ライフサイエンスコーパス: demographics

1 owing popularity, particularly among younger demographics.

2 atory impacts will be mediated by population demographics.

3 mic countries, other flavivirus immunity, or demographics.

4 2]; P=0.01) in a model adjusted for baseline demographics.

5 mpt were identified when adjusting for socio-demographics.

6 rol (p = 0.005), after controlling for socio-demographics.

7 r adjusting for strict social distancing and demographics.

8 ression when adjusting for lung function and demographics.

9 nalyses associated factors with symptoms and demographics.

10 n density, median income, and racial and age demographics.

11 without adjustment for transmission risk and demographics.

12 tudy population may not represent nationwide demographics.

13 ts, embraces, and celebrates people from all demographics.

14 1.58) in models adjusted for baseline RF and demographics.

15 ditorial boards capture the field's changing demographics.

16 adjust for underlying differences in patient demographics.

17 that most articles made no mention of sample demographics.

18 onounced effect in the elderly than in other demographics.

19 associations with immune parameters and key demographics.

20 ed survey responses on health, behaviour and demographics.

21 ences for individual survival and population demographics.

22 le whole-brain RSFC patterns, behaviors, and demographics.

23 utbreak parameterized with the US population demographics.

24 line survey that assessed the following: (1) demographics; (2) social network; (3) perceived stress;

25 and Fisher's exact tests to compare baseline demographics across groups.

26 Weight gain was not related to demographics, activity, metabolic biomarkers, or diet qu

27 measures of CD4 count and viral load, using demographics-adjusted, cohort-stratified Cox models, and

28 Using demographics-adjusted, cohort-stratified Cox models, we

29 sson analysis demonstrated secular trends in demographics, admissions, operations, and outcomes in de

30 ary statistics were used to describe patient demographics, adverse events, length of support, and out

31 sed the effect of tumour subtype and patient demographics (age and sex) on prevalence and mortality f

32 usion of bilateral eyes, sample size issues, demographics (age, gender, and ethnicity), and whether s

33 ng tuberculosis by time-period of follow-up, demographics (age, region), and clinical attributes (HIV

34 hich represent appropriate gender and racial demographics amongst HS patients.

35 Data were collected on patient demographics, anatomic characteristics of the RRD, surgi

36 e were significant racial differences in the demographics and anatomic characteristics that could be

37 ed data about disease severity and household demographics and assets.

38 gnificant after multivariable adjustment for demographics and cardiovascular disease risk factors.

39 cident amputation events after adjusting for demographics and cardiovascular risk factors.

40 he meta-regression to explore the effects of demographics and clinical characteristics on variation i

41 Baseline demographics and clinical characteristics were comparabl

42 Patient demographics and clinical data were collected through th

43 Demographics and clinical information were recorded from

44 Multivariate Cox regression adjusting for demographics and clinical measures of vision (low-lumina

45 The demographics and comorbidities of patients with communit

46 After adjustment for demographics and comorbidities, independent predictors o

47 zed estimating equations and controlling for demographics and comorbidities.

48 and associated outcomes adjusted for patient demographics and comorbidity were also analyzed.

49 controlling for baseline outcomes and socio-demographics and correcting for multiple-hypothesis test

50 k and overall mortality, after adjusting for demographics and CVD risk factors.

51 Demographics and data on ocular comorbidity, intraoperat

52 analyzed the relationship between ACE2 with demographics and disease activity and prognosis.

53 Patient demographics and disease characteristics of the Asian su

54 tific understanding of changes in vegetation demographics and disturbances.

55 ups that were not significantly different in demographics and extracorporeal membrane oxygenation cha

56 odel was used to estimate the association of demographics and healthcare delivery factors with QHP en

57 Baseline demographics and hospitalization data were collected.

58 Demographics and hospitalizations were linked to evaluat

59 g, especially in areas with rapidly changing demographics and incomplete or no enumeration of the und

60 for confounding factors such as seasonality, demographics and infection frequencies, allowing genuine

61 ts who developed hepatitis and examined both demographics and inflammatory laboratory values to ascer

62 t extensive variation in assays, study group demographics and laboratory protocols across published s

63 After adjustment for demographics and lifestyle behaviors, severe obstructive

64 dy, we calculated associations (adjusted for demographics and lifestyle) of parental education and an

65 atients and all household contacts to obtain demographics and medical histories.

66 inically relevant characteristics, including demographics and multimodal imaging features, by observe

67 ormation was also obtained regarding patient demographics and other sexually transmitted infections.

68 Patient demographics and PP data were collected.

69 ctronic survey comprised 28 questions on the demographics and professional background of the responde

70 lds and communities, adapted to the changing demographics and RSV seasonality of a low-income country

71 f their presidential term, were assessed for demographics and scholastic achievements.

72 In multivariate analysis including all M01 demographics and SD-OCT parameters and their association

73 Demographics and self-reported "LCD-status" (current, pa

74 This study describes changes in blood donor demographics and seroreactivity after testing of blood d

75 All analyses were adjusted for demographics and standard COPD risk factors (primary and

76 The impact of changing demographics and surgical disease incidence on EGS servi

77 ERG abnormalities were related to demographics and uveitis characteristics, including anat

78 All associations were independent of socio-demographics and vascular risk factors (body mass index,

79 lammation markers, hypoxia and other vitals, demographics, and a range of comorbidities, IL-6 and TNF

80 testing relationships with diagnostic group, demographics, and clinical measures.

81 able in their morphologies, their population demographics, and their ensuing functions.

82 etween 17D immunity and vaccination history, demographics, and travel were evaluated using nominal lo

83 Interstitial lung disease characteristics, demographics, and ventilator variables were analyzed for

84 Participant demographics, aneurysm characteristics, and endovascular

85 (95% CI: -170, -11) mL after adjustment for demographics, anthropometrics, dietary factors, and smok

86 Demographics, anthropometrics, liking ratings, and neura

87 ratio and the primary outcome, adjusting for demographics, arrest characteristics, and Resuscitation

88 iptions, medical history, incarceration, and demographics as strong predictors.

89 Donor and recipient demographics as well as clinical variables pre-LT, intra

90 avior Questionnaire, and anthropometrics and demographics assessments.

91 and, such as the number of local outlets and demographics associated with local news consumption, are

92 Data including demographics, attack characteristics and response to tre

93 They completed a survey on demographics, barriers to glaucoma medication adherence,

94 Demographics, baseline comorbidities, presenting vital s

95 no statistically significant differences in demographics, baseline data, or procedure characteristic

96 There were no differences in demographics, baseline VA, or IOD between groups (P >= .

97 ltivariable logistic regression; participant demographics, baseline viral load, and PDC were explanat

98 ing chronic conditions while controlling for demographics, behavioral risk factors, and chronic comor

99 Baseline demographics between cohorts were similar: Age 47.2 +/-

100 ificant differences in age or other baseline demographics between the cohorts with and those without

101 Patient demographics, biopsy target type, pathologic reports, su

102 ciated with hospitalization rates, including demographics, blood pressure, estimated glomerular filtr

103 Groups were compared by demographics, body mass index, ophthalmic examination, t

104 le accounting for the complex survey design, demographics, body mass, and time between sleep and echo

105 The most striking finding is that age demographics break the expected self-similarity underlyi

106 A Cox regression model adjusting for patient demographics, calendar year, and the number of ear drop

107 ing linear mixed-effects models adjusted for demographics, cardiac risk factors, and HIV-related and

108 Data collected included demographics, CDI risk factors (comorbidities, healthcar

109 We analyzed demographics, cerebrovascular risk factors, clinical fin

110 tal health outcomes were examined, including demographics, characteristics of the cancer-affected chi

111 Baseline demographics, circumstances, and cause of SCD were obtai

112 ular complications and hazard ratio (HR) for demographics, clinical characteristics, and OCT risk fac

113 Patient demographics, clinical characteristics, and outcomes wer

114 in the upper airway is influenced by patient demographics, clinical characteristics, comorbidities, o

115 Demographics, clinical data, timing, and reasons for dis

116 We collected data on demographics, clinical features, and indocyanine green a

117 wed to gather clinical information including demographics, clinical features, immune status, treatmen

118 We abstracted information related to patient demographics, clinical features, treatment, and fatality

119 AD were matched with those receiving IABP on demographics, clinical history, presentation, infarct lo

120 edictors of syphilis were sought among socio-demographics, clinical information, and self-reported be

121 isolates and TVV's associations with patient demographics, clinical outcomes, and metronidazole resis

122 ctober 2015 and March 2020 were reviewed for demographics, clinical presentation, comorbidities, and

123 Materials and Methods The demographics, clinical presentation, injuries, and radio

124 case report form was used to record data on demographics, clinical presentation, management, diagnos

125 60% of the variability explained by patient demographics, clinical risk factors for liver disease, a

126 rates by timing, setting, transmission mode, demographics, clinical symptoms, and health outcomes.

127 Sex differences in demographics, clinicopathologic characteristics, and pos

128 sociated with greater anxiety, adjusting for demographics, cognition, and depression.

129 Demographics, comorbidities, 30-day complications, and 1

130 Covariates included demographics, comorbidities, and acuity at presentation.

131 This study assessed the demographics, comorbidities, and health care use of adul

132 gy and Cox regression analysis adjusting for demographics, comorbidities, and operative approach.

133 When adjusted for demographics, comorbidities, and surgical triggers (symp

134 hed patients were statistically identical on demographics, comorbidities, BMI, surgical indication, a

135 Patient-level demographics, comorbidities, clinical presentation, util

136 After adjustments for demographics, comorbidities, dialysis vintage, and kidne

137 e differences persisted after adjustment for demographics, comorbidities, estimated glomerular filtra

138 Relevant data, including demographics, comorbidities, extracorporeal membrane oxy

139 ciation with all-cause death, independent of demographics, comorbidities, guideline-based surgical tr

140 Demographics, comorbidities, preceding type of surgery,

141 We collected data for demographics, comorbidities, predisposing factors, all-c

142 Patient demographics, comorbidities, preoperative laboratory res

143 Information was collected regarding demographics, comorbidities, underlying CVD, medications

144 Demographics, comorbidities, vital signs, laboratory dat

145 As demographics continue to change, further efforts are nee

146 These changing demographics demand a reinvention of experimental approa

147 neral surgery (EGS), by analyzing changes in demographics, diagnoses, operations, and outcomes betwee

148 standing of secular trends of EGS, including demographics, diagnoses, operations, and outcomes.

149 eport forms collected information on patient demographics, diagnoses, phenotypes, and test results.

150 Patient demographics, diagnoses, preoperative and postoperative

151 Demographics, diagnosis, therapies, complications, and m

152 llected from the medical records as follows: demographics, diagnosis, visual acuity, clinical and ima

153 Data on participant demographics, diet, lifestyle, opium use, and different

154 Detailed data on demographics, diet, lifestyle, socioeconomic status, tem

155 ia were retrospectively analyzed for patient demographics, disease manifestations, and healthcare use

156 Patient demographics, donor cornea source, indications for graft

157 registered before 2018), including baseline demographics, donor, biochemical and clinical data at LT

158 Covariates included baseline demographics, duration of RRD, area of RRD, foveal statu

159 veness (interpersonal)-while controlling for demographics (e.g., birth country, English fluency, educ

160 o explore whether variations in legislation, demographics, economics, and health-care provision might

161 s were identified for analysis with baseline demographics, endpoints, protocol definitions, and outco

162 ortant to consider Kawasaki Disease in older demographics especially with undiagnosed hepatic disease

163 Demographics, etiology of SJS/TEN, age at treatment mile

164 Preoperative demographics, exodeviation and motility, intraoperative

165 f burnout, which appears to be influenced by demographics, fellow perceptions of their work environme

166 randomized into groups matched for baseline demographics, glaucoma status, and baseline IOP.

167 Study groups were well matched for baseline demographics, glaucoma status, medication use, and basel

168 Surgeon experience and patient demographics had inconsistent effects on workload.

169 Using patient demographics, health characteristics from hospitalizatio

170 This case series characterizes the demographics, health services use, and vital status and

171 using linear regression models adjusted for demographics, height, lifestyle behaviors, prevalent dis

172 Collected data included demographics, histopathologic details, survival, and rec

173 dministered glaucoma patient survey assessed demographics, history of glaucoma, knowledge and rate of

174 d our model using publicly available data on demographics; HIV prevalence by 5-year age bins, sex, an

175 There were no differences in patient demographics, IDH/MGMT mutation status, or treatment.

176 djust for county-level covariates related to demographics (ie, race and ethnicity), medical comorbidi

177 The aging population and racial demographics impact projections for future eye disease b

178 risk according to tumour subtype and patient demographics in patients with cancer in the UK.

179 al case characteristics, such as symptoms or demographics, in norovirus transmissibility is poorly un

180 gression models to adjust for differences in demographics, in-hospital therapies, and medications.

181 Patient demographics, including self-reported flares were record

182 f periodontitis, tooth alignment, or patient demographics, including sex.

183 Secondarily, we evaluated demographics, infection history, hospital charges, and i

184 Data included patient demographics, infliximab dosage information, additional

185 For each patient, we extracted demographics, injury characteristics, the timing and app

186 Demographics, insurance type, comorbidities, and encount

187 Data collected included basic demographics, insurance, BMI, family history of CRC, smo

188 Patient demographics, laboratory values, and outcomes were compa

189 ity with risk of incident CKD, adjusting for demographics, lifestyle behaviors, and cardiometabolic c

190 Covariates grouped in terms of demographics, lifestyle factors and co-morbidities and c

191 roportional hazards regression, adjusted for demographics, lifestyle factors, and body mass index.

192 ed with higher CAD risk after adjustment for demographics, lifestyle factors, and other CAD risk fact

193 enrollment, validated data were collected on demographics, lifestyle, and exposures, including detail

194 microbiome associations with an individual's demographics, lifestyle, and/or genetics are robust and

195 The study design, year, patient's demographics, mean time between admission and tracheosto

196 Patient demographics, mechanism of injury, cause, timing, and lo

197 REBOA details, demographics, mechanism of injury, complications, and ou

198 Demographics, medical histories, admission laboratory re

199 We collected demographics, medical history, and development of new-on

200 Baseline demographics, medical history, date of last DEX implant

201 Patient demographics, medical history, procedural details, and c

202 When adjusting for demographics, medications, types of infection, and illne

203 Despite difference in demographics, Meth-ICH is similar to Non-Meth ICH in hos

204 The validated demographics model (Harrell's C 0.62, 95% CI 0.59-0.65),

205 reviously developed risk prediction models-a demographics model, a hippocampal volume model, and a CS

206 range: 2.2 to 10.0 years) and adjusting for demographics, New York Heart Association functional clas

207 urvey that collated information on household demographics, occupant behaviour, building characteristi

208 Personal demographics, occupational factors, and clinic visit var

209 Patient demographics, ocular diagnoses, glaucoma tube shunt type

210 aucoma, including factors related to patient demographics, ocular history, and comorbidity.

211 Patient demographics, ocular history, type of drops used, durati

212 As such, the demographics of a paper's social media audience provide

213 e surgery (ACS) with a survey to examine the demographics of ACS surgeons, the exclusionary or biased

214 We compared socio-demographics of EVAR, LVAD, and TAVR recipients in Ontar

215 eviously low-incidence areas, the population demographics of IBD in the United States are also changi

216 this survey was threefold: (1) describe the demographics of periodontists and their practices in Vir

217 ve in most locations, although shifts in the demographics of reported cases were still indicative of

218 The more diverse the scientific styles and demographics of scientists who feel welcome, the stronge

219 As the demographics of the modern world skew older, understandi

220 es, but relatively little is known about the demographics of the researchers who post preprints and t

221 Comparison of baseline demographics of the unmatched cohort revealed that patie

222 cer clusters," considering the incidence and demographics of UM, these accumulations of cases is unex

223 Demographics of women who attended screening and results

224 Patient demographics, OFMD imaging, courses, and outcomes were a

225 Data on demographics, oncological history and comorbidities, COV

226 Demographics, operative data, perioperative pain medicat

227 Review of patient demographics, ophthalmologic examination results, and re

228 odone, oxymorphone, tramadol) accounting for demographics, opioid dose, comorbidities and pain condit

229 ficant differences between groups 1 and 2 in demographics or systemic risk factors except for lower G

230 Demographics, PAH clinical subtypes, comorbidities, and

231 al records were reviewed to obtain patients' demographics, physical signs, comorbidities, laboratory

232 We also collected data on demographics, preextracorporeal membrane oxygenation ven

233 Demographics, presentations, and testing outcomes were e

234 Data recorded included patient demographics, presenting symptoms, medications, coexisti

235 30-day postdischarge mortality adjusted for demographics, primary diagnosis, preexisting conditions,

236 Patient demographics, procedure details, and clinical outcomes d

237 chical regression was conducted to assess if demographics, psychological variables, and value orienta

238 swered a questionnaire investigating patient demographics, quality of life aspects, and their interes

239 tions in dimensions of psychometrics, IQ and demographics relate to changes in brain connectivity dur

240 After adjustment for baseline demographics, risk factors, and baseline levels of inter

241 Information on demographics, risk factors, and hospital outcomes of cas

242 e survival analysis, controlling for patient demographics, risk factors, and year of admission (Odds

243 e survival analysis, controlling for patient demographics, risk factors, and year of admission (odds

244 Features capturing information on demographics, risk factors, symptoms, treatments and pro

245 The survey included items on demographics, screening-related attitude, CRC screening

246 2007-2008) who had complete measures on BMI, demographics, SES, genetic data, and health behaviors.

247 onset of our longitudinal study, we gathered demographics, signs and symptoms, and descriptions of VI

248 in reduced life expectancy in patients with demographics similar to those of recent trials.

249 ory, as well as other measures that elicited demographics, sleepiness, social support, perceptions ab

250 unting for competing risks and adjusting for demographics, smoking, cancer treatment, and pre-existin

251 elucidate the complex relationships between demographics, social and spatial structure, abiotic and

252 After adjustment for demographics, socioeconomic status, comorbidities, predi

253 ng encounter, participants were surveyed for demographics, substance use, risk behavior (previous 3 m

254 Their baseline demographics, success rate of biliary cannulation, and t

255 the measured site, tumor, time, and patient demographics, suggesting institutional contextual effect

256 Patient demographics, surgical data, and complications were coll

257 Patient demographics, surgical details, subjective reported impr

258 Demographics, surgical, and histopathologic data were ca

259 The survey included questions about demographics, symptoms of burnout, the frequency of misi

260 Data were collected on baseline demographics, systemic and ocular comorbidities, ocular

261 rom the electronic medical record, including demographics, systemic antimicrobial use, imaging data,

262 including model structure, scope and scale, demographics, time horizons, counterfactuals, health res

263 Patient demographics, time of symptom onset, presenting clinical

264 Patient demographics, tissue characteristics, intraoperative par

265 This was the largest study of LHON demographics to date.

266 , and county-level census data on population demographics to estimate the geographic and social netwo

267 criteria, regardless of whether they fit the demographics traditionally associated with the disease.

268 Questionnaires were used to collect data on demographics, travel destination, medication compliance,

269 Patient demographics, treatment outcome, and corresponding IVCM-

270 Patient demographics, treatment variables, and hospital outcomes

271 Demographics, treatment, microbiologic results, and outc

272 Demographics, treatments, and OS were compared.

273 AAP) members assessing personal and practice demographics, trends in treatment modalities and practic

274 We included patient demographics, tumor characteristics, treatment, and soci

275 Patient demographics, tumor clinical size, AJCC stage, COMS size

276 ted individual patient-level data on patient demographics, tumour variables, and health-care provider

277 ected data on predictors including admission demographics, underlying medical conditions, outpatient

278 djusted for potential confounders, including demographics, urban/rural residence, systemic health (Ch

279 Patient demographics, use of PPIs, duration of use and dose were

280 ObservationProcedure: Patient demographics, VA, IOD, and stereopsis were compared betw

281 Both LF and NF groups had similar demographics, valve areas and indices.

282 Data was collected retrospectively and demographics, ventilatory settings and ABG results were

283 Data collected included the baseline demographics, visual acuity (VA), and number of intravit

284 Demographics, visual outcomes, OCT, and treatment data w

285 evelop classifier models using 24 variables (demographics, vital signs, laboratory, and respiratory v

286 Donor pool demographics, waitlist metrics, center competition, and

287 Patient casemix, staff demographics, ward and time variables are included as co

288 Demographics were assessed categorically, and response d

289 Differences in mean modified DQIS by demographics were assessed using linear regression.

290 Patient demographics were collected from medical records.

291 Demographics were compared, and univariate and risk-adju

292 Bivariate analyses of participant demographics were conducted with 8 types of perceived ha

293 Comparisons of demographics were made with published European and US re

294 Patient demographics were recorded using a questionnaire.

295 femoral access, and 189 (72%) had IJ access; demographics were similar between the groups.

296 Demographics were similar except more smokers in the exp

297 Participant demographics were: male (51.6%), White (58.1%), Black (9

298 Measures included demographics, work characteristics, and scales including

299 After adjusting for patient demographics, year of consultation, comorbidities, smoki

300 nd, we used 2:1 propensity score matching on demographics, year, and baseline comorbidities because o