ライフサイエンスコーパス: propensity

1 ein containing a region of increased helical propensity).

2 ovides a biochemical basis for its oncogenic propensity.

3 he native state is a hallmark of aggregation propensity.

4 xhibit a dramatic odd-even effect in helical propensity.

5 onomer diversity and peptoid helical folding propensity.

6 ow the least destabilization and aggregation propensity.

7 es with decreased hydrophobicity and seeding propensity.

8 t the RtoK mutant has a much diminished LLPS propensity.

9 tions centered on a single feature-the field propensity.

10 this could explain its enhanced aggregation propensity.

11 een amino acid sequence and phase-separation propensity.

12 ing competent and shows a higher aggregation propensity.

13 onomeric aSyn in relation to its aggregation propensity.

14 al wettability, and asymmetric salt-bridging propensity.

15 ning tau isoforms with different aggregation propensities.

16 tazobactam, with carbapenems as reference in propensity adjusted multivariate analysis; 542 patients)

17 ality in either univariate, multivariate, or propensity-adjusted analyses (odds ratio [OR], 1.14; 95%

18 Univariate and multivariate, including propensity-adjusted, analyses were conducted introducing

19 Hierarchical models with propensity adjustment were used for association analyses

20 and its current therapeutic analogs all show propensity, albeit varyingly, to self-associate into dim

21 se probability of treatment weighting (IPTW) propensity analysis was used to assess the effect of dif

22 sed, while breeding season length, renesting propensity and adult survival declined, with increasing

23 s and S epidermidis colonization and biofilm propensity and determine their associations with AD seve

24 gion of C. thermophilum IC has a low helical propensity and establishes that H2 binds directly to the

25 The aggregation propensity and seeding ability of this amyloid-forming s

26 ith a familiar mate improved future breeding propensity and survival.

27 consistent with winding/unwinding in helical propensity as the knot tightens to secure the SAM cofact

28 Amino acid propensities at a site change in the course of protein e

29 ng aversive effects that influence addiction propensity, but whose mechanisms are poorly understood.

30 rmatics, we show that a universal mutational propensity drives sites that are buried in multimeric in

31 These patterns indicate different propensities for CAG expansion contributed by disease lo

32 de an increase in inter-loop crosstalk and a propensity for a neutral binding surface, are sufficient

33 -substituted with the chiral moiety, shows a propensity for a solid-state sorting phenomenon.

34 The regional propensity for aneurysm formation in MFS may be related

35 his effect and argue that it may explain the propensity for atrial arrhythmias in HF.

36 failure (HF) is associated with an increased propensity for atrial fibrillation (AF), causing higher

37 t the iron-based catalyst benefited from the propensity for beta-diketiminate ligands to support low-

38 w reduced dendritic excitability and smaller propensity for burst firing.

39 lower number of charged sites decreases the propensity for Coulombic repulsions and unfolding/restru

40 posure (EAE) in male zebrafish increased the propensity for diet-induced obesity and fasting hypergly

41 daptive context-drug memories and reduce the propensity for drug relapse.

42 l expression in some organs induces a strong propensity for expression in particular organs in descen

43 ers reveal design considerations to tune the propensity for fiber formation and fiber mechanical prop

44 hat display a significantly higher predicted propensity for forming amyloid than antibodies that reco

45 in DNA, namely, oxidation sensitivity and a propensity for G-quadruplex (G4) folding, both of which

46 odels both show that cysteine has the lowest propensity for hinge-bending regions and proline has the

47 ey abnormalities that likely contribute to a propensity for inflammation.

48 Weakly hydrated cations showed less propensity for ion pairing and weaker affinity for the a

49 ions (IDRs) in G3BP1 regulates its intrinsic propensity for LLPS, and this is fine-tuned by phosphory

50 Although MCC has a high propensity for metastasis, little is known about the und

51 le machine learning algorithm to predict the propensity for neighborhoods to be classified as having

52 easures were unaffected, indicating that the propensity for post-mating effects on females is depende

53 viral infections and may partly explain the propensity for pre-symptomatic transmission in COVID-19.

54 H(Gad1) neurons may be critical to balancing propensity for relapse versus abstinence.

55 Men with high genetic risk had a higher propensity for repeated PSA testing within 2 years than

56 l lines relative to taxol or DDM; 3) reduced propensity for senescence induction relative to DDM; 4)

57 f Re to monitor active clusters, showing the propensity for steady, onward propagation.

58 recipients demonstrated that the heightened propensity for T(H) 2-cell differentiation was both T ce

59 on, whereby the previously implied increased propensity for TT luminal concentration imbalances at hi

60 Each cell's propensity governs how many place fields it has per unit

61 between these two species, and their biofilm propensity, has important implications for AD.

62 spectroscopy revealed robust helical folding propensity in acetonitrile.

63 ought to determine reasons for male-specific propensity in macrophage migration.

64 s matrix disassembly and increases migratory propensity in renal cancer cells.

65 oding regions display the highest structural propensity in the genome, forming motifs that differ bet

66 to understand the Anti-CD20 crystallization propensity in the solvent system of different compositio

67 zaproline exhibit strong trans amide rotamer propensities irrespective of ring conformation, while a

68 similar outcomes to non-ECMO patients when a propensity matched cohort was analyzed.

69 Using a propensity matched cohort, we found that rates of VTE we

70 rgery in an academic center (1998-2017) were propensity-matched 1:5 to nonsurgical patients who recei

71 In propensity-matched analyses, the incidence of the first

72 ecurrence in the minimally invasive group in propensity-matched cohort (HR, 2.83; 95% CI, 1.1 to 7.18

73 Subsequent analysis was performed in a propensity-matched cohort of recipients of HCV-viremic (

74 od recipients (2016-2019) were compared to a propensity-matched cohort who received at least 1 uncros

75 In the propensity-matched cohort, which included 27 705 patient

76 more) the lead failure rate observed in the propensity-matched comparator patients.

77 In propensity-matched groups, mortality was similar after b

78 dds ratio, 1.17 [95% CI, 1.02-1.33]; primary propensity-matched model adjusted odds ratio, 1.19 [95%

79 Generalized estimating equations, propensity-matched models, and marginal structural model

80 After propensity-matched pairwise comparisons were made, survi

81 A propensity-matched survival analysis of the ICD Registry

82 Propensity-matched, retrospective case-control analysis

83 nd inverse probability of treatment-weighted propensity matching (HR = 1.82, P < 0.001).

84 es for HCR and conventional CABG after using propensity matching to reduce selection bias.

85 After propensity matching with non-traumatic AKI-RRT cases wit

86 After propensity matching, complications were significantly hi

87 Following 1:1 propensity matching, patients with non-index readmission

88 Variables used for propensity-matching included age, BMI, race, diabetes, C

89 Caliper propensity-matching technique was used (caliper, 0.05) t

90 After propensity-matching, 2 groups of 1158 patients were crea

91 In this study, we evaluated the propensity of a 2010.1 H3N2 IAV (A/swine/Ohio/A01354299/

92 steroids also play an important role in the propensity of adults to develop a myriad of diseases.

93 arboxyl regions of alphasyn may modulate the propensity of alphasyn to pathologically misfold; 3) com

94 techniques predict the relative aggregation propensity of antibodies via precalculated scales for th

95 dsorbed As(III) and As(V) ions decreased the propensity of CeO(2) NPs to produce reactive oxygen spec

96 rapid, cost-effective methods to screen the propensity of different CBEs to induce Cas9-independent

97 The propensity of GPCRs to adopt different signaling modes i

98 Because of the strong propensity of LECs toward lytic replication, LECs mainta

99 experiments for studying the crystallization propensity of metal-organic nanocapsules (MONCs).

100 microscopy of ex vivo-formed PNAs revealed a propensity of necrotic platelets to interact with neutro

101 identified substantial heterogeneity in the propensity of NK cells to adopt an ILC1-like phenotype i

102 e neural circuitry may, in part, explain the propensity of particular lesions toward the development

103 fibril may explain the increased aggregation propensity of S20G, and illustrates a potential structur

104 mbers of the arrestin superfamily have great propensity of self-association, but the physiological si

105 scales for the hydrophobicity or aggregation propensity of single amino acids.

106 he singlet oxygen ((1)O(2)) photosensitizing propensity of some phenalenones was investigated, and th

107 indings establish a model for evaluating the propensity of swine IAV to transmit from pig to ferret a

108 Further, we show that the helical propensity of the H1 NTD is subtype-dependent and correl

109 The propensity of the peptide to fold into these structures

110 ignal and its deletion decreases the nuclear propensity of the protein in the model cell line.

111 The surface propensity of the proton can be attributed to the intera

112 ate deprotonation of adjacent hydrogens, the propensity of the resulting carbanions to undergo alpha-

113 of TRIM37 substantially reduced the in vivo propensity of TNBC cells.

114 tration of the isoform with high aggregation propensity, reducing the rate of its fibrillation.

115 ving mice, we explored whether and how burst propensity relates to pyramidal cell heterogeneity.

116 th numerous pre-existing secondary structure propensity scales resulted in relatively poor correlatio

117 h 3910 patients treated with SE-THV by using propensity score (25 clinical, anatomical, and procedura

118 istance matching, and fine stratification by propensity score (FS).

119 ss the effects of AC on outcomes, we applied propensity score (PS) matching and marginal structural m

120 le logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03-1.27; p = 0.007)

121 1 (aOR 1.15 95%CI 1.03-1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04-1.27; p = 0.007)

122 bstantial control of measured confounding by propensity score adjustment, and minimal residual system

123 After a propensity score adjustment, the difference was signific

124 A propensity score analysis (PSA) was used to compare outc

125 Moreover, propensity score analysis does not compensate for poor s

126 To reduce any selection bias, a propensity score analysis was applied.

127 rse probability of treatment weighting using propensity score analysis.

128 We constructed a propensity score and applied inverse probability of trea

129 hted Cox proportional hazards model, using a propensity score based on age, staging, surgery, chemoth

130 istic regression, propensity score matching, propensity score inverse probability of treatment weight

131 ly well-suited to settings where an exposure propensity score is difficult to model.

132 Propensity score match (PSM) analysis was performed with

133 A 1:1 propensity score match was performed to account for base

134 Patients were propensity score matched for age, body mass index, sex,

135 351 patients newly prescribed apixaban were propensity score matched to 39 351 patients newly prescr

136 Exposed infants (n = 38 473) were propensity score matched to nonexposed controls (n = 76

137 Children were propensity score matched using condition at admission an

138 Propensity score matching (ratio 1:2) was performed on t

139 In propensity score matching analysis, 7/159 (4.4%) recurre

140 Propensity score matching and Cox modeling were used for

141 t on postoperative complications with use of propensity score matching and multilevel, multivariable

142 Propensity score matching and multivariable analyses wer

143 Propensity score matching applied on the cohort of 151 p

144 Propensity score matching based on 23 baseline covariate

145 After propensity score matching BFP beneficiary to nonbenefici

146 Propensity score matching for baseline characteristics a

147 r balancing on patient characteristics using propensity score matching in each imputed dataset.

148 CI SNFs were matched with control SNFs using propensity score matching on 2013 SNF characteristics.

149 Propensity score matching resulted in 50 well-matched pa

150 Propensity score matching resulted in a pseudo-randomise

151 After stratifying the propensity score matching sample, this benefit persisted

152 s who were included (75 with quadritherapy), propensity score matching selected 64 unique pairs of pa

153 he trial-mimicking populations, we conducted propensity score matching to control for >120 preexposur

154 Propensity score matching was performed and differences

155 The 1:1 propensity score matching was performed by using 23 cova

156 Propensity score matching was used to minimize potential

157 Cox proportional-hazards model (PHM) and propensity score matching were used to identify predicto

158 gh a receiving operator curve analysis after propensity score matching with a series of female blood

159 apy; HR=0.90; 95% CI: 0.75-1.08; P = 0.25 in propensity score matching).

160 ould be dosed "enough," logistic regression, propensity score matching, and inverse probability weigh

161 Survival analysis, following propensity score matching, found no significant differen

162 that have been used in pharmacoepidemiology: propensity score matching, Mahalanobis distance matching

163 s were performed to control for confounders: propensity score matching, multivariable survival, and i

164 After propensity score matching, no differences in baseline ch

165 aditional multivariable logistic regression, propensity score matching, propensity score inverse prob

166 and 68 healthy control subjects selected by Propensity Score Matching.

167 sure and survival, cases were compared using propensity score matching.

168 incident tuberculosis was estimated through propensity score matching.

169 inical evidence of COVID-19 and eligible for propensity score matching.

170 l mortality using multivariable modeling and propensity score matching.Measurements and Main Results:

171 Propensity score methods in time-to-event analyses evalu

172 Propensity score methods were utilized to address confou

173 Analyses were conducted using propensity score overlap weighting to balance baseline c

174 After propensity score overlap weighting was applied, the haza

175 erse probability of treatment weighting, and propensity score stratification using this clinical ques

176 A 1:1 propensity score system accounted for nonrandom treatmen

177 After propensity score weighting, ECMO remained associated wit

178 After propensity score weighting, treatment with hydroxycholor

179 We used propensity score-adjusted regression models to determine

180 A one-to-one propensity score-matched analysis of patients who underw

181 riable Cox proportional hazards modeling and propensity score-matched analysis was used to compare th

182 In propensity score-matched analysis, CAUTI/1000-patients w

183 This retrospective, propensity score-matched case-control study assessed the

184 Furthermore, a 1:10 propensity score-matched cohort comprising AD patients w

185 An exploratory comparison of survival with a propensity score-matched cohort receiving standard nCRT

186 This Danish, nationwide, register-based, propensity score-matched cohort study used Cox regressio

187 Compared with the propensity score-matched cohort, a significantly longer

188 tion was not documented in the corresponding propensity score-matched cohorts.

189 0 through December 2015 (cases), and 449,840 propensity score-matched controls from Taiwan's National

190 ter CT with intravenous ICM to be similar to propensity score-matched ICM-unexposed patient groups; s

191 can Society of Anesthesiologists grade 1/2), propensity score-matched models, and patients with negat

192 Among 12 584 propensity score-matched pairs (mean [SD] age, 58.3 [10.

193 nsradial) in the overall population and in a propensity score-matched population involving 2978 trans

194 In the propensity score-matched population, VC related to the s

195 bserved in the total cohort and in 32 vs. 32 propensity score-matched recipients CONCLUSION:: NRP and

196 a), and their features were compared with 21 propensity score-matched recipients with FMF amyloidosis

197 We conducted a propensity score-matched study to explore the associatio

198 FMF-associated AA amyloidosis (group 1) and propensity score-matched transplant recipients (group 2,

199 US claims datasets (2013-2018) and were 1:1 propensity score-matched, adjusting for >95 baseline cov

200 Iterative propensity score-matched, survival (Cox regression and K

201 oral transcatheter aortic valve replacement; propensity score-matching identified pairs of patients w

202 There were 186 patients included in the propensity score-weighted cohort; 45 (24%) received TZP

203 t differ significantly between the groups by propensity score-weighted comparison: 10-year OS 89% (95

204 ithin 180 days of treatment initiation using propensity score-weighted Cox proportional hazards model

205 pertension and recipient graft failure using propensity score-weighted Cox proportional hazards regre

206 A propensity score-weighted logistic regression model was

207 core, genotype, level of BB exposure, and BB propensity score.

208 ame time (unexposed), using a time-dependent propensity score.

209 verse probability weighting according to the propensity score.

210 We employed a prevalent new-user design to propensity-score match, in a 1:2 ratio, patients switchi

211 rates compared between the test campus and a propensity-score matched cohort at the control campus.

212 OE) for esophageal cancer using a nationwide propensity-score matched cohort.

213 esophagectomy was equivalent to open in both propensity-score matched cohorts of patients undergoing

214 me comparison, contemporary OE controls were propensity-score matched from NSQIP and NCDB databases.

215 Outcomes were compared among propensity-score matched groups using Cox proportional h

216 Patients were propensity-score matched on the likelihood of undergoing

217 Compared with 2993 propensity-score matched patients undergoing a lateral o

218 ary analysis, and 4,264 were included in the propensity-score matched secondary analysis.

219 In this nationwide propensity-score matched study, DS as a BTS for LSOCC wa

220 A propensity-score matching analysis for MIE versus OE was

221 For comparison of in-hospital outcomes, propensity-score matching was employed.

222 Propensity-score matching was used to create 2 groups of

223 After propensity-score matching, early removal was associated

224 le Cox regression analysis, before and after propensity-score matching, stratified for patients with

225 Following propensity-score weighting, the distribution of baseline

226 We reported consistent results in propensity-score-matched analyses and after accounting f

227 Two propensity scores (for being male) were obtained for con

228 Propensity scores (patients' estimated probability of re

229 apy and patients who did not were matched by propensity scores based on factors associated with the u

230 These groups were matched using propensity scores based on patients' and hospitals' pote

231 patients in the early and late groups using propensity scores calculated on the basis of their basel

232 Using propensity scores for receipt of loop diuretics estimate

233 itors were matched by using time-conditional propensity scores to 208 757 recipients of DPP-4 inhibit

234 We used propensity scores to match 148 en bloc with 581 non-en b

235 Propensity scores were calculated based on baseline clin

236 azards models, adjusted for high-dimensional propensity scores, to generate adjusted hazard ratios (a

237 on-invasive management groups based on their propensity scores, to mitigate immortal time bias.

238 Using propensity scores, we created comparison groups of 375 n

239 ome studied, and models were weighted on the propensity scores.

240 re programmed to exhibit stronger adipogenic propensity than females.

241 e associated with different growth rates and propensities to acquire an additional hit.

242 ved features of IDRs to their conformations, propensities to form biomolecular assemblies, selectivit

243 To link metastatic propensity to a hypoxia-induced proteotype, we compared

244 Humans' propensity to acquire literacy relates to several factor

245 ht suffer from poor performance due to their propensity to adopt a lipophilic, nonfluorescent form.

246 l, but their utility is compromised by their propensity to aggregate during manufacture and storage.

247 d the slow blink stimulus, cats had a higher propensity to approach the experimenter after a slow bli

248 It does not alter their propensity to become dysfunctional, nor does it enhance

249 Intracellular recordings linked propensity to cell excitability.

250 r by a high mutational variance, that is the propensity to change under spontaneous mutation.

251 ins a major therapeutic challenge due to its propensity to develop resistance after an initial respon

252 man studies have provided weak evidence that propensity to discount cost imposed on drug seeking is a

253 ostate cancer cells is a determinant for its propensity to exhibit lineage plasticity, and supports t

254 rrelated the afterpotentials with the cells' propensity to fire bursts.

255 ulators of cancer pathogenesis that have the propensity to form amyloid-like fibrils reminiscent of t

256 athogenicity in humans is largely due to its propensity to form biofilms, surface-adherent bacterial

257 ults indicate that retromer has an intrinsic propensity to form low order oligomers on a supported li

258 Altering CA stability tended to increase the propensity to form morphologically aberrant particles, i

259 pGlu3-Abeta's neo-epitope character and its propensity to form neurotoxic oligomeric aggregates.

260 hich features of the ITS itself, such as the propensity to form secondary structures and telomeric pr

261 s predominantly exhibit polymorphism and the propensity to form solvates and hydrates.

262 bling peptide, Lys-Tyr-Tyr (KYY) with strong propensity to form supramolecular fibers, is utilized.

263 Human Abeta has higher propensity to form toxic Abeta species, which are consid

264 produce allergies have RNA polymerase with a propensity to generate RNA gaps, thereby causing transla

265 e, most human studies have not found greater propensity to habitual behaviour in drug users or as a f

266 We compared patients by matching them on the propensity to have received SAR versus MAR, within group

267 lyburide resulted in heavier neonates with a propensity to increased adiposity versus insulin- or met

268 pathogen life history characteristic is the propensity to induce an asymptomatic yet productive (tra

269 aryopherin RanBP5 and investigate its global propensity to interact with influenza A virus polymerase

270 esilience of some species may hinge on their propensity to live socially, but in so doing, this is li

271 s characterized by active proliferation, and propensity to metastasis in vivo.

272 gressive cancer of melanocytes with a strong propensity to metastasize.

273 second deadliest cancer in the US due to its propensity to metastasize.

274 The propensity to migrate, orientation and distance of migra

275 )], whereas all other devices demonstrated a propensity to over or underestimate at least one if not

276 Thus, the propensity to overeat may have a strong innate component

277 h VM via two Ca(2+)-binding loops, C2B has a propensity to partially dissociate.

278 ined unchanged even after accounting for the propensity to receive alemtuzumab induction.

279 ysteine must be tightly regulated due to its propensity to reduce iron and drive damaging Fenton chem

280 priate treatment, although with a persisting propensity to relapse.

281 iggest problem in drug addiction is the high propensity to relapse.

282 eature of coronary plaques with an increased propensity to rupture and to cause acute coronary syndro

283 anisms underlying altered susceptibility and propensity to severe Coronavirus disease 2019 (COVID-19)

284 ing lower susceptibility to infection, lower propensity to show clinical symptoms or both.

285 Thus, Budgerigars show a high propensity to stick to their individual, preferred fligh

286 compact size, simple structure, and natural propensity to tetramerize.

287 rly because of their lack of sensitivity and propensity to therapeutic antibody (t-mAb) interference.

288 sociated with fibre formation, have a strong propensity to undergo a liquid-to-solid transition when

289 ovirus GPs, has provided insights into their propensity to undergo fusion-related rearrangements.

290 Surprisingly, the reduced propensity toward aggregation and the stabilization of o

291 of their microvasculature with an increased propensity toward vasoconstriction.

292 ies, such as increased chemical stability or propensity towards self-assembly.

293 e function of RNA in tuning phase-separation propensity up or down, altering viscoelastic properties

294 Propensity varied ~10-fold between adjacent cells in sal

295 ential, interfacial tension, microdispersion propensity, water-soluble organics content and saturate-

296 a major potentially modifiable comorbidity (propensity weighted and matched effective sample size: 6

297 In the propensity-weighted analysis, the probability of the pri

298 However, propensity-weighted long-term mortality was higher follo

299 Propensity-weighted perioperative mortality was similar

300 We advance the concept of vaccine propensity, which relates a change in willingness to vac