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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2018.01574</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical Trials Focusing on Drug Control and Prevention of Ventilator-Associated Pneumonia: A Comprehensive Analysis of Trials Registered on <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Lingmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Su</surname> <given-names>Yanling</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Quan</surname> <given-names>Liuliu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Yonggang</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/591110/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Du</surname> <given-names>Liang</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Anesthesiology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>West China School of Medicine, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Unit of General Practice, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Periodical Press and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Xian-Tao Zeng, Wuhan University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Shiyi Cao, Huazhong University of Science and Technology, China; Hua Tao, Zhengzhou Second Hospital, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yonggang Zhang, <email>jebm_zhang@yahoo.com</email> Liang Du, <email>dulliang0606@vip.sina.com</email></corresp>
<fn fn-type="other" id="fn002"><p>This article was submitted to Respiratory Pharmacology, a section of the journal Frontiers in Pharmacology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>02</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>9</volume>
<elocation-id>1574</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>11</month>
<year>2018</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>12</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2019 Chen, Su, Quan, Zhang and Du.</copyright-statement>
<copyright-year>2019</copyright-year>
<copyright-holder>Chen, Su, Quan, Zhang and Du</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p><bold>Objective:</bold> Clinical trials have emerged as the main force in driving the development of medicine. However, little is known about the current status of clinical trials regarding drug control and prevention of ventilator-associated pneumonia (VAP). This study aimed at providing a comprehensive landscape of these trials on the basis of <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>.</p>
<p><bold>Methods:</bold> A cross-sectional, descriptive study of clinical trials on drug control and prevention of VAP which have been registered on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> up to 25<sup>th</sup> August 2018 was conducted.</p>
<p><bold>Results:</bold> A total of 109 eligible trials were identified. Trials were started from 1998 to 2018, and most trials focused on adult patients. More than half trials were completed, while only 11.9% trials had results available. Sample sizes were relatively large, with a median enrollment of 146. Universities were listed as the primary sponsor for 36.7% trials, industry for 28.4% trials and hospitals for 19.3% trials. Of the 109 VAP trials, 37 trials were from in Europe, 36 in North America and 27 in Asia. Among the 97 interventional trials, 32 were phase 3 trials, 21 were phase 4 trials, and 16 were phase 2 trials. Most interventional trials were randomized trials with a parallel assignment, and 57.7% trials were blinded. Of the 12 observational trials, 9 were cohort studies, and 10 trials were prosepctive studies. Drugs about oral care, preemptive antibiotics and probiotics were most investigated for prevention. A total of 61 trials investigated drugs for the treatment of VAP, mainly focused on antibiotics. A total of 36 kinds of antibiotics were investigated for monotherapy or combination therapy. Beta-lactams were most studied, followed by aminoglycosides and polypeptides.</p>
<p><bold>Conclusion:</bold> Most clinical trials registered on <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> about drugs for VAP were interventional trials with the purpose for treatment. A high proportion of interventional trials were randomized, parallel assigned and masked. Our analysis highlights the need for improvement in completeness of study results on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>.</p>
</abstract>
<kwd-group>
<kwd>ventilator associated pneumonia</kwd>
<kwd>ClinicalTrials.gov</kwd>
<kwd>drug control</kwd>
<kwd>drug prevention</kwd>
<kwd>interventional clinical trials</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="25"/>
<page-count count="6"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Ventilator-associated pneumonia (VAP) is defined as nosocomial pneumonia that occurs in mechanically ventilated patients at least 48 h after the initiation of mechanical ventilation (<xref ref-type="bibr" rid="B1">Bassetti et al., 2012</xref>). Although the incidence of VAP varies according to the population and the different criteria used, VAP remains the leading cause of nosocomial infection in the intensive care unit (<xref ref-type="bibr" rid="B8">Ego et al., 2015</xref>). VAP has been associated with worsened patient outcomes, increased hospitalization cost and higher mortality rates (<xref ref-type="bibr" rid="B22">Roberts et al., 2017</xref>). A number of evidence-based strategies have been used for the prevention and treatment of VAP (<xref ref-type="bibr" rid="B6">Davis, 2006</xref>; <xref ref-type="bibr" rid="B15">Liapikou et al., 2014</xref>). The primary treatment is the use of antimicrobial agents. With the increase of multidrug-resistant infections, it becomes more difficult to select appropriate antibiotics for patients with VAP (<xref ref-type="bibr" rid="B22">Roberts et al., 2017</xref>). More efforts are needed to develop more effective prevention and treatment strategies.</p>
<p>Clinical trials are the most effective ways for evaluating preventive and therapeutic strategies (<xref ref-type="bibr" rid="B10">Feizabadi et al., 2017</xref>; <xref ref-type="bibr" rid="B19">Ranawaka et al., 2018</xref>). <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> is a public trial registry provided by the U.S. National Library of Medicine and the U.S. Food and Drug Administration. In 2005, all International Committee of Medical Journal Editors (ICMJE) member journals released a statement that clinical trials must be publicly registered in trials&#x2019; registries before they were considered for publication (<xref ref-type="bibr" rid="B7">De Angelis et al., 2004</xref>). <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> registry which contains over 289,000 research studies conducted in 205 countries, is supposed to be the most comprehensive source for ongoing or completed clinical trials (<xref ref-type="bibr" rid="B4">Califf et al., 2012</xref>; <xref ref-type="bibr" rid="B11">Goswami et al., 2013</xref>; <xref ref-type="bibr" rid="B2">Bell and Tudur Smith, 2014</xref>). Evaluating this registered clinical trials will enable us to gain a deeper understanding of drug control and prevention of VAP. In this study, we aimed to examine the characteristics of registered clinical trials regarding drug control and prevention of VAP.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>A cross-sectional, descriptive study of clinical trials on drug control and prevention of VAP which had been registered on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> database was conducted. The trials were obtained from <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> using the advanced search function with the search term &#x201C;ventilator-associated pneumonia&#x201D; for &#x201C;condition&#x201D; on August 25<sup>th</sup>, 2018. All of these searched clinical trials were gone through to identified records of all pharmaceutical trials. We extracted all the following information: registered number, study type, start date, the status of trial, study result, study sample, participant age, primary sponsor, location, primary purpose, the phases of trial, allocation, intervention model, masking and intervention. All trials were then further subclassified according to study type. We used descriptive statistics to characterize trial categories. Frequencies and percentages were provided for categorical data. Medians and interquartile ranges were used for continuous variables.</p>
</sec>
<sec><title>Results</title>
<p>The initial search found 232 clinical trials registered on <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> up to August 25<sup>th</sup>, 2018. After carefully reviewing all the information, 123 trials were excluded, including 10 trials not about VAP and 113 not pharmaceutical trials in patients with VAP). Thus, a total of 109 registered trials were included.</p>
<sec><title>Basic Characteristics of Included Trials</title>
<p>Basic characteristics of the identified trials are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Among the 109 eligible trials, 97 (89.0%) were interventional trials, and the 12 (11.0%) were observational trials. The trials were started from 1998 to 2018, with maximum studies started from 2012 to 2016. The status of more than half trials were completed (<italic>n</italic> = 59, 54.1%), followed by recruiting (<italic>n</italic> = 15, 13.8%). While 13 trials were terminated and 2 trials were withdrawn. Only 11.9% trials had results available, and 24.7% trials had web links for the publications of results on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>. Trials about VAP were mainly focused on adult patients, with 88.1% trials included only adult patients. Samples sizes were relatively large, with 62.9% trials enrolling 100 or more participants. The median number of participants per trial was 146 (66&#x2013;270). Universities were listed as the primary sponsor for 40 (36.7%) trials, hospitals for 21 (19.3%) trials and industries for 31 (28.4%) trials. Of the 109 VAP trials, 37 (33.9%) trials were conducted in Europe, 36 (33.0%) in North America and 27 (24.8%) in Asia. 25.7% of trials were supported by industry funding.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of included trials.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<td valign="top" align="left"></td>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Study type</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Interventional</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">89.0</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Observational</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">11.0</td>
</tr>
<tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Prior to 2006</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">21.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">2006&#x2013;2009</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">18.3</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">2009&#x2013;2012</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13.8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">2012&#x2013;2016</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">28.4</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">2016&#x2013;2018</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">18.3</td>
</tr>
<tr>
<td valign="top" align="left">Status</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Completed</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">54.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Recruiting</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13.8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Active, not recruiting</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Not yet recruiting</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.7</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Enrolling by invitation</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Withdrawn</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Terminated</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11.9</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Unknown status</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12.8</td></tr>
<tr>
<td valign="top" align="left">Study results</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">No available results</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">88.1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Has available results</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11.9</td>
</tr>
<tr>
<td valign="top" align="left">Participant age (y)</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">&#x003C;18</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6.4</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">> = 18</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">88.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5.5</td></tr>
<tr>
<td valign="top" align="left">Enrollment</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">&#x003C; = 50</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">22.0</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">50&#x2013;100</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">15.6</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">100&#x2013;500</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">48.1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">> = 500</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">14.8</td>
</tr>
<tr>
<td valign="top" align="left">Sponsor</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">University</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">36.7</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">19.3</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">28.4</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">15.6</td></tr>
<tr>
<td valign="top" align="left">Location</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Europe</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">33.9</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">North America</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">33.0</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Asia</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">24.8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">South America</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5.5</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Oceanic</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Africa</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.9</td></tr>
<tr>
<td valign="top" align="left">Funded by</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">56.9</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">25.7</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other and Industry</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13.8</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other and NIH</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.8</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other and U.S. Fed</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.9</td></tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Characteristics of Study Design</title>
<p>Study design characteristics of interventional trials are displayed in <xref ref-type="table" rid="T2">Table 2</xref>. Of the 97 interventional trials, 32 (33.0%) were phase 3 trials, 21 (21.6%) were phase 4 trials, and 16 (16.5%) were phase 2 trials. Primary purposes of interventional trials were the treatment (63.9%) and prevention (33.0%). Most trials were randomized trials with the parallel assignment. Among the 97 interventional trials, 41 (42.3%) trials were without masking, 21 (21.6%) with quadruple masking, 15 (15.5%) with double masking, 12 (12.4%) with triple masking and 9 (9.3%) with single masking. Study design characteristics of observational trials are shown in <xref ref-type="table" rid="T3">Table 3</xref>. Of the 12 interventional trials, 9 (75.0%) were cohort studies, and 1 (8.3%) was a case-only study. Ten (83.3%) trials were prospective and 2 (16.7%) were retrospective.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Study design elements of interventional trials.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<td valign="top" align="left"></td>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Primary purpose</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Treatment</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">63.9</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Prevention</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">33.0</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.1</td></tr>
<tr>
<td valign="top" align="left">Phases</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phase 1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6.2</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phases 1/2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phase 2</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">16.5</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phases 2/3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6.2</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phase 3</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">33.0</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Phase 4</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">21.6</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Not applicable</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">14.4</td>
</tr>
<tr>
<td valign="top" align="left">Allocation</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Randomized</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">90.7</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Non-randomized</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.1</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Missing value</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6.2</td>
</tr>
<tr>
<td valign="top" align="left">Intervention model</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Parallel assignment</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">85.6</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Factorial assignment</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Crossover assignment</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.1</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Single group assignment</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">9.3</td>
</tr>
<tr>
<td valign="top" align="left">Masking</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">9.3</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Double</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">15.5</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Triple</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">12.4</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Quadruple</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">21.6</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">None</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">42.3</td></tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Study design elements of observational trials.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<td valign="top" align="left"></td>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Model</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Case-only</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8.3</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Cohort</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">75.0</td></tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Missing value</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">16.7</td>
</tr>
<tr>
<td valign="top" align="left">Time perspective</td>
<td valign="top" align="left"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">83.3</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Retrospective</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">16.7</td></tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Overview of Investigated Drugs</title>
<p>A total of 32 trials investigated the drugs for the prevention of VAP, mainly focused on oral care, preemptive antibiotics and probiotics. A summary of studied drugs for prevention is provided in <xref ref-type="table" rid="T4">Table 4</xref>. Most of the trials investigated the effect of chlorhexidine (<italic>n</italic> = 13) for oral care. Nine trials investigated preemptive antibiotics, and five studies investigated the effect of probiotics in the prophylaxis of VAP. Sixty nine trials investigated the drugs for the treatment of VAP, mainly focused on antibiotics. An overview of drugs for the treatment of VAP is shown in <xref ref-type="table" rid="T5">Table 5</xref>. A total of 36 kinds of antibiotics were investigated for monotherapy or combination therapy. Beta-lactams were most studied, followed by aminoglycosides and polypeptides. Doripenem (<italic>n</italic> = 7), colistin (<italic>n</italic> = 7), and vancomycin (<italic>n</italic> = 6) were the three most investigated drugs. Thirteen trials investigated the effect of aerosolized antibiotics, including colistin, amikacin, ceftazidime, tobramycin, ancomycin, and gentamicin and five trials investigated the duration of antibiotic treatment. Other treatments involving oral care, stress ulcer prophylaxis and simvastatin therapy were also investigated.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Overview of drugs for prevention.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Types</th>
<th valign="top" align="left">Name and number of investigated drug</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Oral care</td>
<td valign="top" align="left">Chlorhexidine (13)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Potassium permanganate (1), Povidone iodine (1)</td>
</tr>
<tr>
<td valign="top" align="left">Antibiotic</td>
<td valign="top" align="left">Amikacin (1), ASN100 (1), Azithromycin (1), Ceftriaxone (1), Colistin (1), KB001 (1), Iseganan hydrochloride (1), Sultamicillin (1), Neomycin/Colistin/Nystatin/Vancomycin (1)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="left"><italic>Lactobacillus</italic> (5)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Insulin (1), Atorvastatin (1), Pravastatin (1), Atropin (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Overview of drugs for treatment.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Types</th>
<td valign="top" align="left"></td>
<th valign="top" align="left">Name and number of investigated drug</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Antibiotic</td>
<td valign="top" align="left">Beta-lactams</td>
<td valign="top" align="left">Doripenem (7)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Ceftobiprole (4)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Meropenem (3)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Tazobactam (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Imipenem (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Piperacillin/Tazobactam (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Ceftolozane/Tazobactam (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Cefiderocol(S-649266)(2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Amoxicillin (1), Ceftazidime (1), Cefepime (1), Piperacillin (1), Cilastatin (1), Meropenem (1), Relebactam (MK-7655) (1), Amoxicillin/Clavulanate potassium (1), Aztreonam/Avibactam (1), Ceftazidime/Avibactam (1), Imipenem/Relebactam (1), Imipenem/Relebactam (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Aminoglycosides</td>
<td valign="top" align="left">Amikacin (3)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Gentamicin (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Tobramycin (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Polypeptides</td>
<td valign="top" align="left">Colistin (7)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Vancomycin (6)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Murepavadin (POL7080) (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Polymyxin B (1), Colimycin (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Others</td>
<td valign="top" align="left">Linezolid (5)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Quinolone (1), Clarithromycin (1), Iclaprim (1), Metronidazole (1), Cotrimoxazole (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Beta-lactams/aminoglycosides</td>
<td valign="top" align="left">Ceftazidime/Amikacin (1), Imipenem/Amikacin (1), Augmentin/Ceftriaxone/Cefotaxime/Netilmycin/Tobramycin (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Beta-lactams/polypeptides</td>
<td valign="top" align="left">Imipenem/Cilastatin (3)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Colistin/Imipenem (1), Polymyxin B/Doripenem (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Beta-lactams/others</td>
<td valign="top" align="left">Linezolid/Ceftazidime (3)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Others/others</td>
<td valign="top" align="left">Linezolid/Vancomycin (1)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="left"></td>
<td valign="top" align="left"><italic>Lactobacillus</italic> (2)</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<td valign="top" align="left">Chlorhexidine (1), Ranitidine (1), Sucralfate (1), Simvastatin (1), IC43 (1), KBPA-101 (1)</td>
</tr>
<tr>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec><title>Discussion</title>
<p>This study provides a descriptive assessment of trials registered on <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> about drug control and prevention of VAP. We found the vast majority were interventional trials. More than half trials were completed, however, only 11.9% trials had available results. Relatively high percentage (13.7%) of trials were terminated or withdrawn. Most trials registered were relatively large samples, with the median number of 146 participants per trial. We demonstrated that interventional VAP trials were predominantly late-phase studies with a generally high proportion of randomized and parallel assignment studies. Drugs about oral care, preemptive antibiotics and probiotics were investigated for prevention. Drugs for treatment were mainly focused on antibiotics, with beta-lactams being most studied.</p>
<p>It is reassuring that most interventional studies were randomized (90.7%), parallel assigned (85.6%), and masked (57.7%). A further 21.6% of registered trials were quadruple masking. These values are higher than which have been reported among interventional clinical trials registered in the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> database during 2007 to 2010 (<xref ref-type="bibr" rid="B4">Califf et al., 2012</xref>). Randomization is regarded as a hallmark of a high-quality clinical trial (<xref ref-type="bibr" rid="B16">Moher, 1998</xref>). Randomization and blinding can reduce bias and make evidence more reliable. It is important for researchers to adopt randomization and blinding when feasible. Owing to the limited information on <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>, we could not judge whether all the trials were appropriately designed. Research in children are often regarded as challenging due to scientific, ethical and practical difficulties (<xref ref-type="bibr" rid="B23">Steinbrook, 2002</xref>; <xref ref-type="bibr" rid="B18">Pasquali et al., 2012</xref>). All the interventional trials registered in <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> from 2007 to 2010, only 17% trials included children (<xref ref-type="bibr" rid="B4">Califf et al., 2012</xref>). Trials about VAP were also mainly focused on adult patients, only 11.9% trials included children. More work is needed to ensure that children are involved in clinical trials of drugs so that more information could be provided for prescribing medications in children.</p>
<p>More than half trials were completed, however, only 11.9% trials had results available on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>, and 24.7% trials had web links for publications of results on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>. Similar non-publication rates of completed studies have been reported for clinical trials on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> (<xref ref-type="bibr" rid="B20">Riveros et al., 2013</xref>; <xref ref-type="bibr" rid="B21">Roberto et al., 2018</xref>). Evidence indicates that positive trials were submitted more rapidly after completion and were published more rapidly after submission (<xref ref-type="bibr" rid="B12">Ioannidis, 1998</xref>). Studies sponsored by pharmaceutical companies are unlikely to publish negative results or reports not favoring the funding entities (<xref ref-type="bibr" rid="B14">Lexchin et al., 2003</xref>; <xref ref-type="bibr" rid="B3">Bourgeois et al., 2010</xref>). Consequently, there could be a potential for publication bias. The <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> registry was created to make research more transparent and reduce publication bias. Publication of study results should be encouraged for all trials. Efforts should be made to let results of all completed studies available in the ClinicaTrials.gov registry in no delay. The percentage of terminated or withdrawn trials in our study was relatively high (13.7%). <xref ref-type="bibr" rid="B4">Califf et al. (2012)</xref> found that the rate of interventional trials registered between 2007 and 2010 that was terminated or withdrawn trials was only 3.3% (<xref ref-type="bibr" rid="B4">Califf et al., 2012</xref>). We further explored and found that financial issues and lack of enrollment were the main reasons. Besides, one trial was stopped for futility after first scheduled analysis of recruitment of 300 participants (<xref ref-type="bibr" rid="B17">Papazian et al., 2013</xref>). One trial was stopped after a scheduled review of data showing lower cure rates and higher mortality rates in one of the treatment groups (<xref ref-type="bibr" rid="B13">Kollef et al., 2012</xref>).</p>
<p>Compared with trials for prevention, more trials were treatment-oriented, mainly focused on antibiotics. The right choice of the antimicrobial treatment is key to the prognosis of patients with VAP (<xref ref-type="bibr" rid="B5">Craven et al., 2014</xref>). The increase of multi-drug resistant organisms in HAP/VAP, especially gram-negative bacilli, make the selection of effective drugs more difficult (<xref ref-type="bibr" rid="B9">Falco et al., 2016</xref>). A total of 36 kinds of antibiotics were investigated for the treatment of VAP. However, most trials evaluated previously approved antibiotics, novel antimicrobial agents were less evaluated. Novel drugs for the treatment of VAP could improve the therapeutic options available and may offer a potential new opportunity to patients who have multi-drug resistant organisms. Thirteen studies investigated nebulized antibiotics for the treatment for VAP. Aerosolized antibiotics delivered through mechanical ventilation can achieve higher airway-drug concentrations with reduced systemic toxicity (<xref ref-type="bibr" rid="B24">Vincent et al., 2016</xref>). There could be a place for nebulized antibiotics in VAP.</p>
<p>Our study had several limitations. First, <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> does not include all clinical trials. However, as <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> accounts for more than 80% of all studies in the World Health Organization&#x2019;s International Clinical Trials Registry Platform (<xref ref-type="bibr" rid="B25">Zarin et al., 2007</xref>). So our analysis is broadly representative. Second, our study provides only an overview of the characteristics of the registered trials. The actual strengths and weaknesses of the clinical studies were not assessed. The validity of the data in <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> is dependent on the quality of information provided by the sponsors. The missing data in some fields may introduce some bias into the results. Thirdly, we did not examine whether the registered trials have yet published the data in peer-reviewed journals. The proportion of trials that was published in the peer-reviewed literature requires further study.</p>
<p>The current study provides an overview of registered trials about drug control and prevention of VAP. It appears that most registered clinical trials are interventional trials with the purpose for treatment. Interventional trials tend to have a good trial design, with a relatively high proportion of randomized, blind and parallel assignment studies. Our analysis highlights the need for improvement in completeness of study results on the <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>.</p>
</sec>
<sec><title>Author Contributions</title>
<p>YZ and LD provided the source for the study and edited the manuscript. LC and YS searched the data, extracted the data, assessed the data, analyzed the data, and drafted the manuscript. LQ analyzed the data.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was partly supported by a grant (2016SZ0016) from the Science and Technology Department of Sichuan Province. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</fn>
</fn-group>
<ref-list>
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