ライフサイエンスコーパス: predictive factor

1 ased because of its role as a prognostic and predictive factor.

2 , while good BCVA at baseline was a negative predictive factor.

3 ues above the third quartile may have been a predictive factor.

4 and DDC genotypes were the strongest genetic predictive factors.

5 mental outcome for biochemical and molecular predictive factors.

6 greater in either eye) and associations with predictive factors.

7 ysician's choice rather than on well-defined predictive factors.

8 f GSD in Taiwan and its condition-associated predictive factors.

9 gender, and genetic variation are or may be predictive factors.

10 rane oxygenation and identify prognostic and predictive factors.

11 incidence of visual improvement and identify predictive factors.

12 screening and regional residential status as predictive factors.

13 undetectable BCR-ABL1 [Stable MR(4.5)]), and predictive factors.

14 the natural evolution of this condition and predictive factors.

15 ome measurements were occurrences of ERD and predictive factors.

16 to determine the functional consequences and predictive factors.

17 and neck cancer, esophageal cancer, and EGFR predictive factors.

18 rmance status were statistically significant predictive factors.

19 c decompensation after TIPS and identify the predictive factors.

20 multivariate regression applied to determine predictive factors.

21 teristic (ROC) curves were used to delineate predictive factors.

22 ence of ANA, and elevated ESR appeared to be predictive factors according to univariate analyses (P =

23 d that genotype 2/3 was the only independent predictive factor affecting HCV RNA negativity 6 months

24 is clinically important to discover reliable predictive factors after resection.

25 1 year of follow-up from the measurement of predictive factors (age, age at infection, geographic lo

26 he univariable model, including only CH as a predictive factor along with time and their interaction,

27 the univariable model including only CH as a predictive factor along with time and their interaction,

28 goal of this study was to determine the best predictive factor among image-derived parameters extract

29 itney, Kruskal-Wallis, and chi(2) tests) and predictive factor analysis for tumor growth and viabilit

30 detecting PCa can be increased by additional predictive factors and a combinations of markers.

31 eated in which point values were assigned to predictive factors and final risk score is correlated wi

32 is aimed to evaluate potential prognostic or predictive factors and mechanisms of resistance to adjuv

33 This study evaluated the predictive factors and prognostic value of new-onset per

34 Prospective validation of these predictive factors and the RSE is required.

35 tionship persists after adjustment for other predictive factors and timing of events.

36 maging, by investigators masked to potential predictive factors) and to assess adults' dependence.

37 iew the available evidence on the incidence, predictive factors, and clinical association of conducti

38 r study was to evaluate long-term responses, predictive factors, and management of relapse after vism

39 ng on the definition, incidence, mechanisms, predictive factors, and management of structural degener

40 This study aimed to evaluate incidence, predictive factors, and midterm outcomes of AKI in patie

41 ve of this study was to evaluate the timing, predictive factors, and prognostic value of cerebrovascu

42 This study sought to evaluate the incidence, predictive factors, and prognostic value of new-onset at

43 Prognostic and predictive factors are indispensable tools in the treatm

44 research is focused on further understanding predictive factors as well as ST frequency and timing in

45 HER2 has become an important prognostic and predictive factor, as well as a target for molecular the

46 y factors implies that inflammation is a key predictive factor associated with developing ERD and req

47 tein expression was shown and confirmed as a predictive factor associated with survival following bla

48 alysis identified KIR-L mismatch as the only predictive factor associated with the development of gra

49 present a new methodology for investigating predictive factors associated with development of vision

50 Predictive factors associated with increased risk of med

51 To identify predictive factors associated with operative morbidity,

52 Predictive factors associated with the diagnosis of acti

53 Predictive factors associated with the diagnosis of acti

54 ional study aimed at clarifying the risk and predictive factors associated with VCF.

55 MSI-H should be a predictive factor because it is associated with a higher

56 However, MSI-H is not a predictive factor because it is not related with better

57 We conclude MSI-H is not a predictive factor because the adjuvant therapy based on

58 An ROP prediction model using predictive factors could identify high-risk infants and

59 t Cox regression model, after adjustment for predictive factors (demographics, physiological and seve

60 els, controlling for relevant prognostic and predictive factors, disease-free (DFS) and overall survi

61 d that subtalar joint synovitis was the only predictive factor for abnormal subtalar and midtarsal ar

62 atment regimen was a significant independent predictive factor for all three end points; chemoimmunot

63 ic-regression analyses showed that DNI was a predictive factor for areas of lack of uptake on dimerca

64 Moreover, NPM1m PB-MRD may be used as a predictive factor for ASCT indication.

65 ately measured, PgR status is an independent predictive factor for benefit from adjuvant endocrine th

66 r presentation) is the single most important predictive factor for both early and long-term remission

67 hereas reversibility to bronchodilator was a predictive factor for both groups when adjusted by FEV1%

68 ostinflammatory pseudopolyps appears to be a predictive factor for cancer.

69 sivity (HI) in rats has been identified as a predictive factor for cocaine addiction-like behavior.

70 V1 both as % predicted and milliliters was a predictive factor for decline for BE-COPD and TS-COPD, w

71 lysis time was a significant and independent predictive factor for enterotomy (P = 0.004).

72 -DAA era represented an independent positive predictive factor for graft and patient survival (hazard

73 tor B was the most important single negative predictive factor for indication for step-down treatment

74 Drug tumor concentration was a significant predictive factor for lower tumor growth at 3 weeks (P =

75 he volume of bead in tumor was a significant predictive factor for lower tumor growth in multivariabl

76 cause of renal failure, represented the only predictive factor for MGUS development.

77 1), while journal citation rate was the most predictive factor for non-RCT quality (0.051 per doublin

78 nerally not been identified as a significant predictive factor for outcomes in geriatric patients und

79 er disease at baseline plays a major role as predictive factor for overall clinical outcome of hepati

80 hereas estrogen receptor status was the only predictive factor for overall survival (P = 0.01).

81 year old at diagnosis and was a significant predictive factor for overall survival [hazard ratio (HR

82 KRAS allele was consistently identified as a predictive factor for PFS or OS in patients receiving pa

83 A high GS at diagnosis is a strong predictive factor for positive (18)F-choline PET/CT scan

84 F-FDG PET/CT assessment remained as the only predictive factor for progression-free survival (P < 0.0

85 The baseline width of KT is a predictive factor for recession reduction when using the

86 plant ALC at 1 month remained an independent predictive factor for recurrence (P = 0.02, hazard ratio

87 Preoperative hypertony is a predictive factor for rejection irreversibility.

88 The marker is also a moderate negative predictive factor for response to alkylating agents and

89 to alkylating agents and a moderate positive predictive factor for response to anthracyclines.

90 bB-2 seems to be a weak to moderate negative predictive factor for response to endocrine therapy.

91 Finally, c-erbB-2 is a strong predictive factor for response to trastuzumab.

92 are the first to suggest that EGFR FISH is a predictive factor for selection of NSCLC patients for ce

93 Because age at puberty is a predictive factor for sow longevity and lifetime product

94 Levels of miR-29b should be validated as a predictive factor for stratification of older AML patien

95 An independent predictive factor for success after implantation was no

96 R copy number by FISH remained a significant predictive factor for survival after accounting for smok

97 TILs were not an independent predictive factor for survival.

98 ek post-ribavirin therapy was an independent predictive factor for SVR, and a decreased HEV concentra

99 yte count at the initiation of therapy was a predictive factor for SVR, while poor hematological tole

100 Peripheral refraction was a predictive factor for the amount of myopia developed onl

101 analyses revealed a high allelic ratio as a predictive factor for the beneficial effect of allogenei

102 ification/overexpression is a prognostic and predictive factor for the development of CNS metastases.

103 No independent predictive factor for the development of DSAs was identi

104 ODH is an independent predictive factor for the development of POAG in patient

105 ibodies to suppress MK growth is a potential predictive factor for the fetal response to maternal IVI

106 Viral phenotype was a predictive factor for the observed activity of the chime

107 At diagnosis, the only predictive factor for the occurrence of severe bacterial

108 accommodative lag is unlikely to be a useful predictive factor for the onset of myopia.

109 The strongest predictive factor for the presence of allergen-specific

110 The predictive factor for the presence of these positive IgE

111 and pain response to RT and can be used as a predictive factor for treatment response in patients wit

112 clinical outcomes suggests that LDH may be a predictive factor for treatment with this combination, c

113 chemia progression itself was an independent predictive factor for visual acuity loss (OR = 4.60, CI

114 ted the incidence, etiologies, outcomes, and predictive factors for 30-day mortality in patients with

115 The most influential predictive factors for 30-day mortality were ARF (HR = 3

116 s and III study publication were independent predictive factors for a positive phase III trial.

117 in the post-initial period were significant predictive factors for a successful procedure.

118 nfidence interval, 3.07-4.71) as independent predictive factors for advanced colorectal neoplasia.

119 protocol, which were evaluated as potential predictive factors for baseline BCVA and 2-year change i

120 Relevant predictive factors for BCVA change at month 12 were base

121 re make it difficult to establish definitive predictive factors for breast cancer-related lymphoedema

122 se of clinical information and biomarkers as predictive factors for cognitive decline in patients wit

123 Predictive factors for contralateral lesions were age, >

124 After multivariate analysis, predictive factors for conversion included recurrent dis

125 No predictive factors for decreased antibodies after bortez

126 d duration of follow-up were investigated as predictive factors for development of disability during

127 CLUSION These biomarkers do not appear to be predictive factors for differential survival between gef

128 most human breast cancers and are important predictive factors for directing therapy.

129 Positive predictive factors for EFS were age younger than 10 year

130 udine (LdT) or entecavir (ETV) and to assess predictive factors for eGFR improvement.

131 t the overall activity is minimal, and known predictive factors for EGFR inhibitor efficacy are infre

132 outcome was the incidence of enterotomy, and predictive factors for enterotomy were assessed through

133 Predictive factors for erosive tooth wear were assessed

134 To compare rates and identify predictive factors for events that represent worsening o

135 Predictive factors for FI by multivariate regression inc

136 Three independent predictive factors for GD were identified: a history of

137 In multivariate analysis, significant predictive factors for grade 3-4 toxicity were IRI arm (

138 Independent predictive factors for graft failure included donor-posi

139 tcome measures were incidence, risk factors, predictive factors for hospitalization and surgical inte

140 This review examines recent literature on predictive factors for hypocalcemia, measurement of seru

141 Predictive factors for improved outcome include clinical

142 The Rockall score and rebleeding were predictive factors for in-hospital mortality.

143 Identifying genetic predictive factors for leprosy reactions may have a majo

144 with type 2 diabetes (T2DM) and to identify predictive factors for long-term diabetes remission and

145 actors in the development of the disease and predictive factors for mortality from the years 2007 thr

146 ma, and epithelial extrusion events serve as predictive factors for mortality in our infection model.

147 Predictive factors for myopic growth were explored.

148 Multivariate analysis identified six predictive factors for NASH: the diagnosis of hypertensi

149 WOPN into paracolic gutter were significant predictive factors for need of subsequent open operative

150 non-index hospital readmissions, and explore predictive factors for non-index readmission.

151 Predictive factors for nontransplantability due to recur

152 ients with ocular hypertension (OHT) and the predictive factors for ODH are very similar to those for

153 DH for the development of POAG; and identify predictive factors for ODH.

154 % CI: 1.15-2.08; P = 0.004) were independent predictive factors for OS.

155 We assessed the predictive factors for outcome and response in 123 patie

156 An understanding of predictive factors for peri-implant disease and implant

157 Independent predictive factors for poor socioprofessional outcome we

158 A multivariable analysis of predictive factors for posttransplant survival was perfo

159 tion margin status were the only independent predictive factors for prolonged disease-free survival.

160 1.39-5.64; P = 0.004) emerged as independent predictive factors for PTDM.Meta-analysis of present and

161 Significant predictive factors for readmission were age (>/=69 years

162 We sought to determine predictive factors for selective laser trabeculoplasty (

163 d the development of mucositis were the only predictive factors for severe respiratory complications.

164 ical and epidemiological characteristics and predictive factors for severity of RSV-associated ARI.

165 g phase II studies were reviewed to identify predictive factors for success of the subsequent phase I

166 We evaluated predictive factors for successful catheter drainage.

167 Predictive factors for survival and whether the palliati

168 The most predictive factors for survival were LDH concentration a

169 virin monotherapy (N = 255), to identify the predictive factors for SVR, and to evaluate the impact o

170 was compiled to identify robust pretreatment predictive factors for SVR.

171 rectomy for early graft loss and to seek the predictive factors for the development of DSAs.

172 e, and urinary bilirubin and urobilinogen as predictive factors for the diagnosis of CN.

173 TS) provided important information regarding predictive factors for the eventual development of glauc

174 ion and DNA copy number are some of the most predictive factors for the growth and behavior of human

175 Recipient age and lens status are predictive factors for the occurrence of rejection.

176 e findings suggest CTRPs may be the superior predictive factors for the vascular lesion of CAD and re

177 t little is known about the incidence of and predictive factors for these skeletal complications.

178 ' characteristics were analyzed to determine predictive factors for transfer and FTR.

179 To identify predictive factors for transplantation outcome, we studi

180 unstable or stable, and we investigated the predictive factors for unstable coronary lesions.

181 Predictive factors for VF improvement included several i

182 non-infectious complications as modifiable, predictive factors for VGIs and, therefore, as keys to i

183 Fetal cardiovascular data, predictive factors for, and duration of TTTS and cord bl

184 Endpoints were the incidence of, and predictive factors for, positive CRM.

185 We aimed to establish the likelihood of, and predictive factors for, this improvement in function.

186 vitreous seeds at presentation was the only predictive factor found for high-risk histopathologic fe

187 A prognostic score based on the predictive factors from the Cox model was developed.

188 to 60.2%) when using a combination of known predictive factors (genetic mutations, motor features, o

189 A functional link between the two predictive factors has not been previously shown.

190 e after ICR for CD can be up to 60%, but its predictive factors have never been evaluated in large pr

191 Predictive factors have not been systematically assessed

192 curred in 23% and margin status was the only predictive factor (HR 2.24, p = 0.039).

193 th unmutated IGHV, which was identified as a predictive factor in a multivariable treatment-interacti

194 erbB-2 (HER-2, c-neu) might play a role as a predictive factor in breast cancer.

195 ability, and facilitate the use of TMTV as a predictive factor in DLBCL patients.

196 um bilirubin has been shown to be a negative predictive factor in melioidosis patients.

197 Whether BMI is a prognostic or predictive factor in metastatic CRC (mCRC) is unclear.

198 ted conventional parameters, is an important predictive factor in patients with rectal cancer.

199 to evaluate whether age was a prognostic or predictive factor in the HERA trial.

200 ff rate, but not tetramer avidity, was a key predictive factor in the representation of individual cl

201 ospective study examined fibrosis stages and predictive factors in African Americans with HCV monoinf

202 expression are not significant prognostic or predictive factors in resected stage II or IIIA NSCLC.

203 le sex (p = 0.023; p = 0.038) as independent predictive factors in the combined patient group and in

204 principle of developing molecular markers as predictive factors in treatment decisions.

205 ter than 10 cm, and fistula were significant predictive factors in univariate analysis.

206 o be a negative prognostic factor, but not a predictive factor, in advanced NSCLC treated with either

207 plored the extent of staff distress, and its predictive factors, in a sample of United Kingdom nursin

208 Other predictive factors included female sex (odds ratio [OR]

209 ponses were noted even in patients with poor predictive factors, including those with advanced hepati

210 r follow-ups (P < 0.0001).Age was a negative predictive factor [odds ratio (OR): 0.96 each year incre

211 Likewise, NGAL was also an independent predictive factor of 28-day mortality together with Mode

212 igh NGAL levels, and NGAL was an independent predictive factor of AKI progression.

213 estion of whether NPM1m MRD may be used as a predictive factor of allogeneic stem cell transplantatio

214 sk of relapse and appeared as an independent predictive factor of an improved overall survival (P = .

215 The potential role of HtrA1 as a predictive factor of clinical response to chemotherapy w

216 ging (2 or 3 vs 1) was the only preoperative predictive factor of CMSC [hazard ratio (HR) = 2.10; 95%

217 The best predictive factor of CO(2) -Q(10) for intact grassland w

218 Age is the most predictive factor of EFS in PEMGCT.

219 ariate analysis, CD was the only independent predictive factor of falls (odds ratio, 10.2; 95% confid

220 Simply having IBD was proven to be a predictive factor of fracture.

221 = 8.16, P = 0.002) was the only independent predictive factor of grade B or C PF.

222 ntified the MELD score as strongest positive predictive factor of HE recurrence with a cutoff of 11 f

223 No predictive factor of LN+ (base, resection margins, grade

224 function (P = 0.009) and was an independent predictive factor of long-term graft survival (P = 0.033

225 In conclusion, reduced PDW is an unfavorable predictive factor of NSCLC patient survival.

226 Pancreatic fatty infiltration is a predictive factor of PF, but accurate preoperative asses

227 Posthepatectomy PVP is an independent predictive factor of PLF and of 90-day mortality after m

228 The most predictive factor of poor outcome was the degree of bile

229 ent of RAD001 and suggest that AIB1 may be a predictive factor of RAD001 response.

230 ipation in the PSAP was the only independent predictive factor of retention for all classes (OR, 4.7;

231 rtality and recruitment-turnover-is the most predictive factor of species richness, implying that sma

232 unger than 40 years was the only independent predictive factor of the ability to reach optimal values

233 in-based chemotherapy, and propose Noxa as a predictive factor of therapeutic response.

234 epolarization abnormalities were independent predictive factors of a primary cerebrovascular etiology

235 regression was performed to determine early predictive factors of a recent coronary occlusion (inclu

236 .19 [5.39-19.26], p < .001) were independent predictive factors of a recent coronary occlusion.

237 recovery (odds ratio, 1.04; P < 0.0001) were predictive factors of complete 6-mo recovery.

238 al cohort study including 89 Ebola patients, predictive factors of death were analyzed.

239 e this population's features and to identify predictive factors of developing HCC.

240 etastatic melanomas can be used as molecular predictive factors of disease outcome.

241 In multivariate analysis, predictive factors of early discharge were body mass ind

242 ticancer immunity, but little is known about predictive factors of efficacy.

243 e (IBD) and healthy subjects and to identify predictive factors of fracture.

244 age and severe fibrosis at HCV diagnosis are predictive factors of HCC occurrence.

245 r percutaneous mitral commissurotomy enables predictive factors of late results to be identified.

246 , quantify adverse event rates, and identify predictive factors of long-term success.

247 Our aim was to evaluate the frequency and predictive factors of loss of response (LOR) to adalimum

248 The primary endpoint was to analyze the predictive factors of lymph node involvement (LN+).

249 Independent predictive factors of mortality were MELD score and E/e'

250 Independent predictive factors of no reversibility of type-1 HRS wer

251 The predictive factors of NOAF were left atrial (LA) size (o

252 ado and AIR scores were the only independent predictive factors of NOM failure after multivariate ana

253 e logistic regression examined independently predictive factors of pneumonia and oncologic outcomes.

254 A multivariable Cox model identified 7 predictive factors of poor late functional results: high

255 ges were evaluated using SD-OCT to determine predictive factors of postoperative BCVA.

256 Significant predictive factors of posttransplant survival included a

257 In our study the key predictive factors of protein-RNA interactions were the

258 8; P = 0.019) were identified as independent predictive factors of reduced postoperative morbidity.

259 ancer (ESBC) and to define the incidence and predictive factors of reduced relative dose-intensity (R

260 th and explored the prevalence, outcome, and predictive factors of renal flares.

261 Predictive factors of second graft survival were sought.

262 all data were analyzed in order to identify predictive factors of short and long-term mortality.

263 Predictive factors of sICH were: thrombolysis in cerebra

264 phase II to phase III trial were independent predictive factors of success in a phase III trial.

265 Predictive factors of survival were analyzed by univaria

266 We also assessed response and predictive factors of sustained response.

267 n analysis was performed to assess potential predictive factors of technical failure of MR elastograp

268 istance mechanisms with the need to identify predictive factors of therapy response.

269 Cox regression was used to identify predictive factors of these outcomes.

270 Predictive factors of tumor progression and overall surv

271 and decreased platelet count (P < 0.05) were predictive factors of worsening HE in the acetaminophen

272 Our aim was to identify predictive factors of worsening HE, including the relati

273 surgery performed without delay may identify predictive factors or interventions that could decrease

274 onary edema as a complication were favorable predictive factors (p < .05).

275 entage of the platelet fall were independent predictive factors (p<0.01 and 0.005, respectively) of p

276 We assessed the frequency and predictive factors related to intraocular pressure (IOP)

277 mab use in NMOSDs, considering the potential predictive factors related to patient response to rituxi

278 Thus, predictive-factor testing of tumour biopsy samples may a

279 ion, none of these markers has proved better predictive factors than tumour stage and histological gr

280 ivalent refractive error was the single best predictive factor that performed as well as all 8 factor

281 is of growth of this tumor, and there are no predictive factors that are useful in an individual pati

282 Research is needed to identify and validate predictive factors that can be used to select patients w

283 We have also modeled predictive factors that could help stratify mortality ri

284 study should prompt the characterization of predictive factors that may contribute to an acceleratio

285 k of adjacent paranasal sinus disease may be predictive factors that suggest MRSA as the causative or

286 n DFU pathogenesis and could be an important predictive factor to take into account.

287 ting allergen doses, specific IgE levels and predictive factors to the outcome of FCs in children.

288 Regardless of the predictive factor used, a tailor-made approach is recomm

289 after RP when controlled for known clinical predictive factors was not statistically different.

290 Additional postresection predictive factors were absence of postresection morbidi

291 ntensity reduction of > 33%, the significant predictive factors were alkaline phosphates > 2 x upper

292 Predictive factors were assessed by Cox regression analy

293 Potential predictive factors were assessed.

294 ost-surgery: relative risks (RR) summarising predictive factors were determined, unadjusted, and afte

295 Additional predictive factors were exposure to cytoreductive agents

296 Predictive factors were identified through stepwise logi

297 for unexpected hospitalization, significant predictive factors were MMSE </= 27/30 (OR, 4.56) and Ge

298 he cohort of AAV patients, the most strongly predictive factors were previous history of cardiovascul

299 operating characteristic (ROC) curves of the predictive factors were used to identify their optimal c

300 on of inflammatory biomarkers to established predictive factors will improve accuracy.