ライフサイエンスコーパス: patient characteristics

1 data analysis to determine associations with patient characteristics.

2 lassifying atopy are not confounded by other patient characteristics.

3 reweight trial participants to reflect CPRD patient characteristics.

4 (IPD) have thus far mainly been explained by patient characteristics.

5 d treatments are available based on specific patient characteristics.

6 al use of MCS for MI with CS, unexplained by patient characteristics.

7 benefits observed in all subgroups based on patient characteristics.

8 esent or absent by 3 EEG readers, blinded to patient characteristics.

9 eloping models for each outcome using simple patient characteristics.

10 perative surgeon performance and confounding patient characteristics.

11 (RM) system that accounted for operative and patient characteristics.

12 breast MRI with mammography must account for patient characteristics.

13 ations describing epidemiological trends and patient characteristics.

14 pensity scores were formulated from baseline patient characteristics.

15 lume thresholds reflect outcomes relative to patient characteristics.

16 pensity score method were used to adjust for patient characteristics.

17 nfection, organ dysfunction type and number) patient characteristics.

18 e intervals of ERG expression in relation to patient characteristics.

19 mber of postbaseline assessments and several patient characteristics.

20 etermine how these phenotypes are related to patient characteristics.

21 ssociations between observation and selected patient characteristics.

22 ublic holidays after adjustment for standard patient characteristics.

23 st levels, respectively, after adjusting for patient characteristics.

24 extent to which treatment was determined by patient characteristics.

25 but this was attenuated after adjustment for patient characteristics.

26 n only partly be explained by differences in patient characteristics.

27 eatitis was not associated with any baseline patient characteristics.

28 e used depending on physician preference and patient characteristics.

29 using a risk calculator based on nodule and patient characteristics.

30 haracteristics, ex vivo characteristics, and patient characteristics.

31 w-intensity prescribers, with adjustment for patient characteristics.

32 val exists and is associated with individual patient characteristics.

33 e in mortality and readmission rates, beyond patient characteristics.

34 Descriptive statistics examined patient characteristics.

35 provider practice even after adjustment for patient characteristics.

36 calculator to report outcomes by region and patient characteristics.

37 stic regression models adjusted for selected patient characteristics.

38 s using a model based on routinely available patient characteristics.

39 igated their relation to stroke severity and patient characteristics.

40 d care, facility readiness, and provider and patient characteristics.

41 re and risks associated with BMI may vary by patient characteristics.

42 ssed associations between gut microbiota and patient characteristics.

43 anged from 22.5% to 55.6% based on different patient characteristics.

44 bsolute BMI thresholds but modified based on patient characteristics.

45 ion bias, and to allow for stratification by patient characteristics.

46 imprecise and unable to consider individual patient characteristics.

47 d be weighed carefully according to specific patient characteristics.

48 e used to adjust for baseline differences in patient characteristics.

49 and pathologic results were correlated with patient characteristics.

50 can be estimated based on readily available patient characteristics.

51 d to explore interactions between center and patients characteristics.

52 , the study examined differences in baseline patient characteristics, 30-day stroke and mortality, an

53 After adjusting for patient characteristics, 57 hospitals (26%) were identif

54 djusted for covariates was used, as follows: patient characteristics, access type (fistula vs graft),

55 Patient characteristics account for most of the variatio

56 When taken together, hospital and patient characteristics accounted for 12% (lower extremi

57 Though previous work has examined how patient characteristics affect sleep medication prescrip

58 by Cox proportional hazards regression with patient characteristics (age, sex, and Mini-Mental State

59 In vivo and ex vivo features, as well as patient characteristics (age, weight, height, body mass

60 no differences between groups with regard to patient characteristics: age (P = 0.78), underlying dise

61 tial effects of ExCR according to a range of patient characteristics: age, sex, ethnicity, New York H

62 e studies should include both contextual and patient characteristics along with care interventions.

63 ficant differences were found in hospital or patient characteristics among high, intermediate, or low

64 or treatment-by-subgroup interactions for 16 patient characteristics and 6 care-delivery characterist

65 Patient characteristics and adverse events were studied

66 In particular, a mismatch between patient characteristics and an asymptomatic population d

67 The effect of patient characteristics and anti-leukemic treatment on c

68 The effect of patient characteristics and antileukemic treatment on ci

69 We analysed patient characteristics and attitudes by IBS-D severity,

70 Patient characteristics and clinical and mycologic data

71 between severity and sensitization patterns, patient characteristics and clinical history, and to dev

72 We thus sought to evaluate the patient characteristics and clinical outcomes associated

73 Patient characteristics and clinical outcomes for patien

74 ysis showed no correlation between high-risk patient characteristics and composite complication rate.

75 Identifying patient characteristics and conditions associated with m

76 e hypothesized that daily activity varies by patient characteristics and correlates with established

77 ith regimen and dose variations according to patient characteristics and country.

78 lear whether NMR status is consistent across patient characteristics and current treatment choice.

79 ized incidence of endocarditis and trends in patient characteristics and disease etiology.

80 able from 1998 through 2013, with changes in patient characteristics and etiology over this time.

81 ALY, with ICER of $413579 per QALY for trial patient characteristics and event rate of 4.2 per 100 pa

82 valuation of radiation dose as a function of patient characteristics and examination type.

83 Baseline patient characteristics and function, sepsis severity, a

84 The influence of patient characteristics and hospital volume highlights t

85 The adverse event data were linked to patient characteristics and ICU and ward physician surve

86 Patient characteristics and ICU interventions were simil

87 After matching for patient characteristics and level of liver dysfunction,

88 halmic hospitalization after controlling for patient characteristics and medical comorbidities.

89 Certain patient characteristics and methods of self-harm, togeth

90 to determine the association between common patient characteristics and mortality across age-groups

91 ine any significant difference in mortality, patient characteristics and mortality data from the Nati

92 nd functional capacity are the result of key patient characteristics and multisystem dysfunction, inc

93 The patient characteristics and natural history of a particu

94 Patient characteristics and other MRSA risk factors were

95 We compared patient characteristics and outcomes among patients with

96 identify temperature trajectory groups, and patient characteristics and outcomes were compared betwe

97 c and culture order combinations in terms of patient characteristics and outcomes.

98 tient Register to retrieve information about patient characteristics and outcomes.

99 iographic laboratory investigators masked to patient characteristics and outcomes.

100 was used to assess the associations between patient characteristics and perception of no RAI choice

101 Patient characteristics and posttransplant outcomes were

102 owever, KT in Asian countries differs due to patient characteristics and practices.

103 evaluated using logit GEEs that adjusted for patient characteristics and probability of treatment.

104 The patient characteristics and procedures performed were si

105 Patient characteristics and processes of care; the numbe

106 ogeneous in terms of study design, settings, patient characteristics and quality.

107 rmed a discrete event simulation to forecast patient characteristics and rate of waitlist dropout.

108 Baseline patient characteristics and reaction results were analyz

109 Patient characteristics and restaging outcomes were summ

110 After adjustment for patient characteristics and Resuscitation Outcomes Conso

111 Controlling for patient characteristics and Sentinel Stroke National Aud

112 evaluated the distribution and frequency of patient characteristics and the need for invasive therap

113 Baseline patient characteristics and treatment outcomes were reco

114 Our objective was to compare patient characteristics and utilization patterns of EVAR

115 ssessing associations between other case and patient characteristics and visual acuity outcomes and (

116 Patients' characteristics and hematologic tests data at

117 Patients' characteristics and outcomes after extracorpor

118 are system, including location of diagnosis, patient characteristics, and care-seeking patterns assoc

119 e statistics were used to summarize baseline patient characteristics, and differences between those w

120 NSAID prescriptions, patient characteristics, and estimated glomerular filtra

121 Similar trajectory groups, patient characteristics, and outcomes were found in the

122 quality and extracted data on study design, patient characteristics, and outcomes.

123 ogeneous in terms of study design, settings, patient characteristics, and quality.

124 vestigators abstracted data on study design, patient characteristics, and virologic and safety outcom

125 Patient characteristics are associated with P2Y12 inhibi

126 ble logistic regression was used to identify patient characteristics as potential barriers to receivi

127 Patient characteristics associated with AAM titration an

128 This study was conducted to examine patient characteristics associated with antiretroviral t

129 g-term outcomes in childhood IF and identify patient characteristics associated with clinical endpoin

130 To identify baseline patient characteristics associated with early clinically

131 etrospectively analyzed to identify baseline patient characteristics associated with early clinically

132 Patient characteristics associated with escalation inclu

133 Patient characteristics associated with higher costs inc

134 We examined temporal trends and patient characteristics associated with hospitalization

135 2001 through April 2014 to investigate case-patient characteristics associated with onward transmiss

136 ce of PA among patients with advanced HF and patient characteristics associated with PA and GOCD.

137 of this study was to determine preoperative patient characteristics associated with postoperative ou

138 act logistic regression revealed no specific patient characteristics associated with relapse.

139 BU at a population-based level and determine patient characteristics associated with SAB.

140 We identified selected hospital and patient characteristics associated with short-term adver

141 gression to assess facility and provider and patient characteristics associated with these outcomes.

142 er lung transplantation (LTx), pretransplant patient characteristics associated with tobacco use, and

143 Our results identified patient characteristics associated with use of LT as pri

144 rral, percentage of completed referrals, and patient characteristics associated with varying levels o

145 lyses then examined and controlled for other patient characteristics' associations with nonadherence.

146 was no significant difference in observable patient characteristics at the 37 hospitals meeting the

147 es for study characteristics, interventions, patients' characteristics at baseline, and outcomes for

148 5, which were compared in terms of study and patient characteristics, baseline risk, outcome definiti

149 Due to substantial differences in patient characteristics between conservatively and surgi

150 s accommodated a propensity score to balance patient characteristics between the groups.

151 Differences in patient characteristics between the MSSP and control gro

152 There were no significant differences in patient characteristics between the two groups, except t

153 ned the distribution of demographic data and patient characteristics between those receiving ranibizu

154 outcomes may reflect baseline variations in patients' characteristics but may also result from diffe

155 rolled the participants, and incentives) and patient characteristics (cancer type, patient or parent

156 e platform, including FMT protocol, baseline patient characteristics, CDI cure and recurrence, and sh

157 To describe patient characteristics, clinical manifestations, diseas

158 ertension (SAPH) cohort to better understand patient characteristics, clinical outcomes, and manageme

159 Patient characteristics, clinical practices, mortality,

160 Clinical parameters included patient characteristics, comorbidities, symptom type and

161 Patient characteristics, contextual-level variables, and

162 tained from medical records and analyzed for patient characteristics, continuous renal replacement th

163 Patient characteristics could not be assessed.

164 Differences in patient characteristics, demographics, comorbidities, an

165 After adjusting for patient characteristics, diabetes was associated with hi

166 k- and reliability-adjusted expenditures for patient characteristics, diagnoses, and the use of addit

167 Patient characteristics did not predict poor outcomes.

168 Patient characteristics differed between the 2 observati

169 Patient characteristics, disease process, and surgical e

170 1998 to 2011 and retrieved data on tumor and patient characteristics, drug use, and primary treatment

171 The aim of this study was to determine how patient characteristics during the first severe virus-in

172 peared to be due primarily to differences in patient characteristics (e.g., cavitary disease).

173 DATA EXTRACTION: Baseline patient characteristics, enrollment time, methodology of

174 After adjustment for patient characteristics, episode payments for TAVR were

175 Logit models adjusted for patient characteristics evaluated in-hospital mortality,

176 Coupled with several patient characteristics, evolutionary parameters strongl

177 ating populations at "high risk" of closure (patient characteristics, facility characteristics, and g

178 compare resistance patterns, serotypes, and patient characteristics for Salmonella isolated from blo

179 as used to determine the predictive value of patients' characteristics for survival after adjusting f

180 terogeneity of this association by tumor and patient characteristics has not been adequately explored

181 Patient characteristics have been clearly defined, with

182 examined MACE in several subgroups based on patient characteristics (history of cardiovascular disea

183 Patient characteristics, hospital course, and complicati

184 In most scenarios of COVID-19 dynamics and patient characteristics, immediate KT provided survival

185 ore the possible effects of trial design and patient characteristics in accounting for the contrastin

186 weighted to match treatment effect-modifying patient characteristics in comparator trials.

187 A EXTRACTION: Two authors abstracted data on patient characteristics in exposed and control groups; u

188 If disease groups and patient characteristics in future studies produce an ACM

189 norms by matching the joint distribution of patient characteristics in the MEI sample to those of th

190 Patient characteristics in the NIS OCEAN were evaluated

191 Post hoc analysis of baseline patient characteristics in the randomized, open-label, v

192 Descriptive statistics were used to define patient characteristics, including age, prostate-specifi

193 Relevant patient characteristics, including age, sex, and dry eye

194 Patient characteristics, including diagnoses in the emer

195 Sensitivity analyses explored the effects of patient characteristics, institutional/surgeon volumes,

196 For the primary analysis, patient characteristics, interventions, and outcomes wer

197 Data for study design, patient characteristics, interventions, and study outcom

198 tly, and criteria do not specify how to take patient characteristics into account.

199 ability to simultaneously simulate dozens of patient characteristics is a crucial step towards person

200 ustment for both general and sepsis-specific patient characteristics is essential for valid internati

201 Data on patient characteristics, laboratory tests, follow-up vis

202 Patients' characteristics, long-term surveillance and fo

203 ve global registry collecting information on patient characteristics, management, and prognosis of ac

204 Patient characteristics, manifestation of TB, and treatm

205 Patients were categorized by patient characteristics (marital status, educational lev

206 f PHS on outcomes is independent of baseline patient characteristics, medical comorbidities, quality

207 onal swab and evaluated associations between patient characteristics, medications, the gastrointestin

208 e whether a relationship existed between the patient characteristics mentioned above and presentation

209 ital presentation for self-harm according to patient characteristics, method of self-harm, and variat

210 Patient characteristics modifying the associations and p

211 endemic among connected NFs and ACHs, making patient characteristics more informative of NF admission

212 Outcomes were correlated with patient characteristics, mutations, cytogenetics, induct

213 Treatment was modestly related to patient characteristics (Nagelkerke R range, 0.12-0.52)

214 onably complete data for a limited number of patient characteristics, namely age, sex, and ethnicity;

215 Patient characteristics of mSC users were analysed as we

216 Compared to the patient characteristics of published RCTs (trials select

217 No countrywide data exists on the patients' characteristics of lead exposure in Iran.

218 hic and clinical characteristics of enrolled patients, characteristics of participating centers, and

219 The effects of patient characteristics on adenosine dose required to pr

220 The influence of patient characteristics on the impact of edoxaban versus

221 Information regarding patient characteristics, operative data, and procedural

222 Data were collected on patient characteristics, operative, and postoperative fa

223 NPV was not influenced by patient characteristics or clinical risk profile and was

224 Patient characteristics, outcome measures, treatment reg

225 We aim to compare baseline patient characteristics, outcomes, and the efficacy and

226 The patient characteristics, overall outcomes and related si

227 ds, which account for potentially unmeasured patient characteristics, patients undergoing laparoscopi

228 Patient characteristics, perioperative outcomes, and sur

229 No differences were found in patient characteristics, persistent SRF or IRF, or on-st

230 of this study was to examine the incidence, patient characteristics, predictors, and outcomes of sur

231 Patient characteristics, preoperative baseline data, dur

232 To define the extent to which patient characteristics, procedural characteristics (res

233 Patient characteristics reflected stable, chronic HF wit

234 After adjusting for patient characteristics, relative to low-volume hospital

235 time to return of spontaneous circulation or patient characteristics requires prospective study.

236 veral risk factors are predictive, including patient characteristics, sedative exposure, additional s

237 children under 2 years of age in Scotland by patient characteristics, socioeconomic deprivation, and

238 Patient characteristics such as adiposity and biomechani

239 his is not fully explained by differences in patient characteristics such as age, sex, or comorbiditi

240 At other times patient characteristics such as health literacy supersed

241 the evaluation of calf DVT may be limited by patient characteristics such as obesity, edema, and tend

242 in outpatient ophthalmologic usage based on patient characteristics such as race/ethnicity, income,

243 Furthermore, patient characteristics, such as age and renal function,

244 ic characteristics in combination with other patient characteristics, such as early onset, cuticular

245 The relationship between common patient characteristics, such as sex and metabolic comor

246 ractice variation combined with identifiable patient characteristics suggest that further evaluation

247 the use of embolic protection independent of patient characteristics, suggesting opportunities for th

248 Patient characteristics, surgical and anaesthetic detail

249 This study sought to identify patient characteristics, surgical interventions, institu

250 ibiotic treatment groups after adjusting for patient characteristics, surrogate measures of disease s

251 This study describes patient characteristics, techniques, treatment patterns,

252 notransplantation trial, we propose a set of patient characteristics that define potential candidates

253 nter, suggesting that there may be center or patient characteristics that make prophylactic methylpre

254 should be familiar with imaging findings and patient characteristics that may help them identify pote

255 disease process or may represent preexisting patient characteristics that predispose to both infectio

256 The aim of this study was to identify patients' characteristics that may predict failure and r

257 However, after adjusting for sepsis-specific patient characteristics, the direction of effect reverse

258 After adjusting for general patient characteristics, there was an important change i

259 The MTB comprehensively reviewed patient characteristics to develop N-of-One treatments i

260 This study examines real-world patient characteristics, treatment patterns, healthcare

261 lity of MRD surrogacy for PFS across diverse patient characteristics, treatment regimens, and differe

262 Data were collected on patient characteristics, treatment, and 6-month Glasgow

263 Patient characteristics, treatment, and outcome were com

264 bdominal aortic aneurysms (FuAAAs) regarding patient characteristics, treatment, and outcome, to advi

265 National data on patient characteristics, treatment, and outcomes of crit

266 Information on patient characteristics, treatment, MRD assessment, and

267 This annual report focuses on patient characteristics, trends, and outcomes of transca

268 Patient characteristics, tumor characteristics, and no-t

269 Data were collected in 5 categories: general patient characteristics, tumor characteristics, prior tr

270 AFP level was evaluated against patient characteristics, tumour characteristics and surv

271 reated with metronidazole after balancing on patient characteristics using propensity score matching

272 ecision-making approach, taking into account patient characteristics, values and preferences, and oth

273 The correlation between DR and patient characteristics was evaluated.

274 Adding patient characteristics was of limited additional predic

275 After controlling for baseline patient characteristics, we found no significant differe

276 across the classes of medications, multiple patient characteristics were associated with a higher li

277 Several lesion and patient characteristics were associated with a low post-

278 No other patient characteristics were associated with PA.

279 both the N3I1 and the N1I3 arm, and baseline patient characteristics were balanced between arms.

280 Patient characteristics were balanced within trials and

281 Patient characteristics were compared among patients wit

282 Baseline patient characteristics were compared by indication with

283 Patient characteristics were compared using Chi-square o

284 Patient characteristics were compared.

285 ontributions of resuscitation parameters and patient characteristics were evaluated.

286 ared, and multivariable models adjusting for patient characteristics were fit.

287 Mortality rates adjusted for patient characteristics were higher for all minority gro

288 Readily available patient characteristics were included in Fine and Gray c

289 Patient characteristics were not assessed.

290 Patient characteristics were only assessed with RV infec

291 Patient characteristics were similar across the four qua

292 characteristics and clinic-level averages of patient characteristics were similar across the two arms

293 atients, 282 CT-toxin(+) and 200 CT-toxin(-) Patient characteristics were similar at testing, though

294 Baseline patient characteristics were similar in those given acet

295 Patient characteristics were statistically similar when

296 Hospitals' and patients' characteristics were analyzed to determine pre

297 he results of exercise provocation tests and patients' characteristics were retrospectively analyzed.

298 sk-standardization methodology to adjust for patient characteristics when comparing major adverse out

299 l multivariable analysis with adjustment for patient characteristics where volume was assessed as a c

300 tory associations between tumor genomics and patient characteristics with clinical outcomes were cond