ライフサイエンスコーパス: prognostication

1 inical metric for patient stratification and prognostication.

2 diagnosis, direction of therapy, and refined prognostication.

3 commonly collected biomarkers could enhance prognostication.

4 f both quantifications on classification and prognostication.

5 on, have implications for screening and risk prognostication.

6 ologic diagnosis improves classification and prognostication.

7 ffects on family, emotional predictions, and prognostication.

8 te such changes in their decision making and prognostication.

9 ric blindness is important for treatment and prognostication.

10 CT (SPECT) to early diagnosis, treatment and prognostication.

11 ctors at diagnosis is recommended for better prognostication.

12 es add significant value for clinical course prognostication.

13 or sedation, analgesia, anticoagulation, and prognostication.

14 or yielding polygenic risk scores (PRSs) for prognostication.

15 tures in enabling patient stratification and prognostication.

16 melanoma-specific GEP testing for molecular prognostication.

17 Initial values were not helpful for prognostication.

18 vity into a prognostic model provides a good prognostication.

19 alid and indistinguishable in their survival prognostication.

20 n guiding therapy, as well as individualized prognostication.

21 mportant not only for diagnosis but also for prognostication.

22 ould provide better precision for AKI course prognostication.

23 ally informative gold standard for molecular prognostication.

24 n for men undergoing prostate biopsy and for prognostication.

25 into disease biology, as well as staging and prognostication.

26 design of future prevention trials and guide prognostication.

27 ntial as biomarkers for cancer diagnosis and prognostication.

28 disease severity, neurologic involvement, or prognostication.

29 data and can be combined to further enhance prognostication.

30 as such assessments do not routinely improve prognostication.

31 superseded the importance of the physician's prognostication.

32 onitoring for tumor recurrence, and accurate prognostication.

33 stratification in ependymoma mandates better prognostication.

34 ysicians and prior experiences with accurate prognostication.

35 in a more precise tailoring of treatment and prognostication.

36 of invasive treatment strategies and patient prognostication.

37 termining factor in ERalpha-positive patient prognostication.

38 e equivalent in their ability to enhance GEP prognostication.

39 onsistent tumor categorization and to refine prognostication.

40 experienced centers offers effective cardiac prognostication.

41 ulted in distinct patient classification and prognostication.

42 need for a better genomic strategy to refine prognostication.

43 pecially as applied to clinical practice and prognostication.

44 d a major basis for unfavorable neurological prognostication.

45 e patients would be useful in management and prognostication.

46 current prediction models might improve ILD prognostication.

47 of leukodystrophies, requiring adaptation of prognostication.

48 n has been validated for uveal melanoma (UM) prognostication.

49 eoperative SIII contributed significantly to prognostication.

50 deal candidate for targeted therapeutics and prognostication.

51 these biological factors may further refine prognostication, 30 cytokines and chemokines were measur

52 Lack of prognostication about outcomes, discordance between surr

53 dependently predicted survival, improved CLL prognostication accuracy compared with FISH karyotype (P

54 rodegenerative diseases, and our approach to prognostication after ICH.

55 ion improved rates of appropriate neurologic prognostication after OHCA but did not increase survival

56 idemiology, pathophysiology, management, and prognostication after return of sustained circulation af

57 an nerve somatosensory evoked potentials for prognostication, although the latter has been demonstrat

58 ongoing multiorgan failure is warranted for prognostication and clinical decision-making in the post

59 to better understand the algorithm's role in prognostication and clinical management.

60 (SM) is markedly variable, which complicates prognostication and decision making regarding the choice

61 s of AChA infarct patterns may improve early prognostication and decision-making.

62 CBF-AML that will likely result in improved prognostication and development of novel, risk-adapted t

63 uld lead to network-based clinical tools for prognostication and disease monitoring.

64 e findings have substantial implications for prognostication and donor selection.

65 proving diagnostic accuracy, allowing better prognostication and earlier access to potential disease-

66 ons and examine several models used for risk prognostication and for estimating the presence of minim

67 d in the clinical setting to improve post-MI prognostication and identify appropriate therapies in pa

68 n system with the potential to revolutionize prognostication and impact treatment.

69 This helped in better prognostication and in reserving corneal reconstructive

70 utility in early and preclinical diagnosis, prognostication and individualization of therapy.

71 tions in accurate and preclinical diagnosis, prognostication and individualization of therapy.

72 These findings can aid clinical prognostication and inform future investigations into po

73 ignant peripheral nerve sheath tumor (MPNST) prognostication and management are needed.

74 update on the contemporary evidence guiding prognostication and management of CIS.

75 tion of AKI subphenotypes could improve risk prognostication and may be useful for predictive enrichm

76 These factors should be used for prognostication and patient stratification in future cli

77 ing the value of proteome quantification for prognostication and phenotypic classification.

78 FA may aid prognostication and provide a biomarker for therapeutic

79 ure of FO therapy in treating IFALD to guide prognostication and referral guidelines.

80 ation, and provide a schema for more precise prognostication and refined therapeutic approaches.

81 rs after an intervention, complicating early prognostication and rendering trials of promising neurop

82 ter studies are required in order to improve prognostication and resource allocation.

83 e little population-based data available for prognostication and risk stratification in these patient

84 ers are a potentially attractive adjunct for prognostication and risk stratification.

85 Clinical tools for prognostication and risk-stratification are needed.

86 ect and refinement would allow more accurate prognostication and selection of patients for transplant

87 providing valuable information for informing prognostication and service planning, and improving our

88 sed on objective parameters provides refined prognostication and supplements the BCLC classification.

89 Improved prognostication and the availability of predictive bioma

90 Themes related to how clinicians perform prognostication and their accuracy were reviewed and ext

91 ly on BCC in the very elderly, together with prognostication and their relation with HRQoL in both th

92 ing of differential genetic risk may improve prognostication and therapeutic decision making for all

93 further insight into disease classification, prognostication and therapeutic targets.

94 ltiple sclerosis (MS), might greatly benefit prognostication and therapy assessment.

95 olecular heterogeneity currently confounding prognostication and therapy development.

96 Recent advances in screening; prognostication and therapy for esophageal adenocarcinom

97 ed estimate of survival is needed for better prognostication and to anticipate evolving adult care ne

98 g determines extent of disease, facilitating prognostication and treatment decision making.

99 allel rise in the use of biomarkers to guide prognostication and treatment decision-making.

100 ell as the emerging role of MRD detection in prognostication and treatment decisions.

101 ST2 may be helpful in clinical practice for prognostication and treatment monitoring.

102 enomic data poised to enhance the diagnosis, prognostication and treatment of cancer.

103 tistical and structural modeling improve the prognostication and treatment of HHT.

104 osis and severity of HF but also can improve prognostication and treatment strategies.

105 tood, presenting a non-trivial challenge for prognostication and treatment.

106 terns may facilitate a precision approach to prognostication and treatment.

107 ies for disease prevention, early detection, prognostication and treatment.

108 Our study supports delaying prognostication and withdrawal of life-sustaining treatm

109 rofiling also holds the potential to improve prognostication and, more generally, clinical decision-m

110 surrogates' miscomprehension of physicians' prognostications and from surrogates holding more hopefu

111 c information allows for improved diagnosis, prognostication, and cascade family testing to identify

112 poor settings and focus on needs assessment, prognostication, and cost effectiveness.

113 y is important for clinical decision making, prognostication, and decisions regarding timing of surgi

114 stocytosis, with emphasis on classification, prognostication, and emerging new treatment options in a

115 ision-making in patient management, improved prognostication, and evidence-based treatment selection.

116 ier diagnosis, impacting medical management, prognostication, and family planning.

117 ardiologists refine the indications, timing, prognostication, and follow-up of patients before and af

118 nicity and possible targets for diagnostics, prognostication, and interventions.

119 otracers for imaging to assist in diagnosis, prognostication, and monitoring response to therapy.

120 metastatic neuroblastoma phenotype, improve prognostication, and reveal novel therapeutic targets.

121 enabling improved diagnostic classification, prognostication, and therapy selection for many diseases

122 lutionizing our approach to their diagnosis, prognostication, and therapy.

123 actice with PV patients regarding diagnosis, prognostication, and therapy.

124 nvestigations for patient stratification and prognostication, and to determine intermediate endpoints

125 that should facilitate etiologic discovery, prognostication, and treatment advances.

126 cation studies, the practice of neurological prognostication, and withdrawal of life-sustaining treat

127 dentification of sepsis, risk stratification/prognostication, and/or guidance of antibiotic decision-

128 tress-related biomarkers in early diagnosis, prognostication, and/or in evaluating responsiveness to

129 early-stage colon cancer; new insights into prognostication; and emerging predictive biomarkers that

130 ed for early detection, disease staging, and prognostication, as well as for assessing disease activi

131 al diagnosis of uveal melanoma who underwent prognostication at the time of primary therapy.

132 (total, 1272 patients), and further refined prognostication based on the European Leukemia Net class

133 e self-administered by the patients prior to prognostication (baseline) and at 3 and 12 months afterw

134 ssion, anxiety, and decision regret prior to prognostication (baseline) and at 3 and 12 months afterw

135 es the Dohner hierarchical model and refines prognostication beyond immunoglobulin mutational status,

136 cardiac troponins T and I (TnT and TnI) for prognostication, but many centers do not offer NT-proBNP

137 lysis (TLG) are most commonly used for NSCLC prognostication, but their prognostic value remains cont

138 basal diameter (LBD), and tumor thickness on prognostication by gene expression profiling (GEP) class

139 encoding nucleophosmin [NPM1]) could improve prognostication by identifying submicroscopic disease du

140 Validation of long-term functional outcome prognostication by the max-ICH Score provided good and s

141 Inaccurate interpretations of physicians' prognostications by surrogates arise partly from optimis

142 es to the CSRS did not significantly improve prognostication (c-statistic, 0.89 and 0.90; P = 0.12 fo

143 ely that further refinements in genomic risk prognostication can be achieved.

144 The accuracy of patient prognostication can be enhanced by tumor cytogenetics.

145 nt-of-care echocardiography for intra-arrest prognostication, cardiac arrest caused by pulmonary embo

146 agnostic classification (binary outcome) and prognostication (censored survival outcome).

147 ediction, the proposed-RPA provided superior prognostication compared with the other systems.

148 he possibility that inaccurately pessimistic prognostication could lead to the withdrawal of life-sus

149 balance the concern that overly conservative prognostication could leave patients in a severely disab

150 Independent predictors of survival may guide prognostication, decision-making, and allocation of medi

151 e primary outcome was appropriate neurologic prognostication, defined as (1a) no early withdrawal of

152 t that utilizing deep sequencing may improve prognostication during influenza infection and could hel

153 cation, functional assessment, and oncologic prognostication, elderly patients with cancer can do as

154 e genomic predictor of treatment response or prognostication feature in RCC, emerging research sugges

155 oma from May 2009 to July 2013 who underwent prognostication fine-needle aspiration biopsy (FNAB) wer

156 hese biomarkers may increase the accuracy of prognostication following radical prostatectomy using fo

157 easingly being used to improve diagnosis and prognostication for acute and chronic kidney diseases.

158 addition to age, sex, and eGFR, T50 improved prognostication for all-cause mortality, whereas traditi

159 en genes with clinical risk factors improves prognostication for patients with follicular lymphoma re

160 The aim of this study was to improve prognostication for patients with mastocytosis.

161 nostic accuracy and assist with personalized prognostication for patients with various kidney disease

162 ality, determination of recurrence risk, and prognostication for rare or unique variants remain chall

163 tion in the decision) in patients undergoing prognostication for uveal melanoma does not exist.

164 sing proportion of patients to survive, thus prognostication has become an integral part of post-resu

165 l evidence have evolved, post-cardiac arrest prognostication has moved towards a multimodal paradigm

166 n of clinically relevant gene signatures for prognostication has relied upon single-tissue samples, i

167 le-to-use staging system for IPF may improve prognostication, help guide management, and facilitate r

168 ct may be exceptions that can have a role in prognostication; however, as illustrated in this review

169 se severity and %SAT could be used for early prognostication in ACLF patients.

170 rading, staging, therapeutic monitoring, and prognostication in adult and pediatric populations.

171 ons useful in minimal residual disease-based prognostication in AML.

172 ization of the disease have greatly aided in prognostication in both primary and relapsed settings, w

173 gene signatures for molecular subtyping and prognostication in breast cancer.

174 a therapeutic target and as a biomarker for prognostication in cancer patients.

175 We sought to evaluate timing of prognostication in cardiac arrest survivors who received

176 Fine-needle aspiration biopsy for prognostication in choroidal melanoma is the current sta

177 The constructed nomogram can guide prognostication in clinical practice and risk stratifica

178 r define the most appropriate time frame for prognostication in comatose cardiac arrest survivors tre

179 riuretic peptide) is useful in diagnosis and prognostication in heart failure (HF).

180 overy of new treatments and improve clinical prognostication in humans.

181 ew summarizes recent developments related to prognostication in ICC that have allowed the development

182 dergoing major surgery and may offer similar prognostication in left ventricular assist device candid

183 Clinical outcome prognostication in oncology is a guiding principle in th

184 Refining prognostication in OSCC with high-density CD4(+)FOXP3(+)

185 is study was designed to evaluate multimodal prognostication in patients after cardiac arrest (CA).

186 termine whether discriminant analysis allows prognostication in patients choosing surgery versus cont

187 licable immunohistochemistry (IHC) panel for prognostication in patients with EAC.

188 nzylguanidine ((123)I-mIBG) imaging improves prognostication in patients with left ventricular (LV) d

189 elapsed time since treatment initiation--for prognostication in patients with metastatic renal-cell c

190 Reassessment of HVPG after SVR improved prognostication in patients with pretreatment CSPH.

191 ed sensitivity will aid in the detection and prognostication in patients with traumatic injury.

192 x-UM GEP may be a helpful test for molecular prognostication in patients with uveal melanoma; however

193 Current prognostication in primary MF is based on the Dynamic In

194 e biology, improved diagnostic accuracy, and prognostication in PTCL.

195 d CT may be used for response assessment and prognostication in stage III or IV nonlymphoblastic pedi

196 iomarker of value for clinical diagnosis and prognostication in these diseases.

197 stic methods and treatment interventions and prognostication in this rare condition.

198 Rates of appropriate neurologic prognostication increased after the intervention (68% vs

199 CD25 expression improved AML prognostication independent of integrated, cytogenetic a

200 l repeated measurement of IMRS is useful for prognostication is an important question for its clinica

201 he first days after cardiac arrest, accurate prognostication is challenging.

202 n compared with the seventh edition TNM, and prognostication is further improved by an RPA-based prog

203 Accurate prognostication is important to avoid pursuing futile tr

204 RATIONALE: Prognostication is important when counseling patients an

205 Routine use of NT-proBNP for ED syncope prognostication is not recommended.

206 Inaccurate neurological prognostication leading to withdrawal of life-sustaining

207 g patient management by improving diagnosis, prognostication, monitoring, and external-radiation ther

208 Noninvasive diagnosis and prognostication of acute cellular rejection in the kidne

209 artery disease in 197 study subjects and the prognostication of acute coronary syndromes in 368 study

210 ar biomarkers that improve the detection and prognostication of AKI are therefore required.

211 accurate biomarker for diagnosis of BKVN and prognostication of allograft function after BKVN infecti

212 Polygenic risk score analyses showed prognostication of antisocial phenotypes in an independe

213 e diagnosis of some subtypes of PTCL and the prognostication of both PTCL-not otherwise specified (PT

214 ver tumors and aid in the classification and prognostication of brain tumors.

215 tures have been developed for prediction and prognostication of breast cancer outcomes.

216 enhancer elements of non-coding RNAs in the prognostication of breast cancer survival.

217 t role in the pathogenesis and as markers of prognostication of calcific AS.

218 ife-course exposure as well as diagnosis and prognostication of chronic disease.

219 advanced the detection, classification, and prognostication of diseases in the fields of radiology a

220 the best outcome predictive performance for prognostication of early postanoxic coma, whereas somato

221 he max-ICH Score provides valid and improved prognostication of functional outcome after ICH.

222 oth detection of significant disease and the prognostication of future cardiac events.

223 To compare improvement in long-term prognostication of incident CHD and ASCVD using CAC scor

224 els of functional disability warrant careful prognostication of intracerebral hemorrhage outcomes and

225 f improved conventional treatment and better prognostication of long-term outcome, a review of autolo

226 ew biomarker-based risk score to improve the prognostication of major bleeding in patients with atria

227 s results in the improved classification and prognostication of melanocytic neoplasms with Spitzoid c

228 chromosome 1, 3, 6, and 8 abnormalities for prognostication of metastasis, and to define multichromo

229 CTC count also improves the prognostication of metastatic breast cancer when added t

230 enolase (NSE) is a widely-used biomarker for prognostication of neurological outcome after cardiac ar

231 ostic tool for monitoring disease status and prognostication of NPC patients.

232 tial to facilitate better stratification and prognostication of oral cancer patients.

233 The BSI is a promising biomarker for prognostication of OS and hematologic toxicity in late-s

234 Whether these data can aid in the prognostication of outcomes and survival requires furthe

235 er test, Decipher, can independently improve prognostication of patients postprostatectomy, as well a

236 as deformation imaging) in the diagnosis and prognostication of patients receiving potentially cardio

237 ulating tumour cell (CTC) quantification for prognostication of patients with metastatic breast cance

238 Prognostication of peanut allergy (PNA) is relevant for

239 Although prognostication of poor outcome seems excellent, future

240 Prognostication of PV is tailored to the most frequent c

241 Noninvasive diagnosis of BKVN and prognostication of renal allograft function after BKVN d

242 ronic damage should be taken into account in prognostication of renal allograft outcome and could be

243 ded to confirm mortality findings to improve prognostication of SJS/TEN.

244 profile miRNA expression patterns for better prognostication of stage I NSCLC.

245 is multicenter validation study compared the prognostication of the max-ICH Score versus the ICH Scor

246 sions, abnl(17p) and -5/5q-, is effective in prognostication of the outcome of allogeneic HSCT in AML

247 valuable biomarker in early diagnostics and prognostication of these cancers.

248 ac MRI (cMRI) for the diagnostic work-up and prognostication of these patients.

249 ILs by FOXP3:CD4 ratio enables refinement of prognostication of this subgroup.

250 ion of a trigger for definitive therapy, and prognostication of time to hormone refractoriness in cas

251 , and there are few molecular biomarkers for prognostication or therapeutics.

252 MATH improved prognostication over that provided by traditional clinic

253 the writing group suggests that neurological prognostication parameters need to be approached as inde

254 e, and accounting for these changes improved prognostication performance.

255 ng for these genetic lesions may improve the prognostication precision in clinical practice and in de

256 DNA has been used for population screening, prognostication, predicting treatment response for thera

257 erior lens position may offer more sensitive prognostication regarding future development of AAC comp

258 tients are unknown and may inform education, prognostication, rehabilitation, and study design.

259 olecularly highly heterogeneous disease, yet prognostication relies predominantly on clinical tools.

260 The current standard for clinical prognostication relies principally on pathological stagi

261 tes mastocytosis into distinct variants, but prognostication remains a clinical challenge.

262 Stein Eye Institute who underwent biopsy for prognostication reported in 2012 revealed no increase in

263 Prognostication should be approached differently, depend

264 Prognostication should never be based on a single indica

265 ate of favorable outcome, thereby supporting prognostication strategies relying on multiple rather th

266 quality of adult and pediatric neurological prognostication studies are provided.

267 the overall quality of existing neurological prognostication studies is low.

268 Prognostication studies on comatose cardiac arrest (CA)

269 and nursing to review existing neurological prognostication studies, the practice of neurological pr

270 of outcome and was also intended to perform prognostication studies.

271 This is the first prognostication study to show the value of automated pup

272 al factors that led to belief in physicians' prognostications, such as receiving similar prognostic e

273 as been proposed as a new classification and prognostication system for breast cancer.

274 A combination of prognostication techniques should be used in an unlikely

275 e HADS depression, baseline decision regret, prognostication test result, and adjuvant therapy, respe

276 erization provides a more powerful model for prognostication than cytogenetics.

277 ion of LNs and subsequently lead to improved prognostication than regular neck dissection.

278 observations have important implications for prognostication, the future clinical development of targ

279 arction (MI) using traditional approaches of prognostication to more recent methods.

280 We used the aforementioned novel methods of prognostication to predict this event.

281 g on the size of the cohort under study, for prognostication; to facilitate the interpretation of sin

282 The vision prognostication tool presented herein needs to be valida

283 Levels of miR-124-3p can be used as prognostication tools for neurologic outcome and surviva

284 ng field treatments, postresuscitation care, prognostication tools, and trends in organ recovery.

285 c STAT3 activities, but not STAT3 mRNA, have prognostications towards clinical values within pancreat

286 ease that may help physicians improve cancer prognostication, treatment and patient outcomes.

287 Outcome prognostication unbiased by early care limitations (ECL)

288 The Stroke Prognostication using Age and the NIH Stroke Scale index

289 The ideal time window for prognostication using DWI was between 49 and 108 hours a

290 s have since evaluated several platforms for prognostication using mainly DNA-based approaches.

291 and proposed models were tested for survival prognostication validity as measured by discrimination (

292 A scoring system for prognostication was developed.

293 Fine-needle aspiration biopsy for metastatic prognostication was first performed in North America at

294 Neurologic prognostication was not a part of any of the structured

295 A history of unfulfilled prognostications was explored with the intent of finding

296 n health-related quality of life (HRQoL) and prognostication were scarce.

297 Clinicians should recognize the limits of prognostication when evaluating potential neurologic out

298 the future; improved clinical and biological prognostication will be essential for identifying patien

299 PET is important for staging and prognostication with stage migration compared with CT.

300 ds of candidate biomarkers for detection and prognostication, yet very few have become established in