1 From 101 patient records,
we extracted 15 preoperative features from clinical records a
2 We extracted 4 years of patient, provider, and activity data
3 We extracted 45 830 autoantigen-related abstracts and 94 313
4 Using database searches,
we extracted 66 distinct human RHOGAPs, from which 57 have a
5 d a regulatory network of genes and metabolites, from which
we extracted a core circuit containing HIF-1, AMPK, and ROS.
6 From the three infection scenarios,
we extracted a regulatory core of 41 factors, including TNF,
7 To demonstrate the value of the model,
we extracted a variety of substrate sequence-derived features
8 First,
we extracted and analyzed data implicating enriched signaling
9 We extracted and pooled adjusted risk ratios from prospective
10 th America, a 130,000-y-old steppe bison, Bison cf. priscus
We extracted and sequenced mitochondrial genomes from both th
11 We extracted continuous and categorical data and assessed for
12 We extracted crude allergen from jellyfish and evaluated alle
13 We extracted data and assessed evidence on each outcome as hi
14 We extracted data for patients with skin involvement at anti-
15 We extracted data from ClinicalStudyDataRequest.com, a large,
16 We extracted data from eligible studies for study characteris
17 We extracted data from GBD 2015 to assess mortality, causes o
18 We extracted data from published reports and contacted the or
19 We extracted data from published reports.
20 We extracted data from studies presenting pesticide suicide d
21 We extracted data from the ECDC database for all paediatric p
22 In this population-based study,
we extracted data from the Royal College of General Practitio
23 irus inactivation rates in wastewater and similar matrices,
we extracted data to construct a model predicting the T90 (1
24 We extracted data, in duplicate, related to items of selectio
25 We extracted demographics, clinical data, invasive hemodynami
26 We extracted DNA from archived blood smears and corresponding
27 g two different galectin-3 affinity purification processes,
we extracted four cell membrane glycoproteins, CD146/melanoma
28 We extracted from the published reports the primary efficacy
29 molecular dynamics simulations of Ascona B-DNA consortium,
we extracted hydrogen bonding, stacking and solvation energie
30 Using a predesigned data collection form,
we extracted information about study aim and design, data sou
31 ugh Weather Underground API and the Noom Coach application,
we extracted information on weather and body weight for each
32 to cytoskeleton-based regulation of motor protein motility,
we extracted intact microtubule networks from cells and track
33 Here,
we extracted MP-like particles larger than 149 mum from 17 sa
34 We extracted or calculated odds ratios (ORs) and 95% CIs for
35 We extracted oral antibiotics recommended for common outpatie
36 We extracted patient cohort data and collated it into a de-id
37 We extracted predictive features measuring affect, linguistic
38 We extracted prospectively acquired Australian surveillance d
39 We extracted prospectively acquired Australian surveillance d
40 We extracted proteins from wheat flour, udon and bread using
41 We extracted quantitative data and calculated means and perce
42 We extracted study characteristics, sampling, exposure, outco
43 stance within a specified region at any specific timepoint,
we extracted study level data and pooled prevalence estimates
44 We extracted study-level data with a standardised, piloted fo
45 Relying on the symmetry of the problem,
we extracted the 3-dimensional patterns from projective measu
46 DATA EXTRACTION:
We extracted the author, year of publication, study design, p
47 For each trial,
we extracted the hazard ratios (HRs) with 95% CIs for both ou
48 For patients with incident heart failure,
we extracted the most recent measurement of baseline characte
49 We extracted the polymeric coating using food simulants ethan
50 For this national retrospective cohort analysis,
we extracted UK National Health Service general practice data