ライフサイエンスコーパス: prognostication

1 alid and indistinguishable in their survival prognostication.

2 n guiding therapy, as well as individualized prognostication.

3 diagnosis, direction of therapy, and refined prognostication.

4 mportant not only for diagnosis but also for prognostication.

5 ould provide better precision for AKI course prognostication.

6 ally informative gold standard for molecular prognostication.

7 n for men undergoing prostate biopsy and for prognostication.

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

9 design of future prevention trials and guide prognostication.

10 ntial as biomarkers for cancer diagnosis and prognostication.

11 data and can be combined to further enhance prognostication.

12 as such assessments do not routinely improve prognostication.

13 superseded the importance of the physician's prognostication.

14 onitoring for tumor recurrence, and accurate prognostication.

15 stratification in ependymoma mandates better prognostication.

16 ysicians and prior experiences with accurate prognostication.

17 -based markers for cancer classification and prognostication.

18 commonly collected biomarkers could enhance prognostication.

19 patient diagnosis, treatment management, and prognostication.

20 ntify factors associated with more physician prognostication.

21 redictors that can aid the epileptologist in prognostication.

22 utility of tumor-specific biologic data for prognostication.

23 Ki67 and p53 were independent variables for prognostication.

24 have specific genetic definitions, allowing prognostication.

25 improvement is at least as difficult as most prognostication.

26 rly detection, in monitoring disease, and in prognostication.

27 lthough metabolic acidemia seems helpful for prognostication.

28 f both quantifications on classification and prognostication.

29 on, have implications for screening and risk prognostication.

30 ffects on family, emotional predictions, and prognostication.

31 te such changes in their decision making and prognostication.

32 ric blindness is important for treatment and prognostication.

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

34 ctors at diagnosis is recommended for better prognostication.

35 es add significant value for clinical course prognostication.

36 or sedation, analgesia, anticoagulation, and prognostication.

37 tures in enabling patient stratification and prognostication.

38 inical metric for patient stratification and prognostication.

39 melanoma-specific GEP testing for molecular prognostication.

40 Initial values were not helpful for prognostication.

41 vity into a prognostic model provides a good prognostication.

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

43 Lack of prognostication about outcomes, discordance between surr

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

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

46 LVEF response to exercise enables effective prognostication among patients with 3-vessel CAD and def

47 s identified a lack of standards for patient prognostication and cardiopulmonary death and a failure

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

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

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

51 t of activity and stage of liver disease for prognostication and decisions regarding treatment, and t

52 urvival exist that may be useful for patient prognostication and design of future prospective studies

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

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

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

56 g of leukemogenesis and may lead to improved prognostication and generation of novel risk-adapted the

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

58 sma are currently widely used clinically for prognostication and in monitoring antiretroviral therapy

59 This helped in better prognostication and in reserving corneal reconstructive

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

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

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

63 Helpful information was rare, and only prognostication and medical treatments to alter the cour

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

65 FA may aid prognostication and provide a biomarker for therapeutic

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

67 Prognostication and related clinical decision making in

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

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

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

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

72 In practice, the NIHSS is useful for early prognostication and serial assessment, whereas the BI is

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

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

75 ications later in life would permit accurate prognostication and tailoring of therapy to match diseas

76 Improved prognostication and the availability of predictive bioma

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

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

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

80 olecular heterogeneity currently confounding prognostication and therapy development.

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

82 Care regarding prognostication and therapy must be taken given the pote

83 vations suggest novel potential pathways for prognostication and therapy.

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

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

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

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

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

89 copathological variables used at present for prognostication and treatment selection for papillary th

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

91 ploidy may be a clinically useful factor for prognostication and treatment stratification in children

92 or subtypes may provide a basis for improved prognostication and treatment stratification.

93 e the use of technology; b) understanding of prognostication and treatment withholding and withdrawal

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

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

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

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

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

99 ns of these findings for genetic counseling, prognostication, and even therapy have already emerged.

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

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

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

103 for cancer risk assessment, early detection, prognostication, and prevention.

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

105 n be expected to lead to improved diagnosis, prognostication, and therapy of sarcoma.

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

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

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

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

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

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

112 t surrogate decision-makers view physicians' prognostications as rough estimates that are valuable in

113 lustrate the potential for this technique in prognostication, as well as the elucidation of the under

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

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

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

117 lone for donor selection or leukemia-relapse prognostication because some KIRs may be expressed at a

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

119 nt of cytogenetically normal AML not only in prognostication but also in selection of appropriate tre

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

121 del to identify factors associated with more prognostication by physicians.

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

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

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

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

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

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

128 ations were inaccurate, and experiences with prognostication during the patient's intensive care unit

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

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

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

132 f metastases, other factors may be useful in prognostication for adults with soft tissue sarcoma (STS

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

134 article will review the dramatic progress in prognostication for CLL and will propose statistical mod

135 esting, which is improving the diagnosis and prognostication for congenital heart disease in isolatio

136 oven useful in subclassification and outcome prognostication for human glial brain tumors.

137 he optimal combination of markers to improve prognostication for individual patients.

138 port a genetic approach to aid diagnosis and prognostication for oligodendroglial neoplasms.

139 cancer development and progression, improved prognostication for patients with both early and advance

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

141 ers are useful additions to AJCC staging for prognostication for patients with STS.

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

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

144 These prognostications generally are not applicable to individ

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

146 nt discovery tool, but its power in clinical prognostication has been overestimated.

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

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

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

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

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

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

153 n, race, and marital status are valuable for prognostication in breast cancer.

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

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

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

157 e for diagnosis, susceptibility testing, and prognostication in cardiovascular medicine.

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

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

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

161 t chain-1, may further improve heart failure prognostication in conjunction with plasma brain natriur

162 y allow more precise risk stratification and prognostication in high-risk populations, and perhaps ea

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

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

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

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

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

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

169 al Infarction (TIMI) score for diagnosis and prognostication in patients presenting to the emergency

170 ven though different gene sets were used for prognostication in patients with breast cancer, four of

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

172 n important marker for tumor progression and prognostication in patients with head and neck squamous

173 topathologic classification is essential for prognostication in patients with IPF.

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

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

176 bolic stress testing minimally improves risk prognostication in patients with severe heart failure.

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

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

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

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

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

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

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

184 in cancer pathogenesis, classification, and prognostication, including highlights of the involvement

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

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

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

188 value of miRNAs in cancer classification and prognostication is being explored, and new therapeutic s

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

190 Rapid diagnosis and prognostication is difficult in patients presenting to t

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

192 RATIONALE: Prognostication is important when counseling patients an

193 A better means of prognostication is needed.

194 Better prognostication may improve the treatment mortality rate

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

196 Prognostication occurred frequently during physician-fam

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

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

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

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

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

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

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

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

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

206 indings concerning EBCT in the diagnosis and prognostication of CAD.

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

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

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

210 o quantitate the amount of CAC and assist in prognostication of future cardiac events.

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

212 ew markers in the diagnosis, monitoring, and prognostication of inflammatory vascular disease.

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

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

215 n the noninvasive diagnosis, monitoring, and prognostication of many clinical conditions.

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

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

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

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

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

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

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

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

224 Although prognostication of poor outcome seems excellent, future

225 e critical in the diagnosis, management, and prognostication of prostate cancer.

226 Prognostication of PV is tailored to the most frequent c

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

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

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

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

231 lectrodiagnosis in the evaluation as well as prognostication of such lesions.

232 e validity of frequently used indices in the prognostication of survival in patients with metastatic

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

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

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

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

237 MATH improved prognostication over that provided by traditional clinic

238 tion derived from palpable findings improves prognostication over the 1997 subclassification.

239 ients into 3 distinct categories allowed for prognostication: poor prognosis group (t(4;14)(p16;q32),

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

241 useful markers for breast cancer diagnosis, prognostication, prevention, and treatment.

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

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

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

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

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

247 Prognostication schemas are beginning to incorporate mol

248 h UA/NSTEMI, the TIMI risk score is a simple prognostication scheme that categorizes a patient's risk

249 Prognostication should be approached differently, depend

250 Prognostication should never be based on a single indica

251 Prognostication studies on comatose cardiac arrest (CA)

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

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

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

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

256 ant literature and propose a new periodontal prognostication system.

257 s have formulated and investigated their own prognostication systems.

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

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

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

261 reby providing a more individualized outcome prognostication than that afforded by the AJCC categoric

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

263 some doubt about the accuracy of physicians' prognostications, they highly value discussions about pr

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

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

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

267 The vision prognostication tool presented herein needs to be valida

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

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

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

271 Risk prognostication, treatment stratification, and the devel

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

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

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

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

276 A scoring system for prognostication was developed.

277 A scoring system for prognostication was developed.

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

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

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

281 certain, prior experiences where physicians' prognostications were inaccurate, and experiences with p

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

283 mortality at 1 year and might be useful for prognostication when used alone or together with NT-proB

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

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