 1-1 noncarriers (P = 0.047), after adjusting for total intracranial volume, age, sex,

294 des, however lost their independent relation after adjusting for total microcirculation scores.

295 After adjusting for various covariates, a 10-fold increa

296 However, these associations disappeared after adjusting for vascular risk factors (HR = 1.07 [0.

297 ons were attenuated but remained significant after adjusting for waist, physical activity, alcohol co

298 w-up, but these associations were attenuated after adjusting for WC.Physical activity, but not sedent

299 After adjusting for year of birth and mother's age, wome

300 After adjusting for year of enrollment, age, etiology, a