1 ) of 2405 had virological non-suppression in
cross-sectional analysis.
2 3 and 2011 were evaluated in a retrospective
cross-sectional analysis.
3 rs of these features were determined through
cross-sectional analysis.
4 Net-Sante cohort study were selected in this
cross-sectional analysis.
5 utrition Oxford cohort were included in this
cross-sectional analysis.
6 significantly associated with BP levels in a
cross-sectional analysis.
7 ke image data calibrated across centers in a
cross-sectional analysis.
8 China Kadoorie Biobank were included in this
cross-sectional analysis.
9 tients with serial testing were selected for
cross-sectional analysis.
10 ma and visual and ambulatory disability in a
cross-sectional analysis.
11 gly associated with higher BMI in unadjusted
cross-sectional analysis.
12 ery circular (isoperimetric ratio > 0.80) at
cross-sectional analysis.
13 with valid spirometry) were included in this
cross-sectional analysis.
14 Comparative
cross-sectional analysis.
15 rom April 2009 through December 2017 in this
cross-sectional analysis.
16 S from April 2009 through December 2017 in a
cross-sectional analysis.
17 ers were increased in all diabetic groups in
cross-sectional analysis.
18 Cross-sectional analysis.
19 In the
cross-sectional analysis,
1-standard-deviation increase
20 At baseline, in
cross-sectional analysis,
a doubling in plasma perfluoro
21 We performed a serial,
cross-sectional analysis among adults by using the 2007-
22 We performed a
cross-sectional analysis among participants of the popul
23 There were 39,588 in the unweighted
cross-sectional analysis and 39,710 in the unweighted fu
24 ation of genital-specific HIV clades only in
cross-sectional analysis and an absence of genital-speci
25 ration (CKD-EPI) equations using t tests for
cross-sectional analysis and linear regression for longi
26 Retrospective
cross-sectional analysis and longitudinal cohort study c
27 Using both
cross-sectional analysis and paired-sample analysis, we
28 We performed a
cross-sectional analysis and prospective survival analys
29 iance and Spearman rank correlation test for
cross-sectional analysis and Wilcoxon signed rank test f
30 ere QLQ-C30 global health score at 9 months (
cross-sectional analysis)
and mean QLQ-C30 global health
31 lescents with cerebral palsy to impairments (
cross-sectional analysis)
and to childhood QoL, pain, ps
32 ifferences in standardized cognitive scores (
cross-sectional analysis)
and trajectories of 20-year ch
33 those who started ART at least 6 months ago (
cross-sectional analysis);
and subsequent virological re
34 Forty-five patients were evaluated in a
cross-sectional analysis at a mean age of 21.4 (+/-3.3)
35 Cross-sectional analysis at baseline showed that earlier
36 sociation between dGI and AMD from the AREDS
cross-sectional analysis at baseline suggests that a red
37 Previous meta-analyses, based on only
cross-sectional analysis at the end of intervention tria
38 A
cross-sectional analysis based on data from 22,896 exami
39 response appeared to be short-lived based on
cross-sectional analysis before the malaria season, whic
40 fference in global health score at 9 months (
cross-sectional analysis)
between study groups (group 2
41 On
cross-sectional analysis,
bleeding rates decreased drama
42 uage barriers in health care and conducted a
cross sectional analysis by tabulating frequencies for g
43 tion to functioning as heavy atom markers in
cross-sectional analysis by FIB and EDX, redox-active me
44 In
cross-sectional analysis,
children with longer periods o
45 Cross-sectional analysis classified fibrosis on spectral
46 Data for this
cross-sectional analysis comes from the 1999 to 2004 Nat
47 This
cross-sectional analysis compared brain volumes at 6 mon
48 For anchor-based
cross-sectional analysis,
composite score MID (95% CI) w
49 Cross-sectional analysis conducted from January 2006 thr
50 An invasive,
cross sectional analysis confirmed the micro-SORS findin
51 ents with single visits were analyzed in the
cross-sectional analysis (
CSA) and those with a baseline
52 In
cross-sectional analysis,
current H. pylori infection at
53 This
cross-sectional analysis demonstrates associations of pa
54 This
cross-sectional analysis did not detect a correlation be
55 In
cross-sectional analysis,
each 5-unit increase in BMI wa
56 etting, and Participants: This retrospective
cross-sectional analysis evaluated Medicaid-insured hosp
57 This
cross-sectional analysis evaluated patients with HCC in
58 Cross-sectional analysis examining interstitial chest CT
59 In the
cross-sectional analysis,
for every 50 DOT/1000 PD incre
60 This was a
cross-sectional analysis from the 2010 Colombian Demogra
61 Cross-sectional analysis from the baseline examination o
62 , 1,483 patients were included in a baseline
cross-sectional analysis,
from which 276 were eligible f
63 In a large
cross-sectional analysis,
H pylori infection was inverse
64 We conducted a
cross-sectional analysis in 1477 women by using linear r
65 egulatory T [Treg] cells) were explored in a
cross-sectional analysis in 59 kidney transplant patient
66 This
cross-sectional analysis in a population-based cohort st
67 They performed a
cross-sectional analysis in elderly men from the Normati
68 This was a
cross-sectional analysis in participants of the NAFLD Da
69 We conducted a
cross-sectional analysis in the Johnston County Osteoart
70 We conducted a
cross-sectional analysis in the MESA (Multi-Ethnic Study
71 In a
cross-sectional analysis in the Netherlands, the prevale
72 This
cross-sectional analysis included 183 elderly individual
73 This
cross-sectional analysis included 239 elderly (age >/= 6
74 Cross-sectional analysis included a nationally represent
75 This
cross-sectional analysis included data from Iraqi and Af
76 In a
cross-sectional analysis,
including </=9210 European Ame
77 In an end of study
cross-sectional analysis,
including 132 additional resid
78 Cross-sectional analysis involving male Medicare fee-for
79 This
cross-sectional analysis is based on assessments done at
80 The aim of this
cross-sectional analysis is to investigate the associati
81 In this
cross-sectional analysis,
LTI was associated with NCI, e
82 In the
cross-sectional analysis,
multivariate binary logistic r
83 In this retrospective
cross-sectional analysis,
neurocognitive testing and 3 T
84 A
cross-sectional analysis of 1,960 patients with FH and 9
85 A
cross-sectional analysis of 1038 participants aged 40 ye
86 The study comprised a
cross-sectional analysis of 106 human immunodeficiency v
87 METHODOLOGY AND PRINCIPAL FINDINGS:
Cross-sectional analysis of 1066 men and women aged 60-7
88 of 2.5 mum or less (PM(2.5)) exposures in a
cross-sectional analysis of 1072 children in an existing
89 We performed a
cross-sectional analysis of 12-year follow-up data to co
90 We conducted a
cross-sectional analysis of 1295 adults with heterozygou
91 We report a
cross-sectional analysis of 1674 participants from four
92 This is a
cross-sectional analysis of 17D vaccinees living in none
93 DESIGN, SETTING, AND PARTICIPANTS: A
cross-sectional analysis of 1961 nonpregnant women (>or=
94 This was a
cross-sectional analysis of 2 body-composition databases
95 Cross-sectional analysis of 2 national data sets: the Na
96 We performed a
cross-sectional analysis of 2,713 participants from the
97 We performed a
cross-sectional analysis of 223 HIV-infected subjects wi
98 The study was a
cross-sectional analysis of 2375 Framingham Heart Study
99 We undertook a
cross-sectional analysis of 238 adolescents, all without
100 In this study, we describe a
cross-sectional analysis of 24 patients and 6 relatives
101 A
cross-sectional analysis of 24-h food recall data from 7
102 om electronic health records, we conducted a
cross-sectional analysis of 24.4 million primary care of
103 Cross-sectional analysis of 26 patients with PP-MS (mean
104 We then performed a
cross-sectional analysis of 28 SLE patients and 25 healt
105 In
cross-sectional analysis of 287 HIV-infected participant
106 and traditional and HIV-related factors in a
cross-sectional analysis of 297 women.
107 We performed a
cross-sectional analysis of 3 population-based cohort st
108 We performed a
cross-sectional analysis of 3,150 study participants.
109 A prospective
cross-sectional analysis of 314 eyes (314 subjects) with
110 We conducted a
cross-sectional analysis of 4,754 individuals from the N
111 ease Improving Global Outcomes guidelines, a
cross-sectional analysis of 4842 individuals showed that
112 Cross-sectional analysis of 49,408 participants in the N
113 Cross-sectional analysis of 5 National Health and Nutrit
114 We conducted a
cross-sectional analysis of 5,990 men and women from the
115 FR) was compared to measured GFR (mGFR) in a
cross-sectional analysis of 5504 participants in 10 stud
116 e gut microbiome and vitamin D, we conduct a
cross-sectional analysis of 567 older men quantifying se
117 mated glomerular filtration rate (eGFR) in a
cross-sectional analysis of 570 participants.
118 We performed a
cross-sectional analysis of 6032 (16% HIV/HCV coinfected
119 ed physical performance and weight loss in a
cross-sectional analysis of 638 adult patients receiving
120 The study was a
cross-sectional analysis of 666 HIV-positive and 242 con
121 Using this method, a
cross-sectional analysis of 75 tertiary memory clinic AD
122 The trial was a
cross-sectional analysis of 775 healthy women in the Wom
123 Data from a
cross-sectional analysis of 815 participants from 20 sch
124 Cross-sectional analysis of a cohort of 1738 patients wi
125 We performed a
cross-sectional analysis of a cohort of well-characteriz
126 This baseline
cross-sectional analysis of a cohort study performed fro
127 In this
cross-sectional analysis of a nationally representative
128 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of a nationally representative
129 TING, AND PATIENTS: A retrospective, serial,
cross-sectional analysis of a nationally representative
130 This
cross-sectional analysis of a prospective cohort involve
131 This is a
cross-sectional analysis of a prospective cohort of 26 p
132 This was a
cross-sectional analysis of a prospective cohort of well
133 This
cross-sectional analysis of a prospective observational
134 This is a
cross-sectional analysis of a prospective study includin
135 We conducted a
cross-sectional analysis of a randomly selected subset (
136 We performed a
cross-sectional analysis of a well-characterized prospec
137 This is a
cross-sectional analysis of adult participants who were
138 A
cross-sectional analysis of adult patients with liver ci
139 We conducted a
cross-sectional analysis of all culture-confirmed cases
140 This study assessed
cross-sectional analysis of all heart failure clinical t
141 A
cross-sectional analysis of all studies by age and a des
142 namics, we conduct a retrospective, repeated
cross-sectional analysis of anti-SARS-CoV-2 spike antibo
143 Cross-sectional analysis of antibiotic prescribing at 32
144 We conducted a
cross-sectional analysis of antiretroviral (ARV) treatme
145 We conducted a
cross-sectional analysis of associations between toenail
146 We conducted a
cross-sectional analysis of associations of 25(OH)D and
147 Design:
Cross-sectional analysis of baseline data from Newcastle
148 In this
cross-sectional analysis of baseline data from the Nethe
149 We conducted a
cross-sectional analysis of baseline data, including det
150 In this
cross-sectional analysis of baseline measurements of the
151 METHODS AND We conducted a
cross-sectional analysis of baseline risk factor measure
152 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of BPA concentrations and healt
153 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of carriers and noncarriers of
154 Here, we report a detailed
cross-sectional analysis of clinical, imaging and molecu
155 We performed a
cross-sectional analysis of community-dwelling adults fr
156 In a
cross-sectional analysis of current and former smokers,
157 Cross-sectional analysis of data collected following the
158 evalence of mutant clonal proliferation in a
cross-sectional analysis of data from 119 children and a
159 We employed a
cross-sectional analysis of data from 869 twins aged 7-1
160 We conducted a
cross-sectional analysis of data from adult contacts of
161 In a
cross-sectional analysis of data from an ongoing, prospe
162 We performed a
cross-sectional analysis of data from overweight or obes
163 Cross-sectional analysis of data from participants in th
164 We did a
cross-sectional analysis of data from participants of th
165 We performed a
cross-sectional analysis of data from the community-base
166 Cross-sectional analysis of data from the National Comor
167 A
cross-sectional analysis of data from the National Free
168 This study is a
cross-sectional analysis of data obtained on 3121 male a
169 In the
cross-sectional analysis of DFTJ cohort (15,575 particip
170 A retrospective
cross-sectional analysis of DNA from the epithelium and
171 Materials and Methods A retrospective,
cross-sectional analysis of ED visits was conducted by u
172 Cross-sectional analysis of electronic health record dat
173 Retrospective
cross-sectional analysis of emergency department visits
174 We performed a
cross-sectional analysis of endocrine surgeons identifie
175 This study was a retrospective,
cross-sectional analysis of exercise performance and lef
176 Cross-sectional analysis of follow-up data revealed that
177 We conducted a
cross-sectional analysis of four automated immunoassays
178 This was a
cross-sectional analysis of Google search volume index d
179 We performed a
cross-sectional analysis of HBV serology in 80 patients
180 We performed a
cross-sectional analysis of HERV-specific T cell respons
181 We conducted a
cross-sectional analysis of housing conditions relative
182 We conducted a
cross-sectional analysis of hypothyroidism, hyperthyroid
183 In this
cross-sectional analysis of individual patient interview
184 QoL outcomes in a longitudinal follow-up and
cross-sectional analysis of individuals included in the
185 In phase 1, a
cross-sectional analysis of knowledge, attitudes, and ha
186 Serial
cross-sectional analysis of Medicare beneficiaries aged
187 Serial
cross-sectional analysis of Medicare fee-for-service ben
188 DESIGN, SETTING, AND PARTICIPANTS: Serial
cross-sectional analysis of National Health and Nutritio
189 In this
cross-sectional analysis of observational cohort study d
190 In a
cross-sectional analysis of participants in the Baltimor
191 This
cross-sectional analysis of patients recruited into the
192 Multicenter, longitudinal,
cross-sectional analysis of patients undergoing PCI betw
193 e US Renal Data System database to perform a
cross-sectional analysis of patients who initiated HD be
194 The study was designed as a single-center
cross-sectional analysis of patients with JIA who were r
195 Additionally, in a
cross-sectional analysis of persons without diabetes, lo
196 Responses enabled a
cross-sectional analysis of physician demographics and t
197 In this
cross-sectional analysis of physicians who participated
198 We performed a
cross-sectional analysis of pooled screening logs from 4
199 METHODS AND We conducted a
cross-sectional analysis of population-based household-
200 multisite, university medical center-based,
cross-sectional analysis of potential associations betwe
201 Cross-sectional analysis of preliminary and categorical
202 A
cross-sectional analysis of prevalence of hepatitis B vi
203 A retrospective
cross-sectional analysis of privately insured female pat
204 We performed a
cross-sectional analysis of race, socioeconomic status,
205 Cross-sectional analysis of routine primary care electro
206 We performed a
cross-sectional analysis of serum anti-chlamydial immuno
207 We performed
cross-sectional analysis of serum antibody titers in 546
208 Design, Settings, and Participants:
Cross-sectional analysis of serum DHA levels together wi
209 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of serum lipid concentrations a
210 a systematic, comprehensive, and nationwide
cross-sectional analysis of surgical capacity in Lebanon
211 We performed a
cross-sectional analysis of survey data from the Alabama
212 A
cross-sectional analysis of symptomatic OA phenotypes wa
213 This study was a
cross-sectional analysis of TFAs, cis-MUFAs, SFAs, and P
214 A
cross-sectional analysis of the baseline examination was
215 This is a
cross-sectional analysis of the baseline visit of indivi
216 This study represents a
cross-sectional analysis of the birth cohort on returnin
217 We performed a
cross-sectional analysis of the editorial board gender c
218 Our study relied on a population-based,
cross-sectional analysis of the IBM Watson Health Market
219 Cross-sectional analysis of the indirect pathway reveale
220 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of the mean number of 9 serious
221 We performed a
cross-sectional analysis of the National Health and Nutr
222 In the present study, we performed a
cross-sectional analysis of the national registry of the
223 A
cross-sectional analysis of the Neurological, cOgnitive
224 We conducted a
cross-sectional analysis of the Norwegian Mother and Chi
225 DESIGN, SETTING, AND PARTICIPANTS: A
cross-sectional analysis of the outcomes of a 2007 20% s
226 We performed a
cross-sectional analysis of the prevalence of uncontroll
227 We conducted a serial,
cross-sectional analysis of the relationships between IP
228 We conducted a retrospective
cross-sectional analysis of the Texas Department of Stat
229 A
cross-sectional analysis of the utilization of coronary
230 We conducted a
cross-sectional analysis of those concurrently enrolled
231 DESIGN, SETTING, AND PARTICIPANTS: Serial
cross-sectional analysis of US population-weighted data
232 A retrospective,
cross-sectional analysis of VDBP levels used samples fro
233 This
cross-sectional analysis of women enrolled in a cohort s
234 In this
cross-sectional analysis,
patients were recruited from t
235 In a
cross-sectional analysis,
peripheral blood fibrocyte con
236 Cross-sectional analysis:
presence of pulmonary hyperten
237 Our
cross-sectional analysis provided some evidence that lon
238 er controlling for major confounders, in the
cross-sectional analysis psoriasis was significantly ass
239 Cross-sectional analysis revealed lower lung function in
240 A
cross-sectional analysis revealed that openness and agre
241 Cross-sectional analysis showed a significant decrease (
242 Results of the
cross-sectional analysis suggest that antibiotic-driven
243 sk of atrial fibrillation (AF), and a recent
cross-sectional analysis suggested that parental smoking
244 A
cross-sectional analysis that included 3,310 participant
245 t physicians.METHODSIRB-exempt and expedited
cross-sectional analysis through survey to NYC residency
246 We conducted a
cross-sectional analysis to determine the prevalence of
247 We conducted a
cross-sectional analysis to evaluate the relationship be
248 We conducted a
cross-sectional analysis to identify determinants of a p
249 We used standard time-series
cross-sectional analysis to investigate any association
250 Here, we performed a
cross-sectional analysis to study these associations amo
251 We conducted a
cross-sectional analysis to summarize and compare domest
252 In this
cross-sectional analysis,
urinary arsenic was inversely
253 Design, Setting, and Participants: This
cross-sectional analysis used data collected from Januar
254 This
cross-sectional analysis used data on 4,340 participants
255 Cross-sectional analysis used linear and logistic regres
256 This retrospective,
cross-sectional analysis used the 2014 State Inpatient D
257 We conducted a serial,
cross-sectional analysis using 1992-2017 data from pregn
258 In a separate
cross-sectional analysis using biomarkers of dietary fac
259 We conducted a
cross-sectional analysis using data collected from 1653
260 Cross-sectional analysis using data from the 2013 nation
261 We conducted a
cross-sectional analysis using enrollment data from the
262 We did a
cross-sectional analysis using general least-squares lin
263 By contrast, we find by
cross-sectional analysis using genetic and pharmacologic
264 Retrospective
cross-sectional analysis using publicly available FDA da
265 We performed a
cross-sectional analysis using the 2008 National Health
266 We performed a
cross-sectional analysis using the Avon Longitudinal Stu
267 We conducted a
cross-sectional analysis using the data collected from t
268 We conducted a
cross-sectional analysis,
using 5 years of electronic da
269 A
cross-sectional analysis was conducted among youth aged
270 A
cross-sectional analysis was conducted by using data (n
271 A
cross-sectional analysis was conducted in 340 adults of
272 A
cross-sectional analysis was conducted in 877 HIV+ subje
273 A
cross-sectional analysis was conducted in men aged 18-70
274 A
cross-sectional analysis was conducted on patients seen
275 A
cross-sectional analysis was conducted using 1,366 mater
276 A repeated
cross-sectional analysis was conducted using data from t
277 A
cross-sectional analysis was conducted using data on adu
278 A retrospective
cross-sectional analysis was conducted using the 2008 Na
279 This
cross-sectional analysis was nested within a National In
280 This
cross-sectional analysis was part of the Rotterdam Study
281 A
cross-sectional analysis was performed encompassing pati
282 In substudy A, a
cross-sectional analysis was performed to determine the
283 A retrospective
cross-sectional analysis was performed using data contai
284 A
cross-sectional analysis was performed using data from t
285 A secondary
cross-sectional analysis was performed using the Healthc
286 A
cross-sectional analysis was performed with the use of b
287 A
cross-sectional analysis was performed with the use of d
288 Cross-sectional analysis was performed within the PESA (
289 In a secondary,
cross-sectional analysis,
we examined the relationship b
290 In the present
cross-sectional analysis,
we included those participants
291 In a
cross-sectional analysis,
we investigated whether spouse
292 In a 2014
cross-sectional analysis,
we showed that amyloid and neu
293 In a
cross-sectional analysis,
we studied 139 index cases (pr
294 In a
cross-sectional analysis,
we tested participants' most r
295 In this
cross-sectional analysis,
we used a type 1 diabetes gene
296 For this full-data,
cross-sectional analysis,
we used UK Biobank data for ad
297 Data for this
cross-sectional analysis were obtained from NHANES 2005-
298 Absence of correlation in
cross-sectional analysis with clinical phenotypes parall
299 -like growth factor-1 at 6-9 years of age: a
cross-sectional analysis within the C8 Health Project.
300 We conducted a
cross-sectional analysis within the community-based mult