ライフサイエンスコーパス: cut point

1 were nine or greater (clinically acceptable cut point).

2 standard corresponding to the signal at the cut point.

3 atients had levels above the 99th percentile cut point.

4 versus 73%; P=0.3), considering 50% stenosis cut point.

5 eceiver operating characteristic curve (ROC) cut point.

6 dose-dependent fashion, without an apparent cut point.

7 9, p = .02) than those with levels below the cut-point.

8 elow the cut-point and 25% and 29% above the cut-point.

9 owever, most false positives fall below this cut-point.

10 e ability similar to the alternate PR and PD cut points.

11 diagnostic information or explicit biomarker cut points.

12 he expert radiologist identify the impact of cut points.

13 n when categorized using clinically relevant cut points.

14 ity lipoprotein cholesterol, or triglyceride cut points.

15 ative complications when used at appropriate cut points.

16 e assay has been considered for establishing cut points.

17 those treated with standard therapy at both cut points.

18 SLO) parameters, using odds ratios at binary cut points.

19 sus its false-positive rate for all possible cut points.

20 d sensitivities less than 80% at traditional cut points.

21 DL-C (LDL-CN or LDL-CF) category by clinical cut points.

22 e demonstrated good agreement with guideline cut points.

23 rous standard-setting to determine pass/fail cut points.

24 ere analyzed continuously and by established cut points.

25 and posttreatment remission status based on cut points.

26 tudy tested treatment strategies by troponin cut points.

27 5) having glucose levels above each of these cut-points.

28 ts having glucose levels above each of these cut-points.

29 rror percentage for "shift" and dichotomized cut-points.

30 usly when TB response is near interpretation cut-points.

31 ed activities to determine the accelerometer cut-points.

32 inal fluid measures of amyloid-beta (optimal cut point, 1.51 SUVR).

33 .56 SUVR) gaussian mixture modeling (optimal cut point, 1.55 SUVR), and comparison with cerebrospinal

34 rves based on visual classification (optimal cut point, 1.55 SUVR), ROC curves based on clinical clas

35 es based on clinical classification (optimal cut point, 1.56 SUVR) gaussian mixture modeling (optimal

36 Using a predefined cut point, 138 of 519 (27%) biopsies would have been avo

37 year predicted risk of 1.66% or greater as a cut point, 2.8% of women younger than 50 years old and 3

38 lograms divided by height in meters squared) cut points 25.0 and 30.0, respectively; change in BMI du

39 Using an 80% adherence cut point, 25 (52%) patients were classified as adherent

40 her BI-RADS category 4a or category 3 as the cut point (52% and 52% [95% CI: -7.3%, 6.0%], and from 2

41 4 to quartile 1 for each exposure (quartile cut points: 689.7, 746.5, and 799.4 min/d for total sede

42 ely) were substantially lower than guideline cut points (7 and 10 cm/s, respectively), whereas E/e' a

43 ded into four roughly equal groups using the cut points 8, 9, and 10%.

44 y values of 96-97% showed that the developed cut-points accurately detected physical activity, and se

45 ng/ml increasingly appears arbitrary, but no cut-point achieves both high sensitivity and high specif

46 The optimal CS cut point after induction was 2 in SIOPEN/HR-NBL1, with

47 and clinical decision making over a range of cut points, alone and with cardiac troponin I (cTnI), in

48 Cut-point analyses suggested a minimal threshold ELN num

49 Cut point analysis of age determined that patients age <

50 In addition, a formal cut point analysis was used to determine the most statis

51 The data were then subjected to cut-point analysis by sequential group comparison.

52 Cut-point analysis of the entire range of lowest intraop

53 Cut-point analysis revealed an intraoperative temperatur

54 A cut-point analysis yielded the greatest survival differe

55 The cut point and detection limit of any immunogenicity assa

56 al analysis with test/validation set-defined cut points and Kaplan-Meier estimated outcome measures o

57 lly, the Hubaux-Vos technique of calculating cut points and limits of detection from predication inte

58 eved using receiver operating characteristic cut points and logistic regression models derived from t

59 Studies were small, biomarker cut points and neuropathologic AD were inconsistently de

60 were, respectively, 1.7% and 2.5% below the cut-point and 25% and 29% above the cut-point.

61 d using the International Obesity Task Force cut-points, and change in health status (DALYs).

62 ethod, in which visually selected gray-scale cut points are used to assess breast density.

63 atients should not be based on the same eGFR cut points as for younger age groups and would benefit f

64 riately treat patients on either side of the cut-point as 2 homogenous risk groups, fail to incorpora

65 elor will have platelet reactivity below the cut points associated with ischemic risk.

66 The optimal ELN threshold was defined as the cut-point associated with a 95% probability of identifyi

67 aracteristic analysis defined an optimal FFR cut point at >/=0.96; at this threshold, the sensitivity

68 nificantly superior survival differences for cut points at up to 40 LNs, always in favor of more LNs

69 , 95% CI: 0.61, 0.65); however there were no cut points at which sensitivity and specificity were bot

70 value of assessment data, independent of the cutting points, base rates, or particular application.

71 the reference laboratory (ALT > 43) and the cut point based on the 95th percentile of healthy subjec

72 We recommend using cut points based on the absolute CAC amount, and the com

73 ved risk discrimination over guideline-based cut points based on the integrated discrimination improv

74 epression--require that a somewhat arbitrary cut-point be chosen on a continuous scale of measurement

75 eping hours, and to test comparability of PA cut points between dominant and non-dominant wrist.

76 2000 and 2007-2008 except at the highest BMI cut point (BMI for age > or = 97th percentile) among all

77 ment methods are confounded by the choice of cutting points, by the base rates of the events, and by

78 TA strategies after initial CAC>0 or optimal cut point CAC>/=22 (P>/=0.09).

79 atio, both as a continuous variable and as a cut point-categorized variable, was independent of all m

80 ates from this exploratory analysis with age cut-point chosen after trial completion should be viewed

81 portion of women predicted to meet the 1.66% cut point commonly used to determine eligibility for bre

82 ere heterogeneous regarding assays, troponin cut points, covariate adjustment, and follow-up.

83 in a linear fashion, without an apparent age cut point demarcating survival difference.

84 Standard RECIST cut points demonstrated predictive ability similar to th

85 Analysis of proposed cut-points demonstrates difficulties in balancing risk a

86 , our analysis suggests that the optimal age cut point depends profoundly on the morbidity of the tre

87 Using cut points derived from the negative control patients, O

88 and the clinically motivated 99th percentile cut point detected a significant association at 1q32 (rs

89 These cut-points do not adequately reflect disease biology, ma

90 lower for all dichotomizations tested using cut-points (e.g. mRS 1; 6.8%+/-2.89; overall p<0.001).

91 Data were analyzed with concentration cut-points, ECG findings, logistic regression (LR) (adju

92 This cut-point enabled improved detection of N2 patients and

93 ounts (>2%), as well as to determine whether cut points existed that would maximize the sensitivity a

94 m the data a priori, without assuming that a cut point exists.

95 Using the 99th percentile cut point for a healthy population (13 pg/mL), hsTnT had

96 ge, 0-1,120 versus 1.3, 0-750; P < 0.001); a cut point for a S/N ratio of 5.0 correctly identified 44

97 um cotinine levels that exceeded the defined cut point for active smoking (nondisclosure).

98 rum cotinine concentration that exceeded the cut point for active smoking.

99 determine the most statistically significant cut point for age.

100 or the CASPAR Study Group criteria, the best cut point for classification remained a score of >/= 3 a

101 The optimal cut point for CS at diagnosis was 12 in SIOPEN/HR-NBL1,

102 The optimal cut point for detecting CIN3+ was 1.0 RLU/PC for HC2, as

103 regression was used to determine the optimal cut point for each dual-energy CT delta to predict disea

104 The cut point for high and low SII before neoadjuvant treatm

105 mous cells of undetermined significance as a cut point for referral resulted in 77.7% sensitivity and

106 The cut point for SUV(max) before chemotherapy was greater t

107 The presently recommended 14 ng/l cut point for the diagnosis of myocardial infarction usi

108 ver operating characteristic analysis showed cut points for baseline R5-20 (1.5 cm H(2)O . L(-1) . s)

109 ity were defined using age- and sex-specific cut points for BMI as recommended by the International O

110 ting characteristics curves, and the optimal cut points for both tests (relative light units [RLU]/po

111 Use of different cut points for CAC score yielded similar results.

112 tic regression established optimal predicted cut points for cognitive status classification (</= 28 =

113 t vs. non-dominant wrist, thus, we developed cut points for dominant wrist based on ENMO to classify

114 010 American Diabetes Association diagnostic cut points for glycated hemoglobin and microvascular out

115 proportion of individuals exceeding clinical cut points for high LDL cholesterol, low HDL cholesterol

116 Obese asthmatic subjects have lower cut points for IgE levels (268 IU), fraction of exhaled

117 ears old), we identified MONW women based on cut points for insulin sensitivity (normal = glucose dis

118 Cut points for outcome analysis were identified by Youde

119 The selected cut points for performance measures would likely result

120 In contrast to consensus-endorsed cTnT cut points for postoperative evaluation, a cTnT <1.60 ng

121 In all, 27 pairs of cut points for PR and PD were considered: PR (10% to 50%

122 iTR; CR/PR v others) metrics using alternate cut points for PR and PD.

123 itivity and cancer detection rate, while the cut points for specificity, recall, and PPV(1) and PPV(2

124 which occurs because experts have different cut points for the amounts of vascular abnormality requi

125 When considering different cut points for the CASPAR Study Group criteria, the best

126 young people, however low muscular strength cut points for the detection of high metabolic risk in L

127 can Diabetes Association glycated hemoglobin cut points for the diagnosis of diabetes.

128 bias for each expert consistent with unique cut points for the diagnosis of plus disease and preplus

129 Cut points for the dominant wrist were derived using Lin

130 Final cut points for workup of a breast lump were as follows:

131 Final cut points for workup of abnormal screening examinations

132 l in the validation set: Based on an optimal cut-point for a negative predictive value of 0.97, deriv

133 or uncertainty, rather than a single, binary cut-point for assigning benign and deleterious evidence.

134 The optimal cut-point for each SPT solution was determined by Youden

135 The ideal cut-point for FLC change appears to be between 40% and 5

136 erator analysis, an FMD of 10% was used as a cut-point for further analysis.

137 C) was 0.79 for the RDQ, and the optimum RDQ cut-point for identifying TS was 3.18 (sensitivity, 63.2

138 urve analysis to ascertain the RDQ's optimum cut-point for identifying TS.

139 uals who are insulin resistant is to use the cut-points for either triglyceride concentration or the

140 f BAUS is required, however, before specific cut-points for excluding CAD can be established.

141 simple classification rules based on optimal cut-points for two genes selected.

142 nsulin secretion below the 1st percentile of cut-points (for parents) or below the 10th percentile (f

143 e minimal and suggest 19 ELNs as the optimal cut-points, for evaluating quality of lymph node examina

144 ed by >90th percentile age- and sex-specific cut points from a healthy subsample.

145 Using the optimal cut points from receiver operator characteristic curves

146 For PF LAM strip tests, switching cut-points from grade 1 to 2 significantly reduced test

147 Using cut-points from recursive partitioning analysis, we deri

148 System (BI-RADS) category 3 was used as the cut point (from 90% to 94%; 95% confidence interval [CI]

149 y 97.1%) but moderately good rule-out value (cut-point >31.8; negative predictive value 80.0%).

150 to have first-phase insulin secretion above cut-points (>1st percentile for parents, >10th percentil

151 (using the International Diabetes Federation cut-points [>/=80 cm for women and >/=94 cm for men]) we

152 Quasispecies percentage cut-points, >/=42% of non-arginine at 70 (non-R(70)) or

153 No PSAV or PSADT cut point had both high sensitivity and specificity (are

154 The image grading using preplus as the cut point had sensitivity of 94% (95% CI: 90%-97%) and s

155 Patients with levels above the cut-point had significantly higher odds of mortality on

156 At the optimal cut points, HC3 and HC2 had similar screening performanc

157 idence interval, 0.65-0.95]), but above this cut point, higher levels conferred greater risk (hazard

158 ociated with improved OS (>25(th) percentile cut-point, HR = 0.53, 95%CI = 0.34-0.80).

159 associated with poor OS (>25(th) percentile cut-point, HR = 2.01, 95%CI = 1.33-3.05) and higher C3M/

160 ive terms for grades, grade compression, and cut-points if grade compression was used.

161 A higher IgG cut point improved the test accuracy in this population.

162 allenge the appropriateness of a patient age cut point in current staging systems for PTC and argue f

163 A tau PET cut point in the medial temporal region and two cut poin

164 dges, and nuclear buds defined by percentile cut points in controls.

165 se Control/American Heart Association hs-CRP cut points in such a population remain relatively unexpl

166 ariation explained at more stringent P value cut points in the CAMP EA cohort (P<0.05).

167 point in the medial temporal region and two cut points in the temporoparietal region were identified

168 The most accurate cut-point in both the N-R group (87%) and R group (61%)

169 t gain initiating examinations when the risk cut point is surpassed), e-ROP IMAGING (trained reader g

170 If the risk was above a cut-point level (high risk), examinations were indicated

171 In addition, we examined optimal cut point levels for glycohemoglobin, systolic blood pre

172 lity as a rule-in test for smear positivity (cut-point </=20.2; sensitivity 32.3%, specificity 97.1%)

173 ing American Diabetes Association diagnostic cut points (<5.7, 5.7-6.4, and >/=6.5%).

174 patients requires reevaluation, and a lower cut point may be more appropriate.

175 presents a unique or important physiological cut point may be wrong.

176 valid and population-specific accelerometer cut-points may improve the classification of physical ac

177 , regardless of day or modified Rankin Scale cut point (mean odds ratio 12.51, range [6.01, 22.56] fo

178 the Telephone Interview of Cognitive Status cut point of </=28, we defined 4 groups of cognitive cha

179 Using a cut point of 1,200 pg/ml for subjects with GFR <60 ml/mi

180 In this study population, a cut point of 1.0 pg/mL using the second generation assay

181 An FPWD cut point of 135 ms resulted in a sensitivity of 71% and

182 Using a cut point of 15 ng/L, sensitivity was 94%, specificity 6

183 ulations of women, but using the traditional cut point of 2 or more resulted in low sensitivities (38

184 A cut point of 3 fit better for women, despite increasing

185 with NT-proBNP levels above the prespecified cut point of 389 pg/mL were at a markedly increased risk

186 A cut point of 4 ideally balanced false negatives and fals

187 A CACS cut point of 400 was the most efficient coronary calcium

188 o-treat analysis using the prespecified CrCl cut point of 50 mL/min and additional exploratory cut po

189 A cut point of 6.0 muIU/ml was chosen from pilot work in t

190 Risk score performance was compared with the cut point of 7c on the Functional Assessment Staging (FA

191 A scoring cut point of 9 demonstrated good interrater reliability

192 C>0 was 0.76, whereas that using the optimal cut point of CAC>/=22 was 0.81.

193 For the cut point of FFR, iFR, and whole-cycle Pd/Pa, 34.6% (155

194 For a cut point of less than +0.75 D hyperopia in the third gr

195 "Frail" was defined by an optimal cut point of LFI >= 4.5.

196 "Frail" was defined by an optimal cut point of LFI 4.5.

197 %SUVremaining dichotomized at a cut point of maximum sum of sensitivity and specificity

198 -selectin (>137.3 ng/mL, the 95th percentile cut point of the control distribution).

199 centile reference limit (0.04 microg/l), the cut point of the predecessor assay (0.1 microg/l), and 1

200 ne aminotransferase (ALT) elevation over the cut point of the reference laboratory (ALT > 43) and the

201 Shc ratio cut points of <0.35 and >0.65 were identified and indepe

202 the absolute CAC amount, and the common CAC cut points of 100 and 400 seem to perform well.

203 hologic parameters and poor OS, with optimal cut points of 26 ng/mL and 450 pg/mL, respectively.

204 unt were defined as high or low according to cut points of 3 mg/L, 14 mumol/L, and 9 x10(9)/L, respec

205 Ki67-SI cut points of 3.5% and 7.1% were previously found to be

206 Survival based on various cut points of DSN was investigated; there was no differe

207 rical net reclassification improvement using cut points of less than 7.5% to 22.5% or greater was 0.2

208 0 interpreting physicians and conveyed their cut points of minimally acceptable performance.

209 After evaluation of cut points of moderate leisure-time activity (approximat

210 was trichotomized using previously reported cut points of no dozing, some dozing, and significant do

211 based on previously established abnormality cut points of standardized uptake value ratio 1.48 (A) a

212 To categorize patients, cut points of three and nine months were used.

213 Using a cut-point of >or=421 for the polymerase chain reaction r

214 pplying the polymerase chain reaction with a cut-point of >or=421 to the second cohort resulted in a

215 vourable event; from a 60% reduction under a cut-point of 1.00 to a 79% reduction when the MPR cut-po

216 0.87, indicating very good discrimination; a cut-point of 37.1 mg/L best discriminated confirmed bact

217 Using a cut-point of 4%, this latter BREASTAID model had 97.6% s

218 The widely used PSA cut-point of 4.0 ng/ml increasingly appears arbitrary, b

219 In NHANES (ARIC/CHS), the cut-point of 5 or more points selected 35% (40%) of pers

220 A cut-point of 6.6 h was established for a FLAIR SIR <1.15

221 curve analysis revealed an optimal NT-proBNP cut-point of 6813 ng/L for predicting death.

222 an of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of ass

223 Cut-points of </= 372, >2160 and >4806 counts * min(-1)

224 iles of corrected creatinine clearance, with cut-points of 46.2, 63.1 and 81.5 ml/min per 72 kg.

225 f the ROC, and identification of the optimal cut point on the ROC curve are discussed.

226 In analyses using a 5% weight loss cut point, only microvascular responses improved in the

227 No specific cut point or change in PSA has been prospectively valida

228 s directly compared different tests, scores, cut points, or test combinations.

229 A; for urinary LAM strip test, grade 1 and 2 cut-points performed similarly, irrespective of HIV stat

230 -9 (PHQ-9) and categorized using a validated cut point (PHQ-9 >=10).

231 cant differences in risk for death, but each cut-point predicted risk to a similar degree.

232 Platelet reactivity was below the cut points previously associated with ischemic risk meas

233 A priori cut points provided lower and higher recurrent arrhythmi

234 man partial correlation analyses, applying a cut-point (|r| >= 0.15) and Bonferroni correction (P < 1

235 and responsiveness of RCAT and to estimate a cut-point score and minimal important difference (MID).

236 Results suggested a cut-point score of 21 or less can be used to identify pa

237 On the basis of established cut point scores for each symptom questionnaire, 12.2% o

238 nalyzed continuous or categorical (.71 ng/mL cut point) serum B-CTx in stepwise forward multivariate

239 As the cut point shifts, sensitivity and specificity shift.

240 o fall outside one or more of the identified cut points should be reviewed in the context of an overa

241 ose performance falls outside the identified cut points should be reviewed in the context of their sp

242 ression analysis using sex-specific quartile cut points, subjects in quartile 4 in comparison with qu

243 Using the healthy subject cut point, suspected NAFLD was observed in 14.3% of nond

244 Based on the reference laboratory cut point, suspected NAFLD was observed in 3.2% of nondr

245 Of the metrics and cut points tested, a total respiratory disturbance index

246 quately in black or white women, using lower cut points than usual.

247 idelines recommend use of a cardiac troponin cut point that corresponds to the 99 th percentile of a

248 SS) and to determine whether there is an age cut point that is associated with CSS decrement.

249 Examination scores at or below the screening cut point, the HR was 1.77 (95% CI, 0.74-4.23; P =.20) i

250 Using these cut points, the Adapted Cognitive Exam appropriately cla

251 Per the manufacturer's cut-point, the result of the second test was discordant

252 With optimized cut-points, the absence of all 4 risk factors identified

253 Lowering the cut point to capture all type 1 ROP cases (sensitivity,

254 Diseases, 10th Revision (ICD-10) or use of a cut point to define depression from standardized rating

255 Using the median as a cut point to define endothelial dysfunction, increasing

256 We used a sputum eosinophil 2% cut point to define subjects with either an eosinophilic

257 eristic analysis determined the optimal BMPC cut point to predict for 1-year mortality in patients wi

258 time, the Panel cannot recommend a specific cut point to trigger a biopsy for men taking a 5-ARI.

259 and non-dominant wrist, and we proposed new cut points to attenuate these differences.

260 ilatory class system that correlates VE/VCO2 cut points to cardiac-related events.

261 ed model to develop an ordinal NEC score and cut points to develop a dichotomous case definition base

262 We chose cut points to focus on patients with moderate-severe dem

263 Final cut points to identify low performance were as follows:

264 Alternative cut points to RECIST standards provided no meaningful im

265 ing, with > 15.5 mutations-per-megabase as a cut-point to define TMB-H tumors.

266 the curve of 0.648 (p < 0.001); the optimal cut-point to predict six-month mortality ranged from 5 t

267 Recommended cut-points to identify those at high risk for T2D would

268 d when treating stenoses below physiological cut points; treating stenoses with fractional flow reser

269 diagnostic test; however, they depend on the cut point used to define "positive" and "negative" test

270 milar findings were observed with 30-day PRU cut points used to define high on-treatment platelet rea

271 Depending on the cut points used, an elevated concentration of low-densit

272 varies both by the prostate-specific antigen cut-point used and by the primary therapy employed.

273 Instead of using a fixed PSA cut-point, using statistical prediction models and consi

274 in patients treated with beta-blockers, the cut point value of 14 mg x kg(-1) x min(-1) for referral

275 Cut point values for significance were predefined as </=

276 ce of sustained weight loss, and of baseline cut-point values of FINDRISC score, fasting plasma gluco

277 The cut point was above the median of 3.3 g/mL* (P = 0.043).

278 ariables were used in MVAs, the 3.5% Ki67-SI cut point was not significant.

279 The 7.1% cut point was related to BF (P =.09), DM (P =.0008), and

280 ce of LDL-C discordance as defined by median cut points was 11.6%, 18.9%, and 24.3% for NHDL-C, apoB,

281 The optimal cut-point was a score >= 4, which had a sensitivity of 7

282 oint of 1.00 to a 79% reduction when the MPR cut-point was set at 0.8.

283 Decreasing the value of MPR, at which a cut-point was taken, was associated with a progressively

284 CAGE questionnaire and the SAAST at standard cut-points was lowest for Mexican-American women (0.21 a

285 When using clinical cut-points we additionally found associations between LT

286 patients, and the residual risk after these cut points were 0.2% for low-risk, 5.0% for medium-risk,

287 Methylation cut points were selected to maximize the log-rank statis

288 TFV-DP cut points were selected using logistic prediction model

289 h round of scoring, all expert radiologists' cut points were summarized into a mean, median, mode, an

290 The optimal cut-points were 1.47 mmol/L (130 mg/dL) for triglyceride

291 ective sensitivity and specificity for these cut-points were 67%, 64%, and 57% and 71%, 68%, and 85%.

292 To examine classification differences, cut-points were cross-validated with free-play and DVD v

293 best markers of insulin resistance; optimal cut-points were identified and analyzed for predictive p

294 ty varies considerably with new and standard cut-points, which makes it impractical to use the new on

295 Precise definition of the best TS cut point will require further analysis in a large, pros

296 Using the first operating cut point with high specificity, for EyePACS-1, the sens

297 oint of 50 mL/min and additional exploratory cut points with the Cockcroft-Gault formula.

298 We detected the optimal cut-point with the information entropy principle.

299 ere shown to illustrate the potential impact cut points would have on radiology practice.

300 physician's performance falling outside the cut points would result in a recommendation to consider