1,720,976 research outputs found
sj-docx-1-ctj-10.1177_17407745231217299 – Supplemental material for A pilot recruitment strategy to enhance ethical and equitable access to Covid-19 pediatric vaccine trials
Supplemental material, sj-docx-1-ctj-10.1177_17407745231217299 for A pilot recruitment strategy to enhance ethical and equitable access to Covid-19 pediatric vaccine trials by William J Muller, Ravi Jhaveri, Taylor Heald-Sargent, Michelle L Macy, Nia Heard-Garris, Seema Shah and Erin Paquette in Clinical Trials</p
Management of Infants with FWLS in Early and Later periods.
<p>Comparing older infants (31–90d) vs. younger (≤30d):</p><p>fewer LP's performed (p<0.001);</p><p>no difference in UCx's performed (p = 0.54);</p><p>significantly fewer antibiotics given (p<0.001).</p><p>Comparing 2002–2006 vs. 1997–2001 overall (i.e. not broken down by age group):</p><p>significantly fewer LPs performed (p = 0.002);</p><p>no difference in UCxs performed (p = 0.08);</p><p>significantly less antibiotics given (p = 0.0004).</p><p>*Unknown if abx given to 1pt.</p><p>**Unknown if abx given to 2pts.</p>#<p>Unknown if abx given to 1pt.</p>∧<p>Unknown if abx given to 3pts.</p
Bacterial Pathogens by Species and Site of Infection.
a<p>One infant with <i>E coli</i> bacteremia had a concordant <i>E coli</i> UTI.</p>b<p>5 infants with <i>E coli</i> bactermias had concordant <i>E coli</i> UTIs.</p>c<p>One infant with <i>Enterobacter</i> UTI had a concomitant <i>Proteus</i> UTI.</p>d<p>One infant with <i>Enterobacter</i> meningitis also had a concordant <i>Enterobacter</i> bacteremia.</p>e<p>One infant with <i>E coli</i> UTI had a concomitant <i>Proteus</i> UTI.</p><p>In 2002–2006, Total Patients with SBI = 54; Actual number is 52 – this discrepancy is due to the fact that one patient had a Enterobacter and Proteus UTI and one patient had a Proteus and E coli UTI.</p
Analysis of Raw Data and Trends in SBIs among FWLS Infants, 1997–2006.
<p>A) Raw numbers of FWLS infants as well as SBIs and % SBI. B) Data in Figure 1a is graphed by %SBI on the y axis and year on the x axis (blue line). Also presented: overall mean %SBI (green line) and linear regression (red line). Statistical data on linear regression line is included.</p
Types of Serious Bacterial Infections in Early and Later periods.
a<p>one patient had UTI+Bacteremia.</p>b<p>five patients had UTI+Bacteremia.</p>c<p>one patient had Bacteremia+Meningitis.</p
Patient Demographics.
<p>*initial inclusion criteria so by definition encompasses all subjects.</p
Bayesian Analysis of SBIs among FWLS Infants, 1997–2001 and 2002–2006.
<p>The graph represents the probability of SBI based on data from the early and later periods of this study compared with the Rochester data as well as data on FWLS infants from Utah <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012448#pone.0012448-Dagan1" target="_blank">[5]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012448#pone.0012448-Byington1" target="_blank">[15]</a>. The probability curve from the data from the later period centers at approximately 14.4% whereas the other three curves all overlap between 5–10% probabilities.</p
SBIs by Age Group.
a<p>1 UTI was urosepsis.</p>b<p>3 UTIs were urosepsis.</p>c<p>2 UTIs were urosepsis, 1 meningitis had concomitant bacteremia.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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