ライフサイエンスコーパス: cut-off value

1 ter consecutive fHb concentrations below the cut-off value.

2 rillation but calls into question the 90-day cut-off value.

3 2), with lipid arc >/=80 degrees the optimal cut-off value.

4 in a dichotomous manner using pre-specified cut-off values.

5 CFnoLD and determine fibrosis stage-specific cut-off values.

6 ecificity could be achieved by adjusting the cut-off values.

7 e or negative findings based on manufacturer cut-off values.

8 its were also directly compared to wild-type cut-off values.

9 graphic signs, only increase in RV/LV ratio (cut-off value, 1.0) was independently associated with sh

10 eral flow immunoassay is developed using two cut-off values (10 and 50 mg kg(-1) gliadin) to provide

11 Only resistin (cut-off value 13.7 ng/ml) and IL-6 (cut-off value 473.4

12 esistin (cut-off value 13.7 ng/ml) and IL-6 (cut-off value 473.4 pg/ml) were reliable early markers o

13 However, the current PDFF cut-off value (5%) used to define steatosis by magnetic

14 A BNP cut-off value above 385 pg/ml demonstrated high specific

15 emoglobin (fHb) concentrations below the FIT cut-off value and later development of colorectal advanc

16 Diagnostic accuracy, optimal cut-off values and best position for FE NO50 within a pa

17 Cut off values are not available for tree nuts.

18 hanges in LSM do not correlate with HVPG and cut-off values are not reliable in ruling out CSPH after

19 Considering the cut-off values associated with the positivity rate of He

20 A vWF-Ag cut-off value at 315% can clearly stratify patients with

21 PDFF cut-off values at 90% specificity were 16.3% for grades

22 At cut-off values chosen to give negative predictive values

23 of 112.5 ml was a marker of SAP and 433.0 ml cut-off value could be used to predict the need of inter

24 ated that 16.95 units was the most effective cut-off value (COV) to discriminate correctly between ce

25 However, current cut-off values denoting slow clearance based on the prop

26 At all cut-off values, FIT sensitivity for CRC was higher (rang

27 The cut off values for diagnosis of celiac disease were vill

28 blood glucose concentrations and use a lower cut-off value for diagnosis than the WHO criteria.

29 ith discrepancy, 16 mm Hg was still the best cut-off value for HVPG-Free, but not for HVPG-IVC, among

30 risk and the idea that 140 mm Hg is a useful cut-off value for hypertension for all adults.

31 There is no established cut-off value for increased number of IELs in the bulb.W

32 ainly retrospective, of low size, and lack a cut-off value for MPO.

33 The best cut-off value for prediction of EEs was MLV>/=20 mm with

34 s shown to be rather sensitive to the chosen cut-off value for structural similarity.

35 =50 mm Hg, which is the universally accepted cut-off value for the diagnosis of the vasodepressor for

36 ristics can be achieved by allowing separate cut-off values for both sexes.

37 ical cerebrospinal fluid Alzheimer's disease cut-off values for cerebrospinal fluid amyloid-beta1-42

38 algorithms based on subjective diagnoses and cut-off values for continuous predictors.

39 eria, developed using sensitive and specific cut-off values for demyelination and incorporating new k

40 myocardial viability and establish practical cut-off values for differentiating normal myocardial tis

41 stic (ROC) curves, we determined the optimal cut-off values for each score for these outcomes.

42 Subsequently cut-off values for healthy volunteers were calculated.

43 (ROC) curve analysis was performed to define cut-off values for high and low ratios of these indices.

44 lysis was used to yield the most significant cut-off values for individual factors.

45 The cut-off values for levels of hemoglobin in buffer and st

46 Optimal M30 cut-off values for mild and severe ballooning were 330 a

47 the ROC analysis, there were no satisfactory cut-off values for OPN that would distinguish patients w

48 eometric formula determined sample sizes and cut-off values for SDs.

49 compared with those from the guaiac test for cut-off values for stool samples, positivity rates, and

50 Cut-off values for the best sum of sensitivity and speci

51 around the tests employed and the diagnostic cut-off values (for bacterial numbers) used to diagnose

52 We calculated the reference ranges (cut-off values) for absolute IS and T2-time values and r

53 was to determine the reference values (i.e. cut-off values) for absolute signal intensity and T2 rel

54 Using cut-off values from receiver-operating characteristic an

55 With a cut-off value > 0.015 mmol/l indicating IBS, the sensiti

56 With a cut-off value<8 mm Hg for central venous pressure, kappa

57 Using a vWF-Ag cut-off value of >/= 241%, the AUC for detection of CSPH

58 Compared to the FFR cut-off value of </=0.80, the diagnostic accuracy of the

59 V (area under the curve, 0.78) and a bipolar cut-off value of 1.55 mV (area under the curve, 0.69) be

60 a negative FIT result at baseline (below the cut-off value of 10 mug Hb/ g feces).

61 Using this model, the current 'day-3' cut-off value of 10% predicts the potential presence of

62 gnosis of colorectal cancer, ferritin with a cut-off value of 100 mcg/L had a sensitivity of 93% (CI:

63 Using a cut-off value of 100 vc/ml plasma and clinical diagnosis

64 An FCP cut-off value of 150 mg/kg achieved the highest summatio

65 FCP concentration with a cut-off value of 150 mg/kg had only fair to good accurac

66 IL-6 with cut-off value of 157.0 pg/ml was a predictor of necrosis

67 We identified a driving pressure cut-off value of 19 cm H2O where an ordinal increment wa

68 the model, with untransformed AFP values, a cut-off value of 2 was identified.

69 100% specificity and 79% sensitivity; a PDFF cut-off value of 2.0% identified patients with steatosis

70 A cut-off value of 2.1 kPa/year was associated with an 8.4

71 ROC analysis yielded an optimal cut-off value of 2.245 (AUC=0.999, p<0.001, sensitivity=

72 At an optimal cut-off value of 23.9 pg/mL, the sensitivity and specifi

73 0.839; 95% CI, 0.751-0.927) with an optimal cut-off value of 24.3%.

74 We identified a plateau pressure cut-off value of 29 cm H2O, above which an ordinal incre

75 ts with PCP; thus, application of a post hoc cut-off value of 50 copies/tube increased the specificit

76 A cut-off value of 50 nmol/L was used to define VDD.

77 r-operator characteristic curves, a unipolar cut-off value of 6.78 mV (area under the curve, 0.78) an

78 ng recipients of DR-mismatched allografts, a cut-off value of 60 interferon-gamma spots/10(6) cells s

79 t cytokine (P < 0.0001), and with an optimal cut-off value of 67.5 pg/mL, the sensitivity and specifi

80 analysis because they only identify the high cut-off value of a biomarker by utilizing color changes

81 antibodies [EMA]) and to determine the lower cut-off value of anti- anti-TTG level that best predicts

82 erated characteristics analysis for the best cut-off value of anti-TTG level for diagnosis of CD was

83 The cut-off value of CFT for initiating systemic treatment w

84 In a post hoc analysis, a cut-off value of CFT for systemic treatment initiation i

85 ent to 0.04 unit/mL and 260 ng/dL) below the cut-off value of circulating PLA2 (2.07 nM, equivalent t

86 emochromatosis screening program that uses a cut-off value of greater than 60% to define elevated ser

87 rectly predicted 84% of the responses with a cut-off value of k=0.21 per day (in log scale).

88 A cut-off value of symptomatic SBP of </=85 mm Hg seems mo

89 The optimal cut-off value of the appendiceal diameter was 6.5 mm.

90 To obtain an optimal cut-off value of the strain ratio for differentiating be

91 Therefore one cut-off value of these parameters for all the rectus mus

92 When applying the pre-specified cut-off values of 34 mL/m(2) for LAVI and -15% for GLS,

93 In the population aged > or = 65 years, when cut-off values of 40 and 0.5 ng/ml were chosen for DJ-1

94 For qualitative analysis, the cut-off values of beta-lactams, tetracyclines, quinolone

95 ls of the contamination rate were adopted as cut-off values of contamination reads.

96 curves were constructed to determine optimum cut-off values of VPW and CT ratio associated with HPE.

97 s without discrepancy, 16 mm Hg was the best cut-off value predicting survival, independently of bein

98 nd 37% of stenoses at the 0.75, and 0.80 FFR cut-off value, respectively, and was characterized by mi

99 Using optimized cut-off values, significant fibrosis could be predicted

100 rtisone, fatigue scores reached a predefined cut-off value similar to the normal population score, co

101 eiver operating characteristic analysis, and cut-off value that most accurately identified individual

102 The cut-off value that most accurately identified subjects w

103 Reducing the PDFF cut-off value to 3.0% identified patients with steatosis

104 l [CI]: 0.982, 0.998), and the calculated PH cut-off value (tvortex >/= 14.3%) resulted in sensitivit

105 Cut-off values used to define elevated serum transferrin

106 The best cut off value was 93.5 muU/ng protein, at which the sens

107 I treatment reported TS, and the optimum RDQ cut-off value was 3.06 (sensitivity, 65.4%; specificity,

108 A cut-off value was established to improve discrimination.

109 Cut-off value was estimated at 28.8 Hz from negative vir

110 was lower in women than in men when the same cut-off value was used to define elevated serum transfer

111 risk individuals with a FIT result below the cut-off value, we associated baseline concentrations of

112 receiving scores greater than a theoretical cut-off value were identified as potential p53 targets.

113 Optimal cut-off values were determined with receiver operating c

114 Cut-off values were established by applying ROC curve an

115 At optimal cut-off values, which had 69-98% sensitivity in detectin