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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.872310</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association Between Beta-Carotene Supplementation and Mortality: A Systematic Review and Meta-Analysis of Randomized Controlled Trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Corbi</surname> <given-names>Graziamaria</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/88565/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ali</surname> <given-names>Sawan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Intrieri</surname> <given-names>Mariano</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Modaferri</surname> <given-names>Sergio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Calabrese</surname> <given-names>Vittorio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2178/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Davinelli</surname> <given-names>Sergio</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/358505/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Scapagnini</surname> <given-names>Giovanni</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/639886/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Translational Medical Sciences, University of Naples Federico II</institution>, <addr-line>Naples</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medicine and Health Sciences, University of Molise</institution>, <addr-line>Campobasso</addr-line>, <country>Italy</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biomedical and Biotechnological Sciences, University of Catania</institution>, <addr-line>Catania</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Claudio Tana, SS Annunziata Polyclinic Hospital, Chieti, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Virginia Boccardi, University of Perugia, Italy; You-lin Qiao, Chinese Academy of Medical Sciences and Peking Union Medical College, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Graziamaria Corbi, <email>graziamaria.corbi@unina.it</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Geriatric Medicine, a section of the journal Frontiers in Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>872310</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Corbi, Ali, Intrieri, Modaferri, Calabrese, Davinelli and Scapagnini.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Corbi, Ali, Intrieri, Modaferri, Calabrese, Davinelli and Scapagnini</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>
<sec>
<title>Background</title>
<p>Aging is a phenomenon universally involving all organisms, genetically determined, and epigenetically influenced by the environment. Numerous observational studies have shown the positive impact of non-pharmacological approaches started in younger age on chronic conditions affecting the elderly health and survival. This meta-analysis aimed to investigate the effect of beta-carotene on the total and cause-specific mortality as reported by randomized controlled trials (RCTs).</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched Medline, Scopus, Web of Science, and CENTRAL Cochrane from inception to September 2021. Studies were eligible if enrolled adults with any health condition, compared beta-carotene supplements at any dose with placebo or no intervention, provided information on deaths from any cause, and were RCTs, in English. The risk of bias was assessed by the Cochrane risk of bias tool and the GRADE. Risk ratios and their 95% confidence intervals were used and a <italic>P</italic>-value less than 0.05 was considered statistically significant.</p>
</sec>
<sec>
<title>Results</title>
<p>Among 3,942 articles searched, 44 articles on 31 RCTs, which included 216,734 total subjects, 108,622 in beta-carotene supplement groups, and 108,112 in the placebo or no-intervention groups, were involved in the final analyses. In a random-effects meta-analysis of all 31 trials, beta-carotene supplements were found to have no preventive effect on mortality (risk ratio 1.02, 95% confidence interval 0.98&#x2013;1.05, <italic>I</italic><sup>2</sup> = 42%). Further, the analysis showed no preventive effect on cancer, cardiovascular, cerebrovascular, and other mortality causes. Instead, beta-carotene supplementation significantly increased the risk of lung cancer mortality (RR 1.14, 95% CI 1.02, 1.27, <italic>I</italic><sup>2</sup> = 3%) but decreased the risk of human immunodeficiency virus-related mortality (RR 0.55, 95% CI 0.33, 0.92, <italic>I</italic><sup>2</sup> = 0).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>More studies should be performed to better define the role of beta-carotene on survival, to confirm or deny our results. Therefore, the possible beneficial or harmful effects of the beta-carotene supplementation on mortality must not be overstated.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>[<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259354">https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259354</ext-link>], identifier [CRD42021259354].</p>
</sec>
</abstract>
<kwd-group>
<kwd>mortality</kwd>
<kwd>meta-analysis</kwd>
<kwd>randomized controlled trials</kwd>
<kwd>aging</kwd>
<kwd>beta-carotene</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="85"/>
<page-count count="14"/>
<word-count count="8749"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Aging is a phenomenon universally involving all organisms, genetically determined, epigenetically influenced by the environment, and characterized by a progressive decline of physiological function, mainly the cardiovascular and metabolic profile, leading to death. Numerous observational studies have shown the positive impact of non-pharmacological approaches started in younger age on chronic conditions affecting the elderly health and survival (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Nutrition is a modifiable lifestyle factor that has been consistently associated with various aspects, including greater adherence to healthy dietary patterns, the intake of specific nutrients, or the consumption of specific foods (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Beta-carotene is a fat-soluble phytochemical found naturally in yellow/orange and green leafy plants, and also produced by some microorganisms (<xref ref-type="bibr" rid="B6">6</xref>). It is a single homolog of nearly 600 known carotenoids, several of which can be converted into vitamin A and occur as cis-trans forms at a varying ratio (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). As the main carotenoids, beta-carotene can be metabolized into bioactive retinol and other beta-carotene compounds essential for maintaining homeostasis and human physiology (<xref ref-type="bibr" rid="B9">9</xref>). Several studies reveal that the beta-carotene is a potent antioxidant, able to function against oxidative stress, maintaining health, and preventing diseases such as cancer and cardiovascular disease (CVD) (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Observational evidence also suggests that a high dietary intake of beta-carotene is associated with a reduced risk of cancer and CVD (<xref ref-type="bibr" rid="B16">16</xref>). Moreover, serum beta-carotene has also been inversely correlated with systemic inflammation and insulin resistance (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). However, there is also evidence that beta-carotene may possess a pro-oxidant property and act as a cocarcinogen (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Several studies, including meta-analyses, assessing the health effects of beta-carotene showed inconsistent results in humans. Although there have been mixed results for the risk of mortality from cancer (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>), several observational studies indicated that individuals with a high dietary intake or high circulatory levels of beta-carotene have a lower risk of all-cause (<xref ref-type="bibr" rid="B21">21</xref>) and CVD mortality (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). According to a meta-analysis of prospective studies, dietary or circulating beta-carotene has an inverse association with total mortality (<xref ref-type="bibr" rid="B25">25</xref>). In addition, in another recent dose-response meta-analysis of observational studies, higher circulating concentrations of beta-carotene were significantly associated with a lower risk of CVD mortality, whereas higher dietary intake of beta-carotene did not appear to have protective effects (<xref ref-type="bibr" rid="B26">26</xref>). As a supplement, the findings were inconsistent. Large controlled trials reported either no benefits or unpredicted adverse effects of beta-carotene supplementation, including increased lung cancer incidence and mortality among subjects exposed to asbestos and tobacco (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). In these treatment trials, beta-carotene also led to a small but significant increase in CVD and augmented total mortality. In 2012, a meta-analysis of RCTs was conducted by the Cochrane group. In trials with a low risk of bias, the results demonstrated that beta-carotene used singly or in combination with other antioxidants significantly increases overall mortality (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, the same review group performed a meta-regression analysis and reported significant effects of the dose of beta-carotene on mortality (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>There has been substantial attention to the health effects of beta-carotene, and a systematic review and meta-analysis of the association between beta-carotene supplementation and all-cause mortality in RCTs have already been reported (<xref ref-type="bibr" rid="B31">31</xref>). However, the last analyses referred to data available until 2012, and a better and more updated understanding of the beta-carotene-mortality association to examine cause-specific mortality is needed. Therefore, this meta-analysis investigates the association between beta-carotene supplementation and the risk of cause-specific mortality among population subgroups in RCTs, including the most recent results in the literature.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>This study was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 (<xref ref-type="bibr" rid="B33">33</xref>). The protocol for this review was registered on PROSPERO (CRD42021259354).</p>
<sec id="S2.SS1">
<title>Inclusion and Exclusion Criteria</title>
<p>Studies were eligible if they enrolled adults (age &#x2265; 18) with any health condition; if they compared beta-carotene supplements at any dose with placebo or no intervention, provided information on deaths from any cause; and if they were randomized controlled trials (RCTs). On the contrary, we excluded studies if all the participants received beta-carotene; if they included pregnant women or critically ill patients; and if they used beta-carotene analogs.</p>
</sec>
<sec id="S2.SS2">
<title>Search Strategy</title>
<p>We searched four databases: Medline, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL) of the Cochrane library, from inception to September 2021. We also checked the bibliography of identified studies and systematic reviews to increase the search for relevant articles. We applied English language restriction. No restriction on the type of publication was used. We selected the following keywords for the literature search: &#x201C;carotenoid&#x002A;,&#x201D; or &#x201C;beta-carotene,&#x201D; or &#x201C;b-carotene&#x201D; and &#x201C;mortality,&#x201D; or &#x201C;death.&#x201D; At the same time, similar queries were, respectively, used for controlled vocabulary search: &#x201C;beta-carotene&#x201D; [Mesh] AND &#x201C;mortality&#x201D; [Mesh], INDEX TERMS &#x201C;beta-carotene&#x201D; AND &#x201C;mortality.&#x201D;</p>
</sec>
<sec id="S2.SS3">
<title>Study Selection and Data Extraction</title>
<p>After removing duplicates with reference management software EndNote X9 (Clarivate Analytics, Philadelphia, PA, United States), Two raters screened the title/abstract of articles independently. Potentially eligible articles were then accessed in full. Divergences between raters on article eligibility were resolved by a third rater, who screened the studies independently (100% consensus on article eligibility was reached). A data extraction spreadsheet was then developed, and the information from the included studies was extracted and tabulated. When RCTs had more than two arms, data from the separate treatment arms were pooled. The following data were extracted: study name (along with the year of publication), country, study characteristics (participant number, age, gender, health status, and study design), treatment duration/follow-up period, intervention and dosage, mortality causes, and the amount of death/number of participants in each intervention group.</p>
</sec>
<sec id="S2.SS4">
<title>Study Quality Assessment</title>
<p>The quality of all included trials was assessed using the Cochrane Collaboration risk of bias tool (<xref ref-type="bibr" rid="B34">34</xref>). The Cochrane risk of bias tool is made up of 7 components: (1) sequence generation, (2) allocation sequence concealment, (3) blinding of participants and personnel, (4) blinding of outcome assessment, (5) incomplete outcome data, (6) selective outcome reporting, and (7) other bias. Moreover, we also performed the GRADEpro GDT (GRADEpro Guideline Development Tool Software (<xref ref-type="bibr" rid="B35">35</xref>) assessment for the quality of evidence.</p>
</sec>
<sec id="S2.SS5">
<title>Statistical Analyses</title>
<p>We performed statistical analyses using RevMan (version 5.3.3; The Cochrane Collaboration) and the meta package in R Software, version 4.0.3 (R Foundation for Statistical Computing, Vienna, Austria), and the interface R-Studio version 1.4.1717 (R studio, PBC, Boston, MA, United States). We used risk ratios and their associated 95% confidence intervals to assess outcomes and considered a <italic>P</italic>-value less than 0.05 to be statistically significant. We assessed heterogeneity using the <italic>I</italic><sup>2</sup>-test (<xref ref-type="bibr" rid="B34">34</xref>). We used random-effects models for our analysis and the possibility of small study effects was assessed qualitatively by a visual estimate of the funnel plot and quantitatively by calculation of the Egger and Begg&#x2019;s tests (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>We evaluated the effects of beta-carotene supplements according to mortality cause (cancer mortality, CVD mortality, cerebrovascular disease mortality, and mortality from other causes). Besides, we performed several additional subgroup analyses to test interactions according to: the number of participants (&#x2265;1,000 and &#x003C;1,000, by using the median value for stratification), the number of events (&#x2265;100 and &#x003C;100 by using the median value for stratification), the gender (men, women, and both), the mean age (&#x2265;65 and &#x003C; 65 years to evaluate the aging effect), the beta-carotene dose (&#x003E;20 and &#x003C;20 mg/day by using the median value for stratification), the length of follow-up (at least four years and less than four years, by using the median value for stratification), the intervention (beta-carotene singly and beta-carotene combined with vitamins, minerals, or other interventions), the participant health status (healthy and unhealthy), and the control group (placebo and no intervention) in all the included trials. Moreover, a subgroup analysis was also performed by country (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figure 7</xref>).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Study Selection</title>
<p>We initially identified 3,942 records after searching databases and relevant bibliographies. After excluding 1,663 duplicated articles and 2,145 articles that did not satisfy the selection criteria, we reviewed the full texts of 134 articles and included 44 articles (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>) on 31 RCTs in the final analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Search strategy and final included and excluded studies by the PRISMA flowchart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-872310-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Study Characteristics</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> summarizes the characteristics of included trials, and <xref ref-type="table" rid="T2">Table 2</xref> gives details of those trials. The final analysis comprised 216,734 participants, 108,622 in the beta-carotene supplement group and 108,112 in the placebo or no intervention groups, from 31 RCTs reported in 44 articles. In the studies in which age and gender were reported, the median age was 60.2 years (age range 32&#x2013;85 years), and 49% of the subjects were women. The median treatment and follow-up periods were 3 and 4.6 years, respectively. There were 45,907 deaths, of which 4,609 deaths were from cancer, 3,796 deaths were from CVD, and 956 deaths were from cerebrovascular disease.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Summary characteristics of included studies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Characteristics</td>
<td valign="top" align="center">No. of trials (No. of participants)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Eligible studies</bold></td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Total No. of trials (No. of participants)<break/> Median (IQR) follow-up (years)<break/> Follow-up at least 4 years<break/> Median (IQR) No. of participants<break/> Total No. of deaths<break/> Median (IQR)% women<break/> Median (IQR) age (years)</td>
<td valign="top" align="center">31 (216,734)<break/> 4.6 (1.7&#x2013;8.8)<break/> 16 (171,578)<break/> 382 (85, 5,883)<break/> 45,907<break/> 49 (15.45&#x2013;58.44)<break/> 60.2 (54.2&#x2013;67.7)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Country</bold></td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">American<break/> European<break/> Asian-pacific</td>
<td valign="top" align="center">17 (119,297)<break/> 9 (63,937)<break/> 5 (33,500)</td>
</tr>
</tbody>
</table></table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Data summary of randomized controlled trials assessing the effects of beta-carotene supplementation on mortality (<italic>n</italic> = 44).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">References</td>
<td valign="top" align="left">Country</td>
<td valign="top" align="left">Study characteristics</td>
<td valign="top" align="center">Treatment duration/follow-up<break/> period (median)</td>
<td valign="top" align="left">Intervention (dose)</td>
<td valign="top" align="center">Mortality cause</td>
<td valign="top" align="center">Intervention<break/> (death/total)</td>
<td valign="top" align="center">Control<break/> (death/total)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Albanes et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Colorectal cancer</td>
<td valign="top" align="center">23/14,560</td>
<td valign="top" align="center">23/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Austin et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left"><italic>N</italic> = 331 (median age 39.5 y)<break/> Women: 10.5%<break/> Condition: acquired immunodeficiency syndrome<break/> Design: Parallel</td>
<td valign="top" align="center">13/13 m</td>
<td valign="top" align="left">Beta-carotene (72 mg/d) + multivitamins and trace elements<break/> vs. beta-carotene placebo<break/></td>
<td valign="top" align="center">HIV-related mortality</td>
<td valign="top" align="center">13/165<break/></td>
<td valign="top" align="center">23/166</td>
</tr>
<tr>
<td valign="top" align="left">Bairati et al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left"><italic>N</italic> = 156 (mean age 62.5 y)<break/> Women: 21%<break/> Condition: stage I or II head and neck cancer<break/> Design: Parallel</td>
<td valign="top" align="center">3.1/6.5 y</td>
<td valign="top" align="left">Beta-carotene (30 mg/d) + alpha-tocopherol (400 UI/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">37/79<break/></td>
<td valign="top" align="center">30/77</td>
</tr>
<tr>
<td valign="top" align="left">Blot et al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left"><italic>N</italic> = 29,450 (age range 40&#x2013;69 y)<break/> Women: 55%<break/> Health status: at risk of esophageal/gastric cardia cancer<break/> Design: 2.2.2.2 factorial</td>
<td valign="top" align="center">5.25/5.25 y<break/></td>
<td valign="top" align="left">Beta-carotene (15 mg/d) + vitamin E and selenium + micronutrients<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Cancer<break/> Cerebrovascular disease</td>
<td valign="top" align="center">369/14,729<break/> 249/14,729</td>
<td valign="top" align="center">423/14,721<break/> 274/14,721</td>
</tr>
<tr>
<td valign="top" align="left">Brown et al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 80 (mean age 53 y)<break/> Women: 13%<break/> Health status: coronary disease<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">3/3 y</td>
<td valign="top" align="left">Antioxidant vitamins (beta-carotene 25 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Cardiovascular cause</td>
<td valign="top" align="center">11/42<break/> 3/42</td>
<td valign="top" align="center">12/38<break/> 7/38</td>
</tr>
<tr>
<td valign="top" align="left">Chew et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 4,757 (median age 69 y)<break/> Women: 56%<break/> Health status: age-related eye disease<break/> Designs: 2.2 factorial</td>
<td valign="top" align="center">6.3/10 y</td>
<td valign="top" align="left">Beta-carotene (15 mg/d) + vitamin C (500 mg/d) + vitamin E (400 IU/d) &#x00B1; zinc (80 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">439/2,370</td>
<td valign="top" align="center">427/2,387</td>
</tr>
<tr>
<td valign="top" align="left">Chylack et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 297 (mean age 68 y)<break/> Women: 59%<break/> Condition: age-related cataract<break/> Design: Parallel</td>
<td valign="top" align="center">3/3 y</td>
<td valign="top" align="left">Antioxidant micronutrients (beta-carotene 18 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">9/149<break/></td>
<td valign="top" align="center">3/148<break/></td>
</tr>
<tr>
<td valign="top" align="left">Garbagnati et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">N = 34 (mean age 66.75 y)<break/> Women: 44.5%<break/> Condition: stroke<break/> Designs: 2.2 factorial</td>
<td valign="top" align="center">1/1 y</td>
<td valign="top" align="left">Antioxidants (beta-carotene 19 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">Cardiovascular disease</td>
<td valign="top" align="center">1/16</td>
<td valign="top" align="center">3/18</td>
</tr>
<tr>
<td valign="top" align="left">Gaziano et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 14,641 (mean age 64.3 y)<break/> Women: 0%<break/> Health status: General population<break/> Design: 2.2.2.2 factorial</td>
<td valign="top" align="center">11.2/11.2 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/alternate days) + multivitamins<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause<break/> Cancer</td>
<td valign="top" align="center">1,345/7,317<break/> 403/7,317</td>
<td valign="top" align="center">1,412/7,324<break/> 456/7,324</td>
</tr>
<tr>
<td valign="top" align="left">Girodon et al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left"><italic>N</italic> = 362 (mean age 83.9 y)<break/> Women: 74.58%<break/> Condition: Institutionalized elderly<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">2/2 y</td>
<td valign="top" align="left">Vitamins (beta-carotene 6 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">45/180</td>
<td valign="top" align="center">51/182</td>
</tr>
<tr>
<td valign="top" align="left">Goodman et al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 18,314 (median age 58 y)<break/> Women: 34%<break/> Health status: Smoker or asbestos exposed<break/> Designs: Parallel</td>
<td valign="top" align="center">4/10 y</td>
<td valign="top" align="left">Beta-carotene (30 mg/d) + retinyl palmitate (25,000 IU/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Lung cancer<break/> Cardiovascular disease</td>
<td valign="top" align="center">1,855/9,420<break/> 294/9,420<break/> 354/9,420</td>
<td valign="top" align="center">1,509/8,894<break/> 227/8,894<break/> 319/8,894</td>
</tr>
<tr>
<td valign="top" align="left">Graat et al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left"><italic>N</italic> = 316 (mean age 73.2 y)<break/> Women: 48.5%<break/> Condition: non-institutionalized elderly<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">15/15 m</td>
<td valign="top" align="left">Multivitamin-mineral capsule (beta-carotene 2.4 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">0/163</td>
<td valign="top" align="center">5/153</td>
</tr>
<tr>
<td valign="top" align="left">Greenberg et al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 1,805 (mean age 63.2 y)<break/> Women: 30%<break/> Health condition: Basal cell or squamous cell carcinoma<break/> Designs: Parallel</td>
<td valign="top" align="center">4.3/8.2 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Cardiovascular disease<break/> Cancer</td>
<td valign="top" align="center">146/913<break/> 68/913<break/> 38/913</td>
<td valign="top" align="center">139/892<break/> 59/892<break/> 44/892</td>
</tr>
<tr>
<td valign="top" align="left">Grieger et al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left"><italic>N</italic> = 115<break/> Women: 52%<break/> Health condition: aged care residents<break/> Designs: Parallel</td>
<td valign="top" align="center">6/6 m</td>
<td valign="top" align="left">Multivitamin (beta-carotene 3 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">3/58</td>
<td valign="top" align="center">4/57</td>
</tr>
<tr>
<td valign="top" align="left">Heart Protection Study Collaborative Group (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="left"><italic>N</italic> = 20,536 (age range 40&#x2013;80 y)<break/> Women: 24.74%<break/> Health status: coronary<break/> disease, occlusive arterial disease, or diabetes<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">5/5 y</td>
<td valign="top" align="left">Antioxidant vitamins (20 mg/d beta-carotene)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Coronary heart disease<break/> Stroke<break/></td>
<td valign="top" align="center">1,446/10,269<break/> 664/10,269<break/> 108/10,269</td>
<td valign="top" align="center">1,389/10,267<break/> 630/10,267<break/> 107/10,267</td>
</tr>
<tr>
<td valign="top" align="left">Alpha-Tocopherol, Beta Carotene Cancer Prevention Study Group (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Cancer<break/> Lung cancer</td>
<td valign="top" align="center">582/14,560<break/> 302/14,560</td>
<td valign="top" align="center">534/14,573<break/> 262/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Heinonen et al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Prostate cancer</td>
<td valign="top" align="center">33/14,560</td>
<td valign="top" align="center">29/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Hennekens et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 22,071 (mean age 53 y)<break/> Women: 0%<break/> Health status: General population<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">12/12 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/alternate days) + aspirin<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause<break/> Cardiovascular disease<break/> Malignant neoplasm<break/></td>
<td valign="top" align="center">979/11,036<break/> 338/11,036<break/> 386/11,036</td>
<td valign="top" align="center">968/11,035<break/> 313/11,035<break/> 380/11,035</td>
</tr>
<tr>
<td valign="top" align="left">Hercberg (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left"><italic>N</italic> = 13,017 (mean age 49 y)<break/> Women: 60.5%<break/> Health status: General population<break/> Designs: Parallel</td>
<td valign="top" align="center">7.5/12.5 y</td>
<td valign="top" align="left">Antioxidant vitamins and minerals (beta-carotene 6 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">156/6,481</td>
<td valign="top" align="center">178/6,536</td>
</tr>
<tr>
<td valign="top" align="left">Jiamton et al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="left"><italic>N</italic> = 481 (mean age 32 y)<break/> Women: 61%<break/> Health status: HIV-infected<break/> Designs: Parallel</td>
<td valign="top" align="center">48/48 w</td>
<td valign="top" align="left">Immunace Micronutrient supplement (beta-carotene 6 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">HIV-related mortality</td>
<td valign="top" align="center">8/242</td>
<td valign="top" align="center">15/239</td>
</tr>
<tr>
<td valign="top" align="left">Kataja-Tuomola et al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 1,700 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day) with diabetes<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Diabetes-related mortality</td>
<td valign="top" align="center">168/877</td>
<td valign="top" align="center">150/823</td>
</tr>
<tr>
<td valign="top" align="left">Lai et al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/24 y</td>
<td valign="top" align="left">beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Chronic liver disease</td>
<td valign="top" align="center">121/14,560</td>
<td valign="top" align="center">116/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Lamas et al. (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 1,708 (median age 65 y)<break/> Women: 18%<break/> Health status: Post myocardial<break/> infarction<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">31/55 m</td>
<td valign="top" align="left">Multivitamin and multimineral mixture (beta-carotene 25,000 IU/d) + IV chelation infusions<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Cardiovascular disease</td>
<td valign="top" align="center">87/853<break/> 45/853</td>
<td valign="top" align="center">93/855<break/> 56/855</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 39,876 (mean age 54.6 y)<break/> Women: 100%<break/> Health status: Healthy<break/> Design: 2.2.2 factorial</td>
<td valign="top" align="center">2.1/4.1 y</td>
<td valign="top" align="left">Beta-carotene (55 mg on alternate days) + aspirin and vitamin E<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause<break/> Cardiovascular disease<break/> Cancer</td>
<td valign="top" align="center">59/19,939<break/> 14/19,939<break/> 31/19,939</td>
<td valign="top" align="center">55/19,937<break/> 12/19,937<break/> 28/19,937</td>
</tr>
<tr>
<td valign="top" align="left">Lepp&#x00E4;l&#x00E4; et al. (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 28,519 (mean age 57.2 y)<break/> Women: 0%<break/> Health status: Stroke-free smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Stroke</td>
<td valign="top" align="center">82/14,246</td>
<td valign="top" align="center">78/14,273</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left"><italic>N</italic> = 3,318 (mean age 54 y)<break/> Women: 56%<break/> Health status: Esophageal dysplasia<break/> Design: Parallel</td>
<td valign="top" align="center">6/6 y</td>
<td valign="top" align="left">Vitamins and minerals (15 mg/d beta-carotene)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause<break/> Cancer<break/> Cerebrovascular disease</td>
<td valign="top" align="center">157/1,657<break/> 87/1,657<break/> 22/1,657</td>
<td valign="top" align="center">167/1,661<break/> 89/1,661<break/> 35/1,661</td>
</tr>
<tr>
<td valign="top" align="left">Lin et al. (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 8,171 (mean age 60.4 y)<break/> Women: 100%<break/> Health status: High risk of cardiovascular disease<break/> Design: 2.2.2.2 factorial</td>
<td valign="top" align="center">9.4/9.4 y</td>
<td valign="top" align="left">Beta-carotene (50 mg every other day) + antioxidants<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Cancer</td>
<td valign="top" align="center">80/4,084</td>
<td valign="top" align="center">96/4,087</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left"><italic>N</italic> = 763 (mean age 85 y)<break/> Women: 70%<break/> Health status: Institutionalized elderly<break/> Design: Parallel</td>
<td valign="top" align="center">19/19 m</td>
<td valign="top" align="left">Multivitamin and multimineral (beta-carotene 16 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">96/379</td>
<td valign="top" align="center">97/384</td>
</tr>
<tr>
<td valign="top" align="left">Margalit et al. (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 383 (median age 73 y)<break/> Women: 0%<break/> Health status: Prostate cancer<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">12/22.5 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/alternate days) &#x00B1; aspirin<break/> vs. placebo</td>
<td valign="top" align="center">Prostate cancer<break/></td>
<td valign="top" align="center">20/192<break/></td>
<td valign="top" align="center">25/191</td>
</tr>
<tr>
<td valign="top" align="left">Mayne et al. (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="left"><italic>N</italic> = 264 (mean age 68 y)<break/> Women: 19%<break/> Health status: Head and neck cancer<break/> Design: Parallel</td>
<td valign="top" align="center">4.25/4.25 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">21/135</td>
<td valign="top" align="center">26/129</td>
</tr>
<tr>
<td valign="top" align="left">Papadimitrakopoulou et al. (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 84 (mean age 56 y)<break/> Women: 48.9%<break/> Health status: Oral premalignancy<break/> Design: Parallel</td>
<td valign="top" align="center">3/5 y</td>
<td valign="top" align="left">Beta-carotene (50 mg/d) + retinyle palmitate<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">1/47</td>
<td valign="top" align="center">0/37</td>
</tr>
<tr>
<td valign="top" align="left">Age-Related Eye Disease Study 2 Research Group (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 4,203 (median age 74 y)<break/> Women: 56.75%<break/> Health status: AMD<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">5/5 y</td>
<td valign="top" align="left">Macular xanthophylls (10 mg/d lutein + 2 mg/d zeaxanthin) + omega-3 fatty acids (350 mg/d DHA + 650 mg/d EPA)<break/> vs. macular xanthophylls placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">746/2,123 <italic><sup>PC</sup></italic></td>
<td valign="top" align="center">727/2,080 <italic><sup>PC</sup></italic><break/></td>
</tr>
<tr>
<td valign="top" align="left">Pathak et al. (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left"><italic>N</italic> = 136 (median age 56 y)<break/> Women: 14.6%<break/> Health status: Advanced<break/> non-small cell lung cancer<break/> Design: Parallel</td>
<td valign="top" align="center">2/2 y</td>
<td valign="top" align="left">Antioxidants (60 mg/d beta-carotene) + chemotherapy<break/> vs. chemotherapy</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">54/64</td>
<td valign="top" align="center">64/72</td>
</tr>
<tr>
<td valign="top" align="left">Plummer et al. (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Venezuela</td>
<td valign="top" align="left"><italic>N</italic> = 1,980 (mean age 35&#x2013;69 y)<break/> Women: 52.7%<break/> Condition: Precancerous gastric lesions<break/> Design: Parallel</td>
<td valign="top" align="center">3/3 y</td>
<td valign="top" align="left">Antioxidant vitamins (beta-carotene 18 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">16/990</td>
<td valign="top" align="center">11/990</td>
</tr>
<tr>
<td valign="top" align="left">Prince et al. (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="left"><italic>N</italic> = 61 (mean age 58 y)<break/> Women: 92%<break/> Health condition: primary<break/> biliary cirrhosis<break/> Design: Cross-over</td>
<td valign="top" align="center">12/12 w</td>
<td valign="top" align="left">Antioxidant supplementation (beta-carotene 3 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">Ischemic heart disease</td>
<td valign="top" align="center">1/29</td>
<td valign="top" align="center">0/32</td>
</tr>
<tr>
<td valign="top" align="left">Qu et al. (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left"><italic>N</italic> = 29,450 (age range 40&#x2013;69 y)<break/> Women: 55%<break/> Health status: At risk of esophageal or stomach cancer<break/> Design: 2<sup>4</sup> partial factorials</td>
<td valign="top" align="center">5.25/15.2 y</td>
<td valign="top" align="left">Beta-carotene (15 mg/d) + vitamin E and selenium<break/> vs. placebo</td>
<td valign="top" align="center">Liver cancer</td>
<td valign="top" align="center">68/14,729</td>
<td valign="top" align="center">83/14,721</td>
</tr>
<tr>
<td valign="top" align="left">Rautalahti et al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 75.7 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Pancreatic carcinoma</td>
<td valign="top" align="center">35/14,560</td>
<td valign="top" align="center">48/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Richer et al. (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left"><italic>N</italic> = 60 (mean age 75.3 y)<break/> Women: 5%<break/> Condition: Atrophic age-related macular degeneration<break/> Design: Parallel</td>
<td valign="top" align="center">12/12 m</td>
<td valign="top" align="left">Lutein (10 mg/d)<break/> vs. placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">1/29</td>
<td valign="top" align="center">2/31</td>
</tr>
<tr>
<td valign="top" align="left">Toma et al. (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left"><italic>N</italic> = 214 (median age 60.5 y)<break/> Women: 9.8%<break/> Health condition: Stage I-II head and neck cancer<break/> Design: Parallel</td>
<td valign="top" align="center">3/4.9 y</td>
<td valign="top" align="left">Beta-carotene (75 mg/d)<break/> vs. no treatment</td>
<td valign="top" align="center">All-cause<break/> Head and neck tumor</td>
<td valign="top" align="center">9/104<break/> 5/104</td>
<td valign="top" align="center">15/110<break/> 6/110</td>
</tr>
<tr>
<td valign="top" align="left">T&#x00F6;rnwall et al. (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.7 y)<break/> Women: 0%<break/> Health status: Smokers at risk of major coronary event<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Coronary heart disease</td>
<td valign="top" align="center">456/14,560</td>
<td valign="top" align="center">449/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Virtamo et al. (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.7 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Urothelial cancer<break/> Renal cell cancer<break/></td>
<td valign="top" align="center">13/14,560<break/> 16/14,560</td>
<td valign="top" align="center">11/14,573<break/> 25/14,573</td>
</tr>
<tr>
<td valign="top" align="left">Virtamo et al. (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.7 y)<break/> Women: 0%<break/> Health status: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/14.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">5,555/14,560</td>
<td valign="top" align="center">5,276/14,573<break/></td>
</tr>
<tr>
<td valign="top" align="left">Wang et al. (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left"><italic>N</italic> = 29,450 (median age 52 y)<break/> Women: 55%<break/> Health status: At risk of esophageal/gastric cardia cancer<break/> Design: 2.2.2.2 factorial</td>
<td valign="top" align="center">5.25/30 y</td>
<td valign="top" align="left">Beta-carotene (15 mg/d) + vitamin E and selenium + micronutrients<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">All-cause</td>
<td valign="top" align="center">9,910/14,729</td>
<td valign="top" align="center">9,824/14,721</td>
</tr>
<tr>
<td valign="top" align="left">Wright et al. (<xref ref-type="bibr" rid="B77">77</xref>)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left"><italic>N</italic> = 29,133 (mean age 57.7 y)<break/> Women: 0%<break/> Health condition: Smokers (5 + cigarettes/day)<break/> Design: 2.2 factorial</td>
<td valign="top" align="center">6.1/6.1 y</td>
<td valign="top" align="left">Beta-carotene (20 mg/d) + alpha-tocopherol (50 mg/d)<break/> vs. beta-carotene placebo</td>
<td valign="top" align="center">Oral/pharyngeal cancer<break/> Esophageal cancer<break/> laryngeal cancer</td>
<td valign="top" align="center">10/14,560<break/> 6/14,560<break/> 5/14,560</td>
<td valign="top" align="center">7/14,573<break/> 9/14,573<break/> 5/14,573</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>ATBC, Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study; NIT1, Nutrition Intervention Trial (NIT); The General Population Trial; HATS, The HDL-Atherosclerosis Treatment Study; AREDS, Age Related Eye Disease Study; REACT, The Roche European American Cataract Trial; PHSII, Physicians Health Study; CARET, The Beta-Carotene and Retinol Efficacy Trial; SCPS, Skin Cancer Prevention Study; HPS, Heart Protection Study; PHS, Physicians Health Study; SUVIMAX, The Supplementation en Vitamines et Mineraux Antioxydants; WHS, Women&#x2019;s Health Study; AREDS2, Age-Related Eye Disease Study 2; PC, personal contact; LAST, Lutein Antioxidant Supplementation Trial.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The selected articles were published from 1993 through 2018, spanning 25 years. The countries in which the studies were conducted were as follows: United States (<italic>n</italic> = 13), Canada (<italic>n</italic> = 3), United Kingdom (<italic>n</italic> = 3), China (<italic>n</italic> = 2), France (<italic>n</italic> = 2), Italy (<italic>n</italic> = 2), Finland (<italic>n</italic> = 1), Netherlands (<italic>n</italic> = 1), Venezuela (<italic>n</italic> = 1), India (<italic>n</italic> = 1), Thailand (<italic>n</italic> = 1), and Australia (<italic>n</italic> = 1). The studies included healthy subjects (general population, physicians, and nurses); patients with oral premalignancy, skin, lung, and head and neck cancer; adults with underlying CVD or cerebrovascular diseases, and acquired immunodeficiency syndrome (AIDS), primary biliary cirrhosis, and age-related eye diseases; persons at risk of esophageal/gastric cardia cancer; smokers or asbestos-industry workers; and institutionalized elderlies.</p>
<p>Among the 31 trials, 30 had a placebo group, and 1 had a no-intervention group as the control (<xref ref-type="bibr" rid="B77">77</xref>). Further, 16 trials used the parallel design, 14 used the factorial design, and one study used a cross-over design (<xref ref-type="bibr" rid="B67">67</xref>). The following 3 trials were reported in 16 articles: the Alpha-Tocopherol Beta-Carotene Prevention Study (<italic>n</italic> = 11), Nutrition Intervention Trial; The General Population Trial (<italic>n</italic> = 3), and the Physicians&#x2019; Health Study (<italic>n</italic> = 2).</p>
</sec>
<sec id="S3.SS3">
<title>Quality of the Included Trials</title>
<p><xref ref-type="supplementary-material" rid="FS1">Supplementary Figures 1</xref>, <xref ref-type="supplementary-material" rid="FS2">2</xref> show the quality of the included trials. Twenty-four trials were classified as having a low risk of bias. The remaining 4 trials had one or more inadequate components (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B76">76</xref>), and 1 trial had an unclear risk of bias (<xref ref-type="bibr" rid="B63">63</xref>). <xref ref-type="supplementary-material" rid="FS3">Supplementary Figures 3</xref>, <xref ref-type="supplementary-material" rid="FS4">4</xref> show the GRADE assessment of the quality. The overall results showed a high quality of the studies.</p>
</sec>
<sec id="S3.SS4">
<title>Meta-Analysis of the Effect of Beta-Carotene Supplements on Mortality Risk</title>
<p>Overall, in a random-effects model meta-analysis of all the 31 trials (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>), there was no statistically significant difference in total mortality between the beta-carotene supplementation group and the control group (RR 1.02, 95% CI 0.98&#x2013;1.05, <italic>I</italic><sup>2</sup> = 42%; <xref ref-type="fig" rid="F2">Figure 2</xref>). Funnel plot analysis showed no asymmetry (<xref ref-type="fig" rid="F3">Figure 3</xref>); additionally, the Egger test (<italic>P</italic> = 0.25) and Begg&#x2019;s test (<italic>P</italic> = 0.85) detected no significant small-study effects.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Forest plot showing the effect of beta-carotene supplementation on total mortality in 31 randomized controlled trials.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-872310-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Funnel plot for publication bias in 31 randomized controlled trials.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-872310-g003.tif"/>
</fig>
<p>Subgroup analyses according to the number of participants, the number of events, gender, age groups, beta-carotene dose, follow-up duration, type of intervention (singly or combined beta-carotene supplements), participant health status, and the control group did not show any difference in total mortality among the participants (<xref ref-type="table" rid="T3">Table 3</xref>). <xref ref-type="table" rid="T4">Table 4</xref> shows the results of the subgroup analyses on cause-specific mortality. Beta-carotene supplementation was not associated with cancer mortality (RR 0.98, 95% CI 0.90&#x2013;1.07, <italic>I</italic><sup>2</sup> = 37%). However, the use of beta-carotene supplements significantly increased mortality among lung cancer patients (RR 1.14, 95% CI 1.02, 1.27, <italic>I</italic><sup>2</sup> = 3%). As for CVD mortality, we found no statistically significant difference between the groups (RR 1.04, 95% CI 0.98, 1.11, <italic>I</italic><sup>2</sup> = 0%). Similarly, beta-carotene supplementation did not reduce the risk of death from cerebrovascular disease (RR 0.94, 95% CI 0.82, 1.06, <italic>I</italic><sup>2</sup> = 0%). However, a significant beneficial effect of beta-carotene on mortality risk was observed in participants with human immunodeficiency virus (HIV) infection (RR 0.55, 95% CI 0.33, 0.92, <italic>I</italic><sup>2</sup> = 0%).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Subgroup analyses of the effect of beta-carotene on total mortality.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Subgroup title</td>
<td valign="top" align="center">No. of trials</td>
<td valign="top" align="center">No. of participants</td>
<td valign="top" align="center"><italic>I</italic><sup>2</sup> (%)</td>
<td valign="top" align="center">Risk ratio (95% CI)</td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Overall</bold></td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">216,734</td>
<td valign="top" align="center">42.0</td>
<td valign="top" align="center">1.02 (0.98, 1.05)</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>No of participants</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;1,000<break/>&#x2003;&#x003C;1,000</td>
<td valign="top" align="center">15<break/> 16</td>
<td valign="top" align="center">212,980<break/> 3,754</td>
<td valign="top" align="center">58.0<break/> 4.0</td>
<td valign="top" align="center">1.02 (0.98, 1.05)<break/> 0.93 (0.83, 1.04)</td>
<td valign="top" align="center">0.1<break/> 0.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>No of events</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;100<break/>&#x2003;&#x003C;100</td>
<td valign="top" align="center">16<break/> 15</td>
<td valign="top" align="center">211,899<break/> 4,835</td>
<td valign="top" align="center">55.0<break/> 15.0</td>
<td valign="top" align="center">1.02 (0.99, 1.05)<break/> 0.88 (0.71, 1.09)</td>
<td valign="top" align="center">0.2<break/> 0.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age (years)</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;65<break/>&#x2003;&#x003C;65</td>
<td valign="top" align="center">11<break/> 20</td>
<td valign="top" align="center">12,879<break/> 203,855</td>
<td valign="top" align="center">0.0<break/> 56.0</td>
<td valign="top" align="center">1.00 (0.94, 1.07)<break/> 1.02 (0.98, 1.06)</td>
<td valign="top" align="center">0.9<break/> 0.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Women<break/>&#x2003;Men<break/>&#x2003;Women and men</td>
<td valign="top" align="center">2<break/> 3<break/> 26</td>
<td valign="top" align="center">48,047<break/> 65,845<break/> 102,842</td>
<td valign="top" align="center">9.0<break/> 73.0<break/> 39.0</td>
<td valign="top" align="center">0.92 (0.72, 1.17)<break/> 1.01 (0.95, 1.08)<break/> 1.02 (0.97, 1.06)</td>
<td valign="top" align="center">0.5<break/> 0.8<break/> 0.5</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Daily dose equivalent (mg)</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265; 20<break/>&#x2003;&#x003C; 20</td>
<td valign="top" align="center">15<break/> 16</td>
<td valign="top" align="center">155,812<break/> 60,922</td>
<td valign="top" align="center">55.0<break/> 0.0</td>
<td valign="top" align="center">1.02 (0.97, 1.08)<break/> 1.01 (0.99, 1.02)</td>
<td valign="top" align="center">0.5<break/> 0.4</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Follow up</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;At least 4 years<break/>&#x2003;Less than 4 years</td>
<td valign="top" align="center">16<break/> 15</td>
<td valign="top" align="center">171,578<break/> 45,156</td>
<td valign="top" align="center">57.0<break/> 2.0</td>
<td valign="top" align="center">1.02 (0.98, 1.06)<break/> 0.94 (0.85, 1.04)</td>
<td valign="top" align="center">0.3<break/> 0.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Intervention</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Beta carotene alone<break/>&#x2003;Combined</td>
<td valign="top" align="center">4<break/> 27</td>
<td valign="top" align="center">2,343<break/> 214,391</td>
<td valign="top" align="center">0.0<break/> 47.0</td>
<td valign="top" align="center">0.96 (0.79, 1.16)<break/> 1.02 (0.98, 1.05)</td>
<td valign="top" align="center">0.6<break/> 0.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Participant health status</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Healthy<break/>&#x2003;Unhealthy</td>
<td valign="top" align="center">5<break/> 26</td>
<td valign="top" align="center">89,921<break/> 126,813</td>
<td valign="top" align="center">19.0<break/> 42.0</td>
<td valign="top" align="center">0.97 (0.91, 1.04)<break/> 1.03 (0.99, 1.07)</td>
<td valign="top" align="center">0.4<break/> 0.1</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Control group</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Placebo<break/>&#x2003;No intervention</td>
<td valign="top" align="center">30<break/> 1</td>
<td valign="top" align="center">216,520<break/> 214</td>
<td valign="top" align="center">43<break/> -</td>
<td valign="top" align="center">1.02 (0.99, 1.05)<break/> 0.63 (0.29, 1.39)</td>
<td valign="top" align="center">0.3<break/> 0.25</td>
</tr>
</tbody>
</table></table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Effects of beta-carotene supplements vs. placebo or no intervention on cause-specific mortality.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Mortality cause</td>
<td valign="top" align="center">No. of trials</td>
<td valign="top" align="center">Risk ratio (95% CI)</td>
<td valign="top" align="center">I2 (%)</td>
<td valign="top" align="center">Model used</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.98 (0.90, 1.07)</td>
<td valign="top" align="center">37.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Colorectal cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.97 (0.68, 1.38)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Esophagus and stomach cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.93 (0.82, 1.06)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Prostate cancer</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.93 (0.73, 1.18)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Lung cancer</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.14 (1.02, 1.27)<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Lung cancer in smokers</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.14 (1.03, 1.27)<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Lung cancer in mixed smokers and non-smokers</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.94 (0.74, 1.20)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.82 (0.55, 1.21)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Pancreatic cancer</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.85 (0.62, 1.16)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Other cancer</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.86 (0.70, 1.06)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular disease</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1.04 (0.98, 1.11)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.94 (0.82, 1.06)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">HIV-related causes</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.55 (0.33, 0.92)<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
<tr>
<td valign="top" align="left">Non-cancer, non-vascular cause</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.04 (0.95, 1.14)</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">Random effects</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fns1"><p><italic>&#x002A;Statistically significant.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The current meta-analysis found that the administration of beta-carotene supplements had no preventive effect on total mortality, mortality from cancer, and vascular and non-vascular diseases. Furthermore, no association was found within subgroup meta-analyses based on the number of participants, the number of events, sex, age groups, beta-carotene dose, follow-up duration, type of intervention (singly or combined beta-carotene supplements), participant health status, and control group. However, beta-carotene supplementation was significantly related to an increased risk of lung cancer mortality (RR 1.14, 95% CI 1.02, 1.27, <italic>I</italic><sup>2</sup> = 3%, <italic>n</italic> = 5). The effects of beta-carotene supplementation on increased lung cancer incidence and mortality among smokers have already been described, and several possible biological mechanisms have been proposed. In general, beta-carotene supplementation has not been shown to positively impact cancer prevention. In a systematic review and meta-analysis, no effect of beta-carotene supplementation was observed on the incidence of the total, pancreatic, colorectal, prostate, breast, melanoma, and non-melanoma skin cancers. However, a significant harmful effect of beta-carotene supplementation on the incidence of lung and stomach cancers was observed in people supplemented with beta-carotene at 20&#x2013;30 mg/day, in smokers and asbestos workers compared to placebo (<xref ref-type="bibr" rid="B78">78</xref>). Beta-carotene may act as a pro-oxidant in the presence of chronic oxidative stress such as smoking (<xref ref-type="bibr" rid="B79">79</xref>) and it may enhance the oxidative stress initiated by cigarette smoking and stimulate toxic effects in tissues (<xref ref-type="bibr" rid="B80">80</xref>). Our study also found significant inverse associations of beta-carotene supplementation with the risk of HIV-related mortality; however, this was reported in only two studies. This is in line with previous evidence illustrating that persons in all stages of HIV infection generally have low circulating levels of micronutrients, including carotenoids, and low micronutrient concentrations are correlated with HIV disease progression and mortality (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Overall, the findings of the present meta-analysis of RCTs are inconsistent with previous meta-analyses of observational studies suggesting beneficial effects from high dietary or circulatory beta-carotene-rich fruits and vegetables on all-cause and CVD mortality (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Intervention studies are commonly considered to provide conclusive answers, whereas observational studies represent a better picture of the real-world population. There are evident differences between the findings of published trials, which could be explained by population characteristics (general, ill, or at high-risk subjects), the different doses of supplementation (dietary levels or higher), which can be associated with harmful health effects (<xref ref-type="bibr" rid="B81">81</xref>), and the type of supplement (alone or in association). In this last condition, when subgroup analysis was performed, only 4 out of 31 studies reported the use of beta-carotene alone. Although no significant difference was found in all-cause mortality (<italic>p</italic> = 0.64), a very low heterogeneity was discovered among these studies (<italic>I</italic><sup>2</sup> = 3.60%) with a trend in reduced mortality with beta-carotene supplementation (RR = 0.95, 95% CI 0.74. 1.16, <xref ref-type="supplementary-material" rid="FS5">Supplementary Figure 5</xref>). Indeed, it appears that optimal effects may be obtained with a combination of nutrients at similar levels to a healthy diet. A single antioxidant, such as beta-carotene, given at high doses in subjects with a high risk of diseases, such as smokers and asbestos-exposed workers, might not have considerable benefits and can even have adverse outcomes (<xref ref-type="bibr" rid="B82">82</xref>). Another possible reason for the harmful effect in clinical trials involving beta-carotene may be attributed to the purified synthetic form (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>). The effective uptake of synthetic all-trans beta-carotene seems to make the synthetic form more suitable for efficient absorption. However, the fact that synthetic beta-carotene can change normal serum trans/cis ratios favoring the trans-isomer may lead to an unfavorable effect. The effects of using all-trans synthetic beta-carotene are still not well-understood (<xref ref-type="bibr" rid="B84">84</xref>). It is assumed that synthetic beta-carotene rather than natural mixed carotenoids may stimulate cancer formation (<xref ref-type="bibr" rid="B85">85</xref>). Ultimately, higher antioxidant intakes, including beta-carotene, are associated with a better diet quality, which indicates higher intakes of nutrients such as fibers, minerals, and flavonoids, and lower intakes of unhealthy nutrients.</p>
<p>The present study has several possible limitations. Firstly, in the majority of the studies, synthetic beta-carotene was used. Clinical consequences of using natural beta-carotene are not well-understood because RCTs have yet to be conducted. Additional trials are required to understand the differential results of synthetic beta-carotene as an alternative to natural beta-carotene. Secondly, the results were accompanied by some evidence of heterogeneity. However, the subgroup analyses were performed to overcome this problem, implying that some of the study and participant characteristics were possible sources of the heterogeneity in the data. Thirdly, the database sources did not include EMBASE. However, CENTRAL and Scopus include several articles from EMBASE as the original source.</p>
<p>Our study has several strengths, as well. We updated the association of beta-carotene with total mortality, assessed its effects on cause-specific mortality, and showed a significant inverse association between beta-carotene intake and HIV-related mortality. Second, because of no evidence of publication bias, the results have not been altered by this type of bias.</p>
<p>In conclusion, we found no evidence of an overall preventive effect of beta-carotene supplements on total, cancer, CVD, and cerebrovascular mortality risk in our meta-analysis of RCTs published over the past 25 years. Instead, beta-carotene supplementation increased the risk of lung cancer mortality but decreased the risk of HIV-related mortality. Surely more studies should be performed to better define this issue, by confirming or denying our results. Therefore, beta-carotene supplementation&#x2019;s possible beneficial or harmful effects on mortality must not be overstated.</p>
</sec>
<sec id="S5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>GC and SD conceived of the presented manuscript. SA, SM, MI, and GS analyzed each article and performed the data extraction independently. VC, MI, and SM drafted the method and result section with the input of GC and SD. GS and VC drafted the introduction and discussion section with the input of SA, GC, and SD. All authors discussed the results and contributed to the final manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</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>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Italian Ministry of Health funds (FFABR_Corbi 2017).</p>
</sec>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2022.872310/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2022.872310/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIFF" id="FS1" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Quality of the included trials by using the Cochrane Collaboration risk of bias tool.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.TIFF" id="FS2" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 2</label>
<caption><p>Quality of the included trials by using the Cochrane Collaboration risk of bias tool in summary with the studies.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.JPEG" id="FS3" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 3</label>
<caption><p>The GRADE assessment of the study&#x2019;s quality for the all-cause mortality outcome.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.JPEG" id="FS4" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 4</label>
<caption><p>The GRADE assessment of the study&#x2019;s quality for the all-cause mortality outcome with beta carotene alone.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.TIFF" id="FS5" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 5</label>
<caption><p>Subgroup analysis by the type of supplement (alone or in association).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_6.pdf" id="FS6" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 6</label>
<caption><p>PRISMA checklist.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_7.tiff" id="FS7" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 7</label>
<caption><p>Subgroup analysis by country.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.pdf" id="TS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Table 1</label>
<caption><p>Publication bias evaluation of each study by using the Cochrane Collaboration risk of bias tool.</p></caption>
</supplementary-material>
</sec>
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