ライフサイエンスコーパス: trend over time

1 ur body sites during pregnancy (P > 0.05 for trends over time).

2 nt in lay date; however, we detected no such trend over time.

3 am-negative and fungal peritonitis showed no trend over time.

4 irths (95% CI 1.26-1.30) with no significant trend over time.

5 Regression analysis was used to evaluate the trend over time.

6 ion-based studies, both showing a decreasing trend over time.

7 2=90.44%), respectively, with no significant trend over time.

8 s for each eye, which removes any systematic trend over time.

9 relatively high, with perhaps an increasing trend over time.

10 he set boundaries, while showing a declining trend over time.

11 LEDAI change from baseline showed a positive trend over time.

12 6,64) 2.97; P=0.013, show a more fluctuating trend over time.

13 985-1994, there were indications of cyclical trends over time.

14 s unique database will be useful in tracking trends over time.

15 imating-equation method was used to test for trends over time.

16 on's children is describing rates of use and trends over time.

17 D from 2020 to 2023 were evaluated to assess trends over time.

18 tic regression models tested for significant trends over time.

19 es in characterising symptom variability and trends over time.

20 e crucial insights into pertussis diagnostic trends over time.

21 e and accurate assessment of CO(2) emissions trends over time.

22 analyses were used to assess the changes in trends over time.

23 inear regression analysis was used to assess trends over time.

24 me-series analyses were performed to examine trends over time.

25 s of variation in comorbidity prevalence and trends over time.

26 plication and examine associated factors and trends over time.

27 atric disorders and dementia showed distinct trends over time.

28 -Kendall trend test was performed to examine trends over time.

29 spline terms to account for seasonality and trends over time.

30 ratory distress syndrome classification, and trends over time.

31 ly evaluate cancer comorbidities and examine trends over time.

32 revalence odds ratios (aORs) with 95% CI and trends over time.

33 2006-12, and 2013-2019, and evaluated their trends over time.

34 ulation to understand relative incidence and trends over time.

35 ed Network for Organ Sharing data to examine trends over time.

36 cus, and pipeline categories, to investigate trends over time.

37 d negative binomial regression to assess for trends over time.

38 associate groups of chemicals based on their trends over time.

39 for Scotland in 1991, allowing assessment of trends over time.

40 ood versus stool and to determine resistance trends over time.

41 int regression analysis was applied to study trends over time.

42 d to pool survival estimates, accounting for trends over time.

43 and regions involved, as well as to identify trends over time.

44 ital) and VASQIP predicted risk of mortality trends over time.

45 regions and institution volume and assesses trends over time.

46 ent data and analyzed treatment and survival trends over time.

47 adherence to process measures and hypoxemia trends over time.

48 For selected variables, we assessed trends over time.

49 vel fixed-effect analyses and adjustment for trends over time.

50 erence about spatial variation in population trends over time.

51 ancer by race/ethnicity and age and examined trends over time.

52 d negative binomial regression to assess for trends over time.

53 ationship with testing and to assess testing trends over time.

54 the time of relapse, to examine the survival trends over time.

55 hose active surveillance, with an increasing trend over time; 109 patients (12.8%) chose RP, and 37 p

56 ], respectively; P = .01), with a decreasing trend over time (65.6% [IQR, 51.6%-85.9%] for the first

57 ed estimating equations were used to examine trends over time, accounting for correlated observations

58 Trends over time across 3 MIS-C pandemic waves were asse

59 When plotted as gender-dependent trends over time, all four conferences showed a clear pr

60 o evidence in support of different incidence trends over time among persons with and without HIV/AIDS

61 We examined FP trends over time among WRAU and subgroups, and trends in

62 Determine trends over time and by hospital in PT/OT utilization.

63 Quasi-Poisson regression models to estimate trends over time and by OAT exposure, adjusting for pote

64 estimating equations were used to model AMR trends over time and by US census region.

65 ual mortality in each location, allowing for trends over time and clustering of annual count anomalie

66 Adjusted trends over time and differences by social deprivation,

67 Trends over time and factors associated with intellectua

68 identified relevant country-specific kinship trends over time and found that authors who are part of

69 uman immunodeficiency virus (HIV)-stratified trends over time and investigate the relationship betwee

70 ween different spill sources, differences in trends over time and it allows in particular assessing t

71 riods and relatively early after transplant, trends over time and long-term weight evolution have not

72 A review of per capita food disappearance trends over time and of trends in individual intakes is

73 We examined trends over time and regional variation in LTP rates in

74 We examined trends over time and variation in antidepressant prescri

75 Trends over time and variations between the SFM and FFDM

76 Incidence, any trend over time, and predictors of ischemic stroke after

77 me series analysis accounting for non-linear trends over time, and associations were estimated in rel

78 common autoimmune diseases in the UK, assess trends over time, and by sex, age, socioeconomic status,

79 e and prevalence of IRDs in the US, identify trends over time, and examine disparities by age, sex, r

80 east cancer in sub-Saharan Africa to examine trends over time, and investigate sources of variations

81 and race while accounting for demographics, trends over time, and overdispersion using latent lognor

82 ms of this study were to describe incidence, trends over time, and predictors of ICrH within 1 year a

83 lisation rates between countries, to compare trends over time, and to explore whether variations in l

84 he allocation of local resources, to monitor trends over time, and to highlight effective population

85 s patterns; discern population and community trends over time; and estimate demographic rates and pop

86 Local biodiversity trends over time are likely to be decoupled from global

87 overall incidence of autoimmune diseases and trends over time are scarce and inconsistent.

88 Chinese diaspora, but their variability and trends over time are unknown.

89 Trends over time between 2001 and 2010 were examined in

90 There were no trends over time, but mortality was significantly associ

91 Trends over time by age, sex, region, and stage.

92 The overall prevalence and trends over time by maternal race and ethnicity were det

93 e and number of payments, and average annual trends over time, by aggregate value and by nature-of-pa

94 ted cancers (e.g. cervical and anal cancer), trends over time do not appear to be influenced by highl

95 species' activity periods, and also a stable trend over time due to differential responses to warming

96 d selected comorbidities were calculated and trends over time evaluated.

97 sion was used to determine each individual's trend over time, expressed as annual percentage change.

98 as an index of local abundance, we estimated trends over time for a diverse suite of 57 resident spec

99 Trends over time for blood pressure and CVD were smaller

100 Trends over time for NEI-VFQ-25 and GSS scores were eval

101 d) and linear regression were used to assess trends over time for recall and biopsy rates, biopsy rat

102 ted data on monthly or annual doses (or dose trends over time) for these workers.

103 Trends over time from 2004 to 2020 were calculated using

104 terval [CI], 7.3%-12.2%), with an increasing trend over time, from 8.5% in 1996-1999 to 21.1% in 2010

105 Published data on LTF incidence trends over time has not been uniform.

106 ted States has not been evaluated, and their trends over time have not been described.

107 Risk factors for under-recognition and trends over time have not been fully described.

108 There was no evidence of a trend over time in either the pre- or postimplementation

109 The trend over time in Kmax flattening was significantly dif

110 An important decreasing trend over time in mean LoS and LoS > ED was observed fo

111 ency of deaths in each year and examined the trend over time in the ratio of the peak to the trough o

112 We examined the trend over time in use of breast-conserving surgery amon

113 for ages 2-18 y in 2015-2018 and 2) describe trends over time in 2009-2018.

114 We used census surveys to explore trends over time in administrative employment in health

115 We investigated trends over time in all-cause mortality and for specific

116 The main outcomes were trends over time in average wholesale prices and wholesa

117 portunistic pathogens, antibiotic resistance trends over time in blood were strongly associated with

118 f this study is to report on epidemiological trends over time in childhood viral meningitis in Englan

119 id aging of the US population, understanding trends over time in dementia occurrence is essential to

120 eparate the distinct impact of covariates on trends over time in disease onset and the probability of

121 The lack of Hg trends over time in glaucous-winged gull feathers provid

122 This study sought to analyze recent trends over time in heart failure (HF) hospital stay rat

123 This study sought to determine recent trends over time in heart failure hospitalization, patie

124 We determined trends over time in incidence of the following outcomes

125 The trends over time in life expectancy varied by America, l

126 In this study, we examined trends over time in maternal-only, paternal-only, and do

127 ased studies on the epidemiology, causes, or trends over time in meningitis, especially in industrial

128 To assess trends over time in methods used to evaluate undergradua

129 Trends over time in MRSA were analyzed, and demographic

130 There was no difference in trends over time in PCP visits between survivors and eit

131 The aim of this study was to evaluate trends over time in perioperative outcomes for patients

132 Our aim was to study trends over time in prostate-cancer mortality and incide

133 We also evaluated trends over time in rates of conversion from OFF to ON C

134 gical drivers influencing changing abundance trends over time in rural West Africa's savannas.

135 Trends over time in survivors' care tended to be better

136 However, there were significant trends over time in the effects of some of these factors

137 The aim of this study was to estimate the trends over time in the prevalence of these acute stroke

138 but long-term data on body mass index (BMI) trends over time in this population are lacking.

139 sis (DBT) screening and evaluate performance trends over time in U.S. community practice.

140 g digital mammography and assess performance trends over time in U.S. community practice.

141 We reviewed the extent of (and trends over time in) reporting LTFU and treatment discon

142 ual variability, some of them showed similar trends over time, including 2-(E)-octenal as a marker of

143 Quantifying urban emissions and trends over time is needed to evaluate the efficacy of p

144 Among studies evaluating trends over time, most (31 of 37, 84%) studies reported

145 The URM trends over time need further investigation to inform st

146 The important decreasing trend over time of LoS post CS, coupled with the impact

147 Incidence, case fatality rate, and trends over time of firearm injury according to intent,

148 tients initiating different OACs, along with trends over time of patients initiating OACs, were compa

149 int regression modeling to assess changes in trends over time on the basis of inflection points of th

150 -prick blood testing toward tracking glucose trends over time, optimal therapeutic interventions, and

151 4.5% and 11.6%, without a significant linear trend over time (OR, 0.95; 95% CI, 0.87-1.03; P = .24).

152 rrelated with average lay date yet showed no trend over time, or in relation to increasing SST or the

153 ave 4 (8 weeks, 0.73% CFR), with a declining trend over time (p = 0.01208).

154 To better understand incidence trends over time requires separation of age and cohort e

155 ring the entire follow-up period and the BMI trend over time resulted significantly modified accordin

156 Effects of trend over time, seasonality, age and gender on overall

157 ambling frequency did not show a significant trend over time (slope = -0.003; 95% CI, -0.053 to 0.047

158 assimilation exhibits an overall increasing trend over time, suggesting that peer effects become str

159 The decreasing trend over time suggests reductions in research investme

160 ough microbiome changes followed more linear trends over time, the proportion of bacteria that can fu

161 on and outcome in ICU patients with AIDS and trends over time therein.

162 We evaluated trends over time to determine whether the empirical dist

163 We provided daily reports on incidence and trends over time to support HOCI investigation and gener

164 Nonetheless, the general trend over time toward lower delta18O values at numerous

165 We analysed trends over time using linear, logistic, and quantile re

166 probability of definitive local therapy and trends over time using multivariate logistic regression.

167 ave provided a description of HOCI rates and trends over time using real-time shifting denominator da

168 rupted time-series analysis examined whether trends over time varied by insurance type and race and e

169 The RAI rate trend over time was compared between the sites using lin

170 end in cross-sectional analysis, the secular trend over time was decreasing for patella lead levels a

171 Annual case count, incidence rate, and trend over time were calculated.

172 No significant differences between groups in trend over time were observed for REE and energy intake;

173 Tests for trends over time were also conducted.

174 Sex- and age-specific trends over time were also examined to identify the demo

175 nomic factors with myopia were assessed, and trends over time were analyzed using a factorial logisti

176 Trends over time were analyzed using linear regression a

177 Trends over time were analyzed with linear regression, a

178 using the validated GRADE scoring system and trends over time were analyzed.

179 Trends over time were assessed with univariate logistic

180 Incidence rates of selected diagnoses and trends over time were compared with those from a previou

181 Clinical demographics and mortality trends over time were described for the HPV-associated a

182 EtCO2 trends over time were evaluated using Cochran-Armitage t

183 Trends over time were evaluated using Poisson regression

184 e assessed by the disc diffusion method, and trends over time were evaluated.

185 Treatment and survival trends over time were examined using the National Cancer

186 6 mo, 1, 2, 5, 10, and 15 y), and continuous trends over time were generated.

187 Also, most of the significant trends over time were negative, suggesting a possible ge

188 gical phenomena combine to direct vegetation trends over time, with climate and disturbance playing p