ライフサイエンスコーパス: prognosticator

1 t condition in sepsis and an important early prognosticator.

2 of pYGIV and tGIV can serve as an effective prognosticator.

3 gitudinal strain has been proposed as better prognosticator.

4 and Ara h2 IgE, and lack of breastfeeding as prognosticators.

5 ining these strain features with traditional prognosticators.

6 e adjusted for sociodemographic and clinical prognosticators.

7 reased the risk of ESRD, regardless of known prognosticators.

8 efine risk stratification beyond traditional prognosticators.

9 tosensory-evoked potential), and biochemical prognosticators.

10 quent mortality after adjusting for relevant prognosticators.

11 was not associated with any of the examined prognosticators.

12 Cox model adjusted for clinical and biologic prognosticators.

13 adjustment for other clinical and molecular prognosticators.

14 ent study suggested that miRNAs can serve as prognosticators.

15 arly after controlling for other significant prognosticators.

16 es were used to identify independent outcome prognosticators.

17 haracterized for other established molecular prognosticators.

18 after adjustment for traditional, well-known prognosticators.

19 ndependently of other molecular and clinical prognosticators.

20 ere also prognostic and remained independent prognosticators after multivariate analysis.

21 However, GLS emerged as the strongest MACE prognosticator among strain parameters (area under the c

22 l extension (ENE) is a well-established poor prognosticator and an indication for adjuvant treatment

23 gnature was identified as an independent GBM prognosticator and could be used for GBM risk stratifica

24 e for arrhythmogenesis, may serve as a novel prognosticator and guide the optimal use of implantable

25 Left atrial size is a powerful prognosticator and should be routinely used in the progn

26 these strain measures with traditional risk prognosticators and CMR findings to predict major advers

27 for stratifying treatment based on molecular prognosticators and for targeted therapy.

28 ents was substantially attenuated by disease prognosticators and insurance status (HR decreased from

29 tribution of clinical and biological disease prognosticators and insurance status was examined throug

30 the best predictive value above traditional prognosticators and ischemic LGE extent to predict all-c

31 RS) were associated with breast cancer tumor prognosticators and risk of distant metastasis.

32 inue to occur and efforts to identify visual prognosticators are being made.

33 pattern of multiple genes may be used as BC prognosticators because single markers often fail to be

34 After adjustment for traditional prognosticators, both rest-GLS (hazard ratio, 1.09 [95%

35 c alterations not only represent independent prognosticators, but also may constitute targets for spe

36 International Prognostic Index (MIPI-B)-miR prognosticator, combining expression levels of miR-18b w

37 olutional neural networks (CNNs) can extract prognosticators directly from these widely available ima

38 nce of CD49d over other flow cytometry-based prognosticators (eg, CD38, ZAP-70) was ranked by recursi

39 r extension is independent of other relevant prognosticators except for the burden of nodal disease.

40 ysis showed that older age was a significant prognosticator for 12-month BCVA > 0.1 logMAR (Odds Rati

41 We also constructed a molecular prognosticator for AITL that appears to be largely relat

42 We developed a prognosticator for ER-positive, HER2-negative breast can

43 lginate, in Pseudomonas aeruginosa is a poor prognosticator for lung infections in cystic fibrosis.

44 I, 1.001-1.006; P = 0.006) as an independent prognosticator for OS.

45 es that may represent not only an additional prognosticator for patient outcome, but also a vehicle f

46 mal apoptosis function was the most valuable prognosticator for patients with FAS mutations.

47 igh expression of miR-3151 is an independent prognosticator for poor outcome in CN-AML and affects di

48 ight (LMW) isoforms, and it can be used as a prognosticator for poor patient outcome.

49 n groups were stage- and therapy-independent prognosticators for all three survival parameters.

50 of adjunctive antifibrotic therapy based on prognosticators for failure, the success rates of trabec

51 The search for prognosticators for good outcomes continues to dominate

52 nostic value of these variables and clinical prognosticators for local treatment failure (LTF), OS, a

53 p53 expression were found to be independent prognosticators for MPNST DSS in a multivariable analysi

54 .041), but not CKTs, as independent adverse prognosticators for PFS.

55 In the multivariate analysis, tumor-related prognosticators for poorer OS included node-positive can

56 Physiological and anatomical prognosticators have had limited success in predicting c

57 Compared to the MIPI-B, this prognosticator improved identification of high-risk pati

58 CD49d is a negative prognosticator in chronic lymphocytic leukemia (CLL), ex

59 sion in Pseudomonas aeruginosa and is a poor prognosticator in cystic fibrosis.

60 errant cellular junction formation is a poor prognosticator in human cancer, the role of polarity det

61 essed with cardiac MRI is a well-established prognosticator in ischemic cardiomyopathy.

62 r 41% SUVmax, supporting its use as a strong prognosticator in lymphoma.

63 GLS seems to be a stronger prognosticator in men than in women.

64 these four markers was the only independent prognosticator in multivariate analysis (hazard ratio, 4

65 Basal vs Classical) was an independent poor prognosticator in multivariate analysis [HR 1.58 (95% CI

66 (the CUP image specifically) is an accurate prognosticator in patients with early postoperative rena

67 , the impact of sepsis, its reliability as a prognosticator in sepsis, and the potential utility of c

68 arameters as the strongest and most accurate prognosticator in this CHF population, regardless of fol

69 and CRP - but not PD-L1 - was a significant prognosticator in this subgroup.

70 Cerebral edema is a key poor prognosticator in traumatic brain injury.

71 n and serum sodium disturbances are negative prognosticators in adult LT candidates and various pedia

72 learly delineates the troponins as important prognosticators in asymptomatic otherwise "stable" patie

73 ultivariable analysis as independent adverse prognosticators in complete resection patients.

74 ies can significantly improve on traditional prognosticators in predicting outcome for ER-positive br

75 These prognosticators included tumor size, calculated as the l

76 prognostic value over and above traditional prognosticators, including CMR parameters, for predictin

77 ublished RPMs and provide an overview of the prognosticators incorporated and reported clinical valid

78 sTNF-R1 was the strongest and most accurate prognosticator, independent of established markers of CH

79 ed in tumors and high IFP, a negative cancer prognosticator, is known to limit the uptake and efficac

80 dition, while recipient age was an important prognosticator, its direction of association reverses de

81 ivariable analyses adjusting for established prognosticators, LEF1high status remained associated wit

82 We identified RPMs based on clinical prognosticators (N = 6) and biomolecular features (N = 1

83 l significance of osteosarcoma subtypes as a prognosticator needs further evaluation based on this st

84 by risk also requires data on key non-stage prognosticators (NSPs).

85 fic lipid groups or was focused on lipids as prognosticators.Objectives: To map the plasma lipidome d

86 The simple PREDICT risk score was a powerful prognosticator of 6-year mortality after hospitalization

87 ncreasing urinary protein excretion-a strong prognosticator of adverse renal outcomes in Fabry diseas

88 These results not only identify hTREX84 as a prognosticator of breast cancer but also delineate human

89 ence of the role of triglycerides (TGs) as a prognosticator of CAD, and no studies have examined the

90 tellite stability status, a well-established prognosticator of colorectal cancers.

91 1-induced immune hyperactivation, which is a prognosticator of disease progression, was reduced by IF

92 he time of BKVN diagnosis, is an independent prognosticator of graft failure and a prediction model o

93 Letal was found to be an independent prognosticator of improved survival in advanced ovarian

94 fter R-CHOP, high baseline TMTV was a strong prognosticator of inferior PFS and OS.

95 sitive group was identified as a significant prognosticator of longer OS (P = 0.003).

96 -metabolite panel showed promise as an early prognosticator of mortality in melioidosis.

97 at low S1PR2 expression is a strong negative prognosticator of patient survival, alone and especially

98 rum creatinine was the single most important prognosticator of patient survival.

99 sepsis, the degree of which is an excellent prognosticator of poor outcomes.

100 om mCRPC metastases appears to be a relevant prognosticator of response and survival, with faster cle

101 dings and assess ISI's clinical utility as a prognosticator of sepsis progression and treatment respo

102 Histopathologic phenotype is a better prognosticator of survival in patients with periampullar

103 atient population, and its proposed use as a prognosticator of survival or chemotherapy stratificatio

104 ells were identified as a strong independent prognosticator of tumor recurrence (hazard ratio [HR] 4.

105 c MRI experts were compared with traditional prognosticators of adverse events in ischemic cardiomyop

106 ve information in the search for immunologic prognosticators of clinical outcome.

107 BF and FDG K(1) changes remained independent prognosticators of DFS and OS.

108 re increasingly recognized as biomarkers and prognosticators of disease.

109 th urine albumin and serum creatinine, known prognosticators of DKD.

110 ary exercise testing parameters are powerful prognosticators of early mortality and morbidity in pati

111 enting tumor growth towards the brainstem as prognosticators of facial nerve injury.

112 strate the strength of AR and CMV disease as prognosticators of impeding kidney graft loss in transpl

113 nstrated LA strain and SRs to be independent prognosticators of ischemic stroke during a median follo

114 or support at 7 days was among the strongest prognosticators of LRD (odds ratio, 8.1; confidence inte

115 tions were identified as important molecular prognosticators of OS irrespective of patient age.

116 d WB-TLG parameters were validated as strong prognosticators of outcome in a large cohort of chemoref

117 nventional PTC (cPTC), to identify molecular prognosticators of outcome using complementary genome wi

118 Multivariate analysis showed the prognosticators of overall survival to be bilirubin, no

119 tematic review of the literature to identify prognosticators of PCS following pediatric concussion wa

120 rocorticographic abnormalities are favorable prognosticators of seizure freedom on univariate analysi

121 We identified independent prognosticators of survival and derived a multivariable,

122 sponse rates and complete response rates are prognosticators of survival for patients with amyloidosi

123 Significant overall survival prognosticators on univariate analysis were albumin, bil

124 d in 129 (71.7%) patients was an independent prognosticator (P = 0.002).

125 ny instances the studies that validate these prognosticators represent class III or class IV evidence

126 y more likely to be diagnosed with favorable prognosticators, such as ER-positive and low-grade tumor

127 ver of carcinogenesis in HNSCC and is a poor prognosticator that has previously been associated with

128 We found that RP/V site is a poor prognosticator that is independent of patient sex and ag

129 s-related protein and an independent adverse prognosticator that may serve as a useful adjunct to tra

130 The intent was to develop a prognosticator that would be displayed during precordial

131 Our intent was to evolve a prognosticator that would predict the likelihood that an

132 gical severity of rejection was an important prognosticator: the use of antilymphocyte preparations w

133 After adjusting for adherence and other prognosticators, there was no association between 6-MP i

134 d a higher prognostic value over traditional prognosticators to predict mortality.

135 Such a prognosticator was further intended to reduce the number

136 Such a prognosticator was to be based on conventional electroca

137 Presence of other molecular prognosticators was assessed centrally.

138 Adjusting for clinical prognosticators, we found that patients with 6MP nonadhe

139 All molecular prognosticators were assessed centrally.

140 ve care unit course; however, multifactorial prognosticators were not useful for the early identifica

141 age, the associations of TCRS with favorable prognosticators were restricted to women younger than ag

142 djuvant therapy continues to be an important prognosticator with regard to OS and RFS.