1 3 and 2011 were evaluated in a retrospective
cross-sectional analysis.
2 rs of these features were determined through
cross-sectional analysis.
3 Net-Sante cohort study were selected in this
cross-sectional analysis.
4 utrition Oxford cohort were included in this
cross-sectional analysis.
5 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 ted with a low eGFR in this population-based
cross-sectional analysis.
15 Three cohort studies were combined for
cross-sectional analysis.
16 two clinical cohorts) were included in this
cross-sectional analysis.
17 The study was a masked
cross-sectional analysis.
18 nd 41 healthy control subjects included in a
cross-sectional analysis.
19 n 932 men and 1,097 women were available for
cross-sectional analysis.
20 atients who had HSV-2, by use of data from a
cross-sectional analysis.
21 ) of 2405 had virological non-suppression in
cross-sectional analysis.
22 In the
cross-sectional analysis,
1-standard-deviation increase
23 In this
cross-sectional analysis,
6,653 subjects with an ankle b
24 At baseline, in
cross-sectional analysis,
a doubling in plasma perfluoro
25 We performed a
cross-sectional analysis among participants of the popul
26 There were 39,588 in the unweighted
cross-sectional analysis and 39,710 in the unweighted fu
27 ation of genital-specific HIV clades only in
cross-sectional analysis and an absence of genital-speci
28 ration (CKD-EPI) equations using t tests for
cross-sectional analysis and linear regression for longi
29 Retrospective
cross-sectional analysis and longitudinal cohort study c
30 Using both
cross-sectional analysis and paired-sample analysis, we
31 We performed a
cross-sectional analysis and prospective survival analys
32 lescents with cerebral palsy to impairments (
cross-sectional analysis)
and to childhood QoL, pain, ps
33 ifferences in standardized cognitive scores (
cross-sectional analysis)
and trajectories of 20-year ch
34 those who started ART at least 6 months ago (
cross-sectional analysis);
and subsequent virological re
35 In a
cross-sectional analysis at baseline (1989-1990), disabi
36 Cross-sectional analysis at baseline showed that earlier
37 sociation between dGI and AMD from the AREDS
cross-sectional analysis at baseline suggests that a red
38 In a
cross-sectional analysis at study entry, three-fourths o
39 hese comparisons of the compartments in this
cross-sectional analysis at study entry.
40 Previous meta-analyses, based on only
cross-sectional analysis at the end of intervention tria
41 A
cross-sectional analysis based on data from 22,896 exami
42 response appeared to be short-lived based on
cross-sectional analysis before the malaria season, whic
43 On
cross-sectional analysis,
bleeding rates decreased drama
44 reports of heritability of lung function in
cross-sectional analysis,
but no prior reports of herita
45 uage barriers in health care and conducted a
cross sectional analysis by tabulating frequencies for g
46 tion to functioning as heavy atom markers in
cross-sectional analysis by FIB and EDX, redox-active me
47 In
cross-sectional analysis,
children with longer periods o
48 In a
cross-sectional analysis,
children with velocardiofacial
49 Data for this
cross-sectional analysis comes from the 1999 to 2004 Nat
50 This
cross-sectional analysis compared brain volumes at 6 mon
51 We performed a
cross sectional analysis comparing 39 HCV(+) with 60 HCV
52 We performed a
cross-sectional analysis comparing participants in the T
53 For anchor-based
cross-sectional analysis,
composite score MID (95% CI) w
54 Cross-sectional analysis conducted from January 2006 thr
55 An invasive,
cross sectional analysis confirmed the micro-SORS findin
56 ents with single visits were analyzed in the
cross-sectional analysis (
CSA) and those with a baseline
57 In
cross-sectional analysis,
current H. pylori infection at
58 This
cross-sectional analysis demonstrates associations of pa
59 This
cross-sectional analysis did not detect a correlation be
60 In
cross-sectional analysis,
each 5-unit increase in BMI wa
61 etting, and Participants: This retrospective
cross-sectional analysis evaluated Medicaid-insured hosp
62 This was a
cross-sectional analysis from the 2010 Colombian Demogra
63 Cross-sectional analysis from the baseline examination o
64 , 1,483 patients were included in a baseline
cross-sectional analysis,
from which 276 were eligible f
65 In a large
cross-sectional analysis,
H pylori infection was inverse
66 We conducted a
cross-sectional analysis in 1477 women by using linear r
67 egulatory T [Treg] cells) were explored in a
cross-sectional analysis in 59 kidney transplant patient
68 This
cross-sectional analysis in a population-based cohort st
69 They performed a
cross-sectional analysis in elderly men from the Normati
70 This was a
cross-sectional analysis in participants of the NAFLD Da
71 We conducted a
cross-sectional analysis in the Johnston County Osteoart
72 In a
cross-sectional analysis in the Netherlands, the prevale
73 ng adolescence (13-19 y) were completed in a
cross-sectional analysis in young women (age 18-31 y; n
74 This
cross-sectional analysis included 183 elderly individual
75 This
cross-sectional analysis included 239 elderly (age >/= 6
76 This 2000
cross-sectional analysis included 6,080 US participants
77 Cross-sectional analysis included a nationally represent
78 In a
cross-sectional analysis,
including </=9210 European Ame
79 In an end of study
cross-sectional analysis,
including 132 additional resid
80 Cross-sectional analysis involving male Medicare fee-for
81 In this
cross-sectional analysis,
LTI was associated with NCI, e
82 We conducted a retrospective
cross sectional analysis of hearing loss in 109 male and
83 A
cross-sectional analysis of 1,960 patients with FH and 9
84 A
cross-sectional analysis of 1038 participants aged 40 ye
85 The study comprised a
cross-sectional analysis of 106 human immunodeficiency v
86 METHODOLOGY AND PRINCIPAL FINDINGS:
Cross-sectional analysis of 1066 men and women aged 60-7
87 This was a
cross-sectional analysis of 11 116 participants enrolled
88 We performed a
cross-sectional analysis of 12-year follow-up data to co
89 We conducted a
cross-sectional analysis of 1295 adults with heterozygou
90 We performed a
cross-sectional analysis of 1370 males and females aged
91 The study was a
cross-sectional analysis of 139 HIV-1-infected subjects
92 We performed a
cross-sectional analysis of 150,391 visits by black Medi
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 large data sets (NHANES II
96 Cross-sectional analysis of 2 national data sets: the Na
97 We performed a
cross-sectional analysis of 2,713 participants from the
98 The authors performed a
cross-sectional analysis of 2001-2002 data from a commun
99 We conducted a
cross-sectional analysis of 205 maintenance hemodialysis
100 The study was a
cross-sectional analysis of 215 women aged 18-31 y.
101 We performed a
cross-sectional analysis of 223 HIV-infected subjects wi
102 The study was a
cross-sectional analysis of 2375 Framingham Heart Study
103 We undertook a
cross-sectional analysis of 238 adolescents, all without
104 In this study, we describe a
cross-sectional analysis of 24 patients and 6 relatives
105 A
cross-sectional analysis of 24-h food recall data from 7
106 m 1985 to 1997, we conducted a retrospective
cross-sectional analysis of 2570 patients (270 African A
107 Cross-sectional analysis of 26 patients with PP-MS (mean
108 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of 27,158 apparently healthy US
109 We then performed a
cross-sectional analysis of 28 SLE patients and 25 healt
110 In
cross-sectional analysis of 287 HIV-infected participant
111 and traditional and HIV-related factors in a
cross-sectional analysis of 297 women.
112 We performed a
cross-sectional analysis of 3 population-based cohort st
113 We performed a
cross-sectional analysis of 3,150 study participants.
114 A prospective
cross-sectional analysis of 314 eyes (314 subjects) with
115 nd tissue plasminogen activator antigen in a
cross-sectional analysis of 3223 adults free of cardiova
116 We conducted a
cross-sectional analysis of 4,754 individuals from the N
117 ease Improving Global Outcomes guidelines, a
cross-sectional analysis of 4842 individuals showed that
118 Cross-sectional analysis of 49,408 participants in the N
119 Cross-sectional analysis of 5 National Health and Nutrit
120 We conducted a
cross-sectional analysis of 5,990 men and women from the
121 FR) was compared to measured GFR (mGFR) in a
cross-sectional analysis of 5504 participants in 10 stud
122 ed physical performance and weight loss in a
cross-sectional analysis of 638 adult patients receiving
123 The study was a
cross-sectional analysis of 666 HIV-positive and 242 con
124 this hypothesis, we performed a prospective
cross-sectional analysis of 75 elderly institutionalized
125 The trial was a
cross-sectional analysis of 775 healthy women in the Wom
126 The first was an exploratory
cross-sectional analysis of a clinically heterogeneous s
127 Cross-sectional analysis of a cohort of 1738 patients wi
128 Cross-sectional analysis of a cohort of primary HIV-1 in
129 We performed a
cross-sectional analysis of a cohort of well-characteriz
130 This was a
cross-sectional analysis of a cohort study of nutrition
131 This baseline
cross-sectional analysis of a cohort study performed fro
132 In this
cross-sectional analysis of a nationally representative
133 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of a nationally representative
134 TING, AND PATIENTS: A retrospective, serial,
cross-sectional analysis of a nationally representative
135 This
cross-sectional analysis of a prospective cohort involve
136 This is a
cross-sectional analysis of a prospective cohort of 26 p
137 This was a
cross-sectional analysis of a prospective cohort of well
138 This
cross-sectional analysis of a prospective observational
139 This is a
cross-sectional analysis of a prospective study includin
140 We conducted a
cross-sectional analysis of a randomly selected subset (
141 We performed a
cross-sectional analysis of administrative discharge abs
142 This is a
cross-sectional analysis of adult participants who were
143 The study design was a
cross-sectional analysis of all adult patients who under
144 We conducted a
cross-sectional analysis of all culture-confirmed cases
145 A
cross-sectional analysis of all patients who underwent t
146 A
cross-sectional analysis of all studies by age and a des
147 We conducted a
cross-sectional analysis of antiretroviral (ARV) treatme
148 Results from the
cross-sectional analysis of AREDS baseline data suggest
149 We conducted a
cross-sectional analysis of associations between toenail
150 We conducted a
cross-sectional analysis of associations of 25(OH)D and
151 c density, the authors conducted a 1998-2005
cross-sectional analysis of baseline clinical trial data
152 Design:
Cross-sectional analysis of baseline data from Newcastle
153 In this
cross-sectional analysis of baseline data from the Nethe
154 We conducted a
cross-sectional analysis of baseline data, including det
155 In this
cross-sectional analysis of baseline measurements of the
156 METHODS AND We conducted a
cross-sectional analysis of baseline risk factor measure
157 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of BPA concentrations and healt
158 nto the immunologic basis of this disease, a
cross-sectional analysis of cellular and humoral immunit
159 We performed a
cross-sectional analysis of community-dwelling adults fr
160 Cross-sectional analysis of coronal caries data revealed
161 In a
cross-sectional analysis of current and former smokers,
162 Cross-sectional analysis of data collected following the
163 evalence of mutant clonal proliferation in a
cross-sectional analysis of data from 119 children and a
164 lated to female sex hormones, we performed a
cross-sectional analysis of data from 2,164 (1,329 women
165 In a
cross-sectional analysis of data from an ongoing, prospe
166 We performed a
cross-sectional analysis of data from overweight or obes
167 Cross-sectional analysis of data from participants in th
168 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of data from the 2002 Behaviora
169 We performed a
cross-sectional analysis of data from the community-base
170 Recently, a
cross-sectional analysis of data from the first National
171 Cross-sectional analysis of data from the National Comor
172 A
cross-sectional analysis of data from the National Free
173 This study is a
cross-sectional analysis of data obtained on 3121 male a
174 Retrospective,
cross-sectional analysis of death certificate data of re
175 In the
cross-sectional analysis of DFTJ cohort (15,575 particip
176 A retrospective
cross-sectional analysis of DNA from the epithelium and
177 ve analysis of prescriptions for 3 years and
cross-sectional analysis of efficacy and toxicity by pat
178 Cross-sectional analysis of electronic health record dat
179 Retrospective
cross-sectional analysis of emergency department visits
180 This was a
cross-sectional analysis of fasting serum leptin concent
181 We conducted a
cross-sectional analysis of four automated immunoassays
182 This was a
cross-sectional analysis of Google search volume index d
183 We performed a
cross-sectional analysis of HBV serology in 80 patients
184 We performed a
cross-sectional analysis of HERV-specific T cell respons
185 We conducted a
cross-sectional analysis of hypothyroidism, hyperthyroid
186 In this
cross-sectional analysis of individual patient interview
187 QoL outcomes in a longitudinal follow-up and
cross-sectional analysis of individuals included in the
188 Serial
cross-sectional analysis of Medicare beneficiaries aged
189 Serial
cross-sectional analysis of Medicare fee-for-service ben
190 In this
cross-sectional analysis of observational cohort study d
191 The study was a
cross-sectional analysis of participants enrolled in a m
192 In a
cross-sectional analysis of participants in the Baltimor
193 We conducted a
cross-sectional analysis of patients enrolled onto Natio
194 This
cross-sectional analysis of patients recruited into the
195 Multicenter, longitudinal,
cross-sectional analysis of patients undergoing PCI betw
196 e US Renal Data System database to perform a
cross-sectional analysis of patients who initiated HD be
197 The study was designed as a single-center
cross-sectional analysis of patients with JIA who were r
198 Additionally, in a
cross-sectional analysis of persons without diabetes, lo
199 Responses enabled a
cross-sectional analysis of physician demographics and t
200 In conclusion,
cross-sectional analysis of podocyte number in type 1 di
201 We performed a
cross-sectional analysis of pooled screening logs from 4
202 METHODS AND We conducted a
cross-sectional analysis of population-based household-
203 multisite, university medical center-based,
cross-sectional analysis of potential associations betwe
204 Cross-sectional analysis of preliminary and categorical
205 A
cross-sectional analysis of prevalence of hepatitis B vi
206 We performed a
cross-sectional analysis of race, socioeconomic status,
207 Cross-sectional analysis of routine primary care electro
208 We performed a
cross-sectional analysis of serum anti-chlamydial immuno
209 We performed
cross-sectional analysis of serum antibody titers in 546
210 Design, Settings, and Participants:
Cross-sectional analysis of serum DHA levels together wi
211 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of serum lipid concentrations a
212 A
cross-sectional analysis of survey and automated laborat
213 We performed a
cross-sectional analysis of survey data from the Alabama
214 A
cross-sectional analysis of symptomatic OA phenotypes wa
215 Cross-sectional analysis of TEE features correlated with
216 This study was a
cross-sectional analysis of TFAs, cis-MUFAs, SFAs, and P
217 Cross-sectional analysis of the aorta indicated that les
218 ntified by en face analysis of the aorta and
cross-sectional analysis of the aortic root.
219 This study is a
cross-sectional analysis of the Heart and Soul study, a
220 Cross-sectional analysis of the indirect pathway reveale
221 DESIGN, SETTING, AND PARTICIPANTS:
Cross-sectional analysis of the mean number of 9 serious
222 For the first time, a comprehensive
cross-sectional analysis of the morphologic changes in t
223 Cross-sectional analysis of the most recent National Hea
224 We performed a
cross-sectional analysis of the National Health and Nutr
225 In the present study, we performed a
cross-sectional analysis of the national registry of the
226 We conducted a
cross-sectional analysis of the Norwegian Mother and Chi
227 DESIGN, SETTING, AND PARTICIPANTS: A
cross-sectional analysis of the outcomes of a 2007 20% s
228 The study design was a
cross-sectional analysis of the Penn State Young Women's
229 We performed a
cross-sectional analysis of the prevalence of uncontroll
230 We conducted a serial,
cross-sectional analysis of the relationships between IP
231 Biomechanical
cross-sectional analysis of the Saint-Cesaire 1 femoral
232 We have performed a
cross-sectional analysis of the Treg cell signature in T
233 In the
cross-sectional analysis of this cohort study specific t
234 A retrospective,
cross-sectional analysis of VDBP levels used samples fro
235 The purpose of this
cross-sectional analysis of women aged 35-49 years from
236 This
cross-sectional analysis of women enrolled in a cohort s
237 In this
cross-sectional analysis,
patients were recruited from t
238 In a
cross-sectional analysis,
peripheral blood fibrocyte con
239 In the
cross-sectional analysis,
plasma viscosity (P=0.001), fi
240 Cross-sectional analysis:
presence of pulmonary hyperten
241 Our
cross-sectional analysis provided some evidence that lon
242 er controlling for major confounders, in the
cross-sectional analysis psoriasis was significantly ass
243 Cross-sectional analysis revealed lower lung function in
244 A
cross-sectional analysis revealed that openness and agre
245 he 12 most common variants (75% of alleles),
cross-sectional analysis showed that MPA infection was b
246 A
cross-sectional analysis that included 3,310 participant
247 In a
cross-sectional analysis,
the proportion of participants
248 The authors performed a
cross-sectional analysis to evaluate the association bet
249 We conducted a
cross-sectional analysis to evaluate the relationship be
250 We used standard time-series
cross-sectional analysis to investigate any association
251 Here, we performed a
cross-sectional analysis to study these associations amo
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 In a separate
cross-sectional analysis using biomarkers of dietary fac
258 Cross-sectional analysis using data from the 2013 nation
259 We first conducted a
cross-sectional analysis using multivariate regression t
260 Retrospective
cross-sectional analysis using publicly available FDA da
261 We performed a
cross-sectional analysis using the 2008 National Health
262 We performed a
cross-sectional analysis using the Avon Longitudinal Stu
263 We conducted a
cross-sectional analysis using the data collected from t
264 A
cross-sectional analysis using the Third National Health
265 We conducted a
cross-sectional analysis,
using 5 years of electronic da
266 A
cross-sectional analysis was conducted among youth aged
267 A
cross-sectional analysis was conducted by using data (n
268 A
cross-sectional analysis was conducted in 340 adults of
269 A
cross-sectional analysis was conducted in 877 HIV+ subje
270 A
cross-sectional analysis was conducted in men aged 18-70
271 A
cross-sectional analysis was conducted on patients seen
272 Design, Setting, and PARTICIPANTS: A
cross-sectional analysis was conducted using data from a
273 A repeated
cross-sectional analysis was conducted using data from t
274 A
cross-sectional analysis was conducted using data on adu
275 A retrospective
cross-sectional analysis was conducted using the 2008 Na
276 a were averaged for five time periods, and a
cross-sectional analysis was conducted.
277 This
cross-sectional analysis was nested within a National In
278 This
cross-sectional analysis was part of the Rotterdam Study
279 A
cross-sectional analysis was performed encompassing pati
280 A
cross-sectional analysis was performed in 494 patients (
281 A
cross-sectional analysis was performed of patients who w
282 A
cross-sectional analysis was performed on 220 of 239 sur
283 In substudy A, a
cross-sectional analysis was performed to determine the
284 relation between foot pain and disability, a
cross-sectional analysis was performed using baseline da
285 A
cross-sectional analysis was performed using data from t
286 A secondary
cross-sectional analysis was performed using the Healthc
287 A
cross-sectional analysis was performed with the use of d
288 Cross-sectional analysis was performed within the PESA (
289 In a
cross-sectional analysis,
we evaluated the expression of
290 In a secondary,
cross-sectional analysis,
we examined the relationship b
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 Participants in this
cross-sectional analysis were 269 men aged 47-83 years f
298 Data for this
cross-sectional analysis were obtained from NHANES 2005-
299 -like growth factor-1 at 6-9 years of age: a
cross-sectional analysis within the C8 Health Project.
300 In a
cross-sectional analysis within the Nurses' Health Study