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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Biomedical Research and Therapy</journal-title>
      </journal-title-group>
      <issn pub-type="epub" publication-format="electronic">2198-4093</issn>
      <publisher>
        <publisher-name>BioMedPress</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.15419/bmrat.v4i9.368</article-id>
      <article-categories>
        <subj-group subj-group-type="display-channel">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="heading">
          <subject>Biomedical Research and Therapy</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The incidence and mortality of esophageal cancer and its relationship with development in the world</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Hassanipour</surname>
            <given-names>Soheil</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mohammadian-Hafshejani</surname>
            <given-names>Abdollah</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ghoncheh</surname>
            <given-names>Mahshid</given-names>
          </name>
          <xref ref-type="aff" rid="aff3"/>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Salehiniya</surname>
            <given-names>Hamid</given-names>
          </name>
          <xref ref-type="aff" rid="aff4"/>
          <xref ref-type="aff" rid="aff5"/>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
        <aff id="aff1">
          <institution>Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran</institution>
        </aff>
        <aff id="aff2">
          <institution>Department of Public Health, School of Public Health, Dezful University of Medical Sciences, Dezful, Iran</institution>
        </aff>
        <aff id="aff3">
          <institution>Shahid Beheshti University of Medical Sciences, Tehran, Iran</institution>
        </aff>
        <aff id="aff4">
          <institution>Zabol University of Medical Sciences, Zabol, Iran</institution>
        </aff>
        <aff id="aff5">
          <institution>Department of Epidemiology and Biostatistics, school of public health, Tehran University of Medical Sciences, Tehran, Iran</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="cor1"><label>*</label>For correspondence: <email>alesaleh70@yahoo.com</email></corresp>
        <fn fn-type="con" id="equal-contrib">
          <label>*</label>
          <p>These authors contributed equally to this work</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>20</day>
        <month>09</month>
        <year>2017</year>
      </pub-date>
      <volume>4</volume>
      <issue>9</issue>
      <fpage>1</fpage>
      <lpage>6</lpage>
      <history>
        <date date-type="received">
          <day>10</day>
          <month>08</month>
          <year>2017</year>
        </date>
        <date date-type="accepted">
          <day>06</day>
          <month>09</month>
          <year>2017</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright: &#169; The Author(s) 2017</copyright-statement>
        <copyright-year>2017</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/CC-BY/4.0">
          <license-p>This article is published with open access by BioMedPress (BMP), Laboratory of Stem Cell Research and Application, Vietnam National University, Ho Chi Minh city, Vietnam This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.</license-p>
        </license>
      </permissions>
      <self-uri content-type="pdf" xlink:href="http://www.bmrat.org/index.php/BMRAT/article/view/368/752"/>
      <abstract>
        <p>Introduction: Understanding the epidemiology of Esophageal Cancer (EC) seems to be essential in order to plan and control it. The aim of this study was to investigate the incidence and mortality rate of EC and its relationship with the worldwide Human Development Index (HDI) of 2012. Materials and Methods: This study was an ecological study which assessed the correlation of age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of EC with HDI and its components. ASIR and ASMR data for EC were extracted from the global cancer project for the year 2012. Statistical analyses were performed by SPSS 16. Results: From EC were recorded worldwide in 2012, there was a total of 455,784 incidents of EC (70.86% males and 29.14% females; ratio of males to females was 2.43:1) and 400,169 mortalities (70.27% males and 29.73% females; ratio of males to females was 2.36:1). The correlation between HDI and SIR was -0.121 (p=0.105); with -0.061 (p=0.415) for men and -0.190 (p=0.010) for women. Moreover, the correlation between HDI and SMR was -0.156 (p=0.036), with -0.101 (p=0.180) for men and -0.218 (p=0.003) for women. Conclusion: The incidence and mortality rates from EC is higher in less developed or developing countries. No statistically  significant  correlation  was  seen  between the  standardized  mortality  or incidence rates of EC and the 2012 HDI.</p>
      </abstract>
      <kwd-group>
        <kwd>Epidemiology</kwd>
        <kwd>Esophageal Cancer</kwd>
        <kwd>Incidence</kwd>
        <kwd>Inequality</kwd>
        <kwd>Mortality</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="s1">
      <title>Introduction</title>
      <p>Esophageal Cancer (EC) is the eighth most common cancer in terms of incidence and the sixth highest in terms of mortality <xref ref-type="bibr" rid="ref25">Pennathur et al., 2013</xref>. In 2013, 442,000 new cases and 440,000 deaths were reported <xref ref-type="bibr" rid="ref7">Ferlay et al., 2015</xref>. EC has caused 8.9 million daily worldwide in 2013; moreover, EC cancer has reached the 6th highest in terms of mortality (it ranked 7th for years of life lost (YLL) in 1990) <xref ref-type="bibr" rid="ref5">Di Pardo et al., 2016</xref>. Eighty-four of EC have occurred in developing countries and 16% have occurred in developed ones <xref ref-type="bibr" rid="ref32">Umar and Fleischer, 2008</xref>. Despite medical developments in recent years, the 5-year survival rate of EC has been &lt;20% <xref ref-type="bibr" rid="ref2">Castro et al., 2014</xref><xref ref-type="bibr" rid="ref23">Napier et al., 2014</xref>. The age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) per hundred thousand for esophagus cancer in both sexes from 2013 were greater in developing countries than in developed ones (ASIR=8.94 vs. 3.90, and ASDR=9.11 vs. 3.79, respectively) <xref ref-type="bibr" rid="ref6">Ferlay J, 2013</xref>.</p>
      <p>The  highest  rates  of  EC  in  men  were  seen  in  Eastern  Asia  (ASDR=22.4; ASIR=22.04) and in women were seen in the region of Eastern Sub-Sahara of Africa (ASDR=13.78; ASIR=12.74). The lowest rates for both sexes were seen in the region of Latin America (ASMR=2.49 and ASIR=2.14 for men; ASMR=0.64 and ASIR=0.64 for women) <xref ref-type="bibr" rid="ref6">Ferlay J, 2013</xref>. Thus, EC occurs more frequently in men than women. In Iran, for instance, the frequency in men versus women is 2 to 4 times greater <xref ref-type="bibr" rid="ref14">Kiadaliri, 2014</xref>. The highest incidence rate of EC has been observed in northern Iran, China, and southern Africa <xref ref-type="bibr" rid="ref2">Castro et al., 2014</xref><xref ref-type="bibr" rid="ref14">Kiadaliri, 2014</xref>. Cancer incidence rates in these areas have been reported to be higher than 100 per hundred thousand <xref ref-type="bibr" rid="ref3">Chen et al., 2015</xref><xref ref-type="bibr" rid="ref11">Harirchi et al., 2014</xref>. The greatest SIR of EC was seen in Malawi (as was the greatest SMR) and the greatest MIR was seen in China <xref ref-type="bibr" rid="ref31">Torre et al., 2015</xref>.</p>
      <p>Squamous cell carcinoma (SCC) and adenocarcinoma (ADC) are the two main histological types of EC <xref ref-type="bibr" rid="ref32">Umar and Fleischer, 2008</xref>. The etiology and risk factors of these two types are different <xref ref-type="bibr" rid="ref30">Spechler, 2013</xref>. Most cases of EC are of the SCC type <xref ref-type="bibr" rid="ref36">Zhang, 2013</xref>. For unknown reasons, the incidence of SCC has declined in recent years while the incidence of ADC has increased <xref ref-type="bibr" rid="ref15">Kim et al., 2014</xref>. EC is one of the cancers that are strongly associated with social and economic status <xref ref-type="bibr" rid="ref4">Dar et al., 2013</xref><xref ref-type="bibr" rid="ref33">Wang et al., 2015</xref>. Studies have shown that tobacco, weak nutrition and alcohol are most associated with EC, especially the SCC type <xref ref-type="bibr" rid="ref17">Lin et al., 2013</xref><xref ref-type="bibr" rid="ref18">Liu et al., 2014</xref><xref ref-type="bibr" rid="ref29">Salehi et al., 2013</xref>. Furthermore, low income populations have a higher chance of mortality from EC because they have less access to prevention and treatment services <xref ref-type="bibr" rid="ref34">Wang et al., 2013</xref><xref ref-type="bibr" rid="ref35">Wei et al., 2015</xref>.</p>
      <p>The Human Development Index (HDI) is a tool used to differentiate countries based on three components: life expectancy at birth, mean years of schooling, and income levels. The numerical value of the HDI is between 0 to 1 <xref ref-type="bibr" rid="ref20">Malik, 2013a</xref>. Few studies have paid attention to the role and correlation of HDI and some types of cancer <xref ref-type="bibr" rid="ref9">Ghoncheh et al., 2015a</xref><xref ref-type="bibr" rid="ref10">Ghoncheh et al., 2015b</xref><xref ref-type="bibr" rid="ref12">Hassanipour-Azgomi et al., 2016</xref>. Due to the high incidence of EC worldwide and the relevance of the HDI for understanding incidence and mortality related to EC, this study herein was undertaken to explore the relationship of the incidence and mortality of EC around the world with the 2012 HDI.</p>
    </sec>
    <sec id="s2">
      <title>Materials - Methods</title>
      <p>This study was an ecological study of global data to assess the correlation of ASIR and ASMR of EC with HDI 2012 and its components (including life expectancy at birth, mean years of schooling, and gross national income (GNI) per capita). Data on ASIR and ASMR for every country in 2012 were obtained from the global cancer project, available at http://globocan.iarc.fr/Default.aspx <xref ref-type="bibr" rid="ref7">Ferlay et al., 2015</xref>, and from the HDI of the Human Development Report 2013 <xref ref-type="bibr" rid="ref21">Malik, 2013b</xref>, which includes information from the 2012 HDI and corresponding details for each country in the world.</p>
      <p>Method to estimate ASIR and ASMR from the global cancer project by international research agencies have previously been reported <xref ref-type="bibr" rid="ref7">Ferlay et al., 2015</xref><xref ref-type="bibr" rid="ref26">Razi et al., 2016</xref>. HDI was obtained from a composite measure of indicators of three main components (including life expectancy, educational attainment, and command over resources needed for a decent living) <xref ref-type="bibr" rid="ref20">Malik, 2013a</xref>.</p>
      <sec id="s2-1">
        <title>Statistical analysis</title>
        <p>In this study, we used correlation bivariate method to assess the correlation between ASR and HDI (and its corresponding components). Statistical significance was assumed if p&lt;0.05. All reported p-values were two-sided. Statistical analyses were performed using SPSS (Version 16.0, SPSS Inc., Chicago, IL).</p>
      </sec>
    </sec>
    <sec id="s3">
      <title>Results</title>
      <p>Overall, in 2012, 455,784 cases of EC were recorded around the world, of which 323,008 cases (70.86%) occurred in men and 132,776 cases (29.14%) occurred in women. The ratio, therefore, for men versus women was 2.43. The five countries with the largest number of new cases were as follows:</p>
      <p>1) China (with about 223,306 cases),</p>
      <p>2) India (with 41,774 cases),</p>
      <p>3) Japan (with 19,683 cases),</p>
      <p>4) United States of America (with 16,968 cases),</p>
      <p>5) Bangladesh (with 13,909 cases).</p>
      <p>Altogether, these 5 countries accounted for 315,640 cases (69.25%) of all incidents of EC worldwide.</p>
      <p>As for highest SIR of EC in the world, the top five countries were as follows:</p>
      <p>1) Malawi (with SIR of 24.2 per hundred thousand people),</p>
      <p>2) Turkmenistan (with 19.7 per hundred thousand people),</p>
      <p>3) Kenya (with 17.6 per hundred thousand people),</p>
      <p>4) Mongolia (with 17.6 per hundred thousand people),</p>
      <p>5) Uganda (with 17.1 per hundred thousand people).</p>
      <p>Furthermore, as for lowest SIR of EC, the top 5 countries were:</p>
      <p>1) Vanuatu (with 0 per hundred thousand people),</p>
      <p>2) Cape Verde (with 0.1 per hundred thousand people),</p>
      <p>3) Solomon Islands (with 0.2 per hundred thousand people),</p>
      <p>4) Western Sahara (with 0.2 per hundred thousand people),</p>
      <p>5) Nigeria (with SIR of 0.3 per hundred thousand people).</p>
      <p>Based on the HDI, the SIR was 3.8% per hundred thousand people in Very High Human Development areas, 3.4% per hundred thousand people in High Human Development regions, 8 per hundred thousand people in Medium Human Development areas, and 6.2 per hundred thousand people in Low Human Development regions. Moreover, the SIR in the six WHO areas were: 3.4 per hundred thousand people in WHO Europe region (EURO), 3.3 per hundred thousand people in WHO Americas region (PAHO), 10.2 per hundred thousand people in WHO Western Pacific region (WPRO), 4.3 per hundred thousand people in WHO South-East Asia region (SEARO), 4 per hundred thousand people in WHO East Mediterranean region (EMRO), and 5 per hundred thousand people in WHO Africa region (AFRO). Additionally, there were 3.6 per hundred thousand people in more developed regions and 7 per hundred thousand people in less developed regions.</p>
      <p>The number and rate of crude and SIR of EC worldwide in 2012 are shown in Table 1 according to regions in the world. Different regions of the world have been sorted from highest to lowest on the basis of SIR (<xref ref-type="fig" rid="tab1"> Table 1 </xref>). Moreover, regions with the highest and lowest standardized rates of EC are depicted for each sex (<xref ref-type="fig" rid="tab1"> Table 1 </xref>).</p>
      <fig id="tab1">
        <label>Table 1</label>
        <caption>
          <p>Number and rate of crude and ASIR of esophageal cancer worldwide in 2012 (sorted by age-standardized rates from highest to lowest values)</p>
        </caption>
        <graphic xlink:href="bmrat.v4i9.368/tab1.png"/>
      </fig>
      <p>In terms of mortality, 400,169 cases of death have occurred worldwide in 2012 due to EC, of which 281,217 cases (70.27%) occurred in men and 118,952 cases (29.73%) occurred in women. Therefore, the ratio in men versus women was 2.36. The greatest number of deaths from EC occurred in these 5 countries:</p>
      <p>1) China (with 197,472 cases),</p>
      <p>2) India (with 38,683 cases,</p>
      <p>3) United States of America (with 15,982 cases),</p>
      <p>4) Bangladesh (with 12,909 cases),</p>
      <p>5) Japan (with 12440 cases).</p>
      <p>Altogether, these 5 countries accounted for 277,486 cases (69.34%) of all deaths from EC worldwide.</p>
      <p>As for highest SMR of EC in the world, the top five countries were as follows:</p>
      <p>1) Malawi (with standardized rate of 22.9 per hundred thousand people),</p>
      <p>2) Turkmenistan (with 18.5 per hundred thousand people),</p>
      <p>3) Kenya (with 16.5 per hundred thousand people),</p>
      <p>4) Uganda (with 15.9 per hundred thousand people),</p>
      <p>5) Mongolia (with 15.5 per hundred thousand people).</p>
      <p>Furthermore, as for lowest SMR of EC, the top 5 countries were:</p>
      <p>1) Vanuatu (with standardized rate of 0 per hundred thousand people),</p>
      <p>2) Cape Verde (with 0.1 per hundred thousand people),</p>
      <p>3) Solomon Islands (with 0.2 per hundred thousand people),</p>
      <p>4) Western Sahara (with 0.2 per hundred thousand people),</p>
      <p>5) Nigeria (with 0.3 per hundred thousand people)</p>
      <p>Human Development areas, 2.9 per hundred thousand people in High Human Development areas, 7.1 per hundred thousand people in Medium Human Development areas, and 5.8 per hundred thousand people in Low Human Development areas. Moreover, the SIR in the six WHO areas were 2.9 per hundred thousand people in WHO Europe region (EURO), 2.8 per hundred thousand people in WHO Americas region (PAHO), 8.5 per hundred thousand people in WHO Western Pacific region (WPRO), 3.9 per hundred thousand people in WHO South-East Asia region (SEARO), 3.7 per hundred thousand people in WHO East Mediterranean region (EMRO), and 4.7 per hundred thousand people in WHO Africa region (AFRO). Additionally, there were 2.8 per hundred thousand people in more developed regions and 6.2 per hundred thousand people in less developed regions.</p>
      <p>The number and rate of crude and SMR of EC worldwide in 2012 are shown in <xref ref-type="fig" rid="tab2"> Table 2 </xref>. Different parts of the world were sorted by standardized rates from high to low. The various parts of the world with the highest and lowest standardized rates of EC are depicted for each sex (<xref ref-type="fig" rid="tab2"> Table 2 </xref>).</p>
      <sec id="s3-1">
        <title>Correlation of SIR and HDI</title>
        <p>A negative correlation (r=-0.121) was observed between SIR of EC and HDI; however, this correlation was not statistically significant (p=0.105). As well, there was a nonsignificant correlation between the components of the HDI and SIR for EC. For instance, between SIR and life expectancy at birth, there was a negative correlation (-0.124; p=0.099), between SIR and mean years of education the correlation coefficient was -0.054 (p=0.471), and between SIR and income level per capita the correlation coefficient was -0.024 (p=0.750). However, none of the above correlations were significant.</p>
        <p>In men, a negative correlation (-0.061) was observed between SIR of EC and HDI, which was not statistically significant (p=0.415). A negative correlation (-0.092) was seen between SIR and life expectancy at birth (p=0.220), no correlation was seen between SIR and mean years of education, and a negative correlation (-0.025) was seen between SIR and income level per capita (p=0.744). However, none of the above correlations were significant.</p>
        <p>In women, a negative correlation (-0.190) was observed between SIR of EC and HDI, which was not statistically significant (p=0.415). A negative correlation (-0.157) was seen between SIR of EC and life expectancy at birth (p=0.036), which was significantly significant. However, there was a negative correlation (-0.117) with mean years of education (p=0.119), and with income level per capita (-0.73; p=0.333), though neither was statistically significant.</p>
      </sec>
      <sec id="s3-2">
        <title>Correlation of SMR and HDI</title>
        <p>A negative correlation (-0.156) was observed between SMR of EC and HDI; this association was statistically significant (p=0.036). Also, a negative correlation (-0.154) was seen between SMR and life expectancy at birth (p=0.039), between SMR and mean years of education (-0.083; p=0.267), and between SMR and income level per capita (-0.051; p=0.499).</p>
        <p>In men, a negative correlation (-0.1) was observed between SMR of EC and HDI though the association was not statistically significant (p=0.180). Specifically, a negative correlation (-0.126) was seen between SMR and life expectancy at birth (p=0.092), between SMR and mean years of education (-0.033; p=0.656), and between SMR and income level per capita (-0.008; p=0.910).</p>
        <p>In women, a negative correlation (-0.218) was observed between SMR of EC and HDI, which was statistically significant (p=0.003). Also, a negative correlation (-0.180) was seen between the SMR and life expectancy at birth (p=0.015), between SMR and mean years of education (-0.139; p=0.063), and between SMR and income level per capita (-0.090; p=0.227).</p>
      </sec>
      <fig id="tab2">
        <label>Table 2</label>
        <caption>
          <p>Number and rate of crude and ASMR of esophageal cancer worldwide in 2012 (sorted by age-standardized rates from highest to lowest values)</p>
        </caption>
        <graphic xlink:href="bmrat.v4i9.368/tab2.png"/>
      </fig>
    </sec>
    <sec id="s4">
      <title>Discussion</title>
      <p>The results of our study showed that a negative relationship exists between the standardized incidence of EC and HDI, but that this relationship is not statistically significant. The statistics show that the highest incidence of EC were seen in Malawi, Turkmenistan and Kenya, respectively, in 2012. These findings were similar to other studies of Asian countries <xref ref-type="bibr" rid="ref24">Pakzad et al., 2016</xref>. For instance, countries such as Turkmenistan, Mongolia, Tajikistan and China were shown to have the highest incidence of EC and are located in the Asian Esophageal Cancer Belt <xref ref-type="bibr" rid="ref7">Ferlay et al., 2015</xref><xref ref-type="bibr" rid="ref17">Lin et al., 2013</xref>. These countries and some African countries which have high incidence of EC are all among the countries with average or poor HDI <xref ref-type="bibr" rid="ref20">Malik, 2013a</xref>. Studies have shown that in countries with medium HDI, EC is one of the most common cancers <xref ref-type="bibr" rid="ref1">Bray et al., 2012</xref>. Indeed, EC is more common in less developed or developing countries due to smoking, alcohol consumption, nutritional status, environmental pollution and life style behavior <xref ref-type="bibr" rid="ref13">Keramatinia et al., 2016</xref><xref ref-type="bibr" rid="ref16">Koca et al., 2015</xref><xref ref-type="bibr" rid="ref18">Liu et al., 2014</xref><xref ref-type="bibr" rid="ref23">Napier et al., 2014</xref><xref ref-type="bibr" rid="ref33">Wang et al., 2015</xref> - combine. HDI is moderate or low in areas with high rates of EC. In these regions, people pay fewer attention to their health and/or are diagnosed late, leading to a lower survival rate for EC compared to people from more developed regions <xref ref-type="bibr" rid="ref11">Harirchi et al., 2014</xref><xref ref-type="bibr" rid="ref36">Zhang, 2013</xref>.</p>
      <p>From our analysis, the relationship between the components of the HDI and the incidence of EC revealed that there is a weak negative correlation between life expectancy at birth, mean years of education, and income level with the incidence of EC, but none were statistically significant. However, if we analyze on the basis of gender segregation, the relationship between life expectancy and EC incidence (SIR) in women is significant; this could result from decreased awareness of EC by women and/or fewer health facilities for women than men <xref ref-type="bibr" rid="ref14">Kiadaliri, 2014</xref>. Other studies have shown that with increasing awareness level, the incidence of risky behaviors such as smoking, physical inactivity, alcohol consumption, and other unhealthy lifestyle associated factors decreases. This, in turn, can affect the incidence of non-communicable diseases such as cancer <xref ref-type="bibr" rid="ref2">Castro et al., 2014</xref><xref ref-type="bibr" rid="ref16">Koca et al., 2015</xref>. Moreover, educated people are more inclined to check on their health status leading to diagnosis and treatment of diseases such as cancer <xref ref-type="bibr" rid="ref8">Forbes et al., 2013</xref><xref ref-type="bibr" rid="ref19">Mai et al., 2014</xref>.</p>
      <p>The results of our study also showed that there is a significant negative relationship between the standardized mortality rate of EC (SMR) and HDI. This relationship was significant for life expectancy but not significant for average years of education or income level. Interestingly, similar to SIR of EC, the relationship between life expectancy at birth and SMR of EC in women was significant, but not significant in men. Statistics have shown that the greatest SMR for EC were seen in Malawi, Turkmenistan and Kenya, respectively. A study which examined the role of the Development Index and EC in Asia also obtained similar results to our study <xref ref-type="bibr" rid="ref24">Pakzad et al., 2016</xref>. Moreover, other studies have shown that the mortality rate of EC in developing countries is higher than in developed ones <xref ref-type="bibr" rid="ref17">Lin et al., 2013</xref><xref ref-type="bibr" rid="ref31">Torre et al., 2015</xref>.</p>
      <p>The greater the HDI, the lower the incidence of EC <xref ref-type="bibr" rid="ref7">Ferlay et al., 2015</xref><xref ref-type="bibr" rid="ref20">Malik, 2013a</xref>. In developing and less developed countries, the death rate from cancer will be higher due to weak economic conditions, greater tobacco use, poor diet, greater alcohol consumption, higher incidence of other cancers and, most importantly, lack of adequate access to diagnostic and treatment facilities <xref ref-type="bibr" rid="ref18">Liu et al., 2014</xref><xref ref-type="bibr" rid="ref22">Mao et al., 2011</xref><xref ref-type="bibr" rid="ref27">Rezaianzadeh et al., 2016</xref><xref ref-type="bibr" rid="ref28">Rezaianzadeh et al., 2017</xref>. Conversely, incidence of some cancers, such as EC, was reduced in developed countries due to better treatment methods, better lifestyle screening, lower risk of infectious diseases, and better access to health care services <xref ref-type="bibr" rid="ref17">Lin et al., 2013</xref><xref ref-type="bibr" rid="ref19">Mai et al., 2014</xref><xref ref-type="bibr" rid="ref29">Salehi et al., 2013</xref><xref ref-type="bibr" rid="ref30">Spechler, 2013</xref>. Moreover, in countries with better economic and social conditions, and particularly access to earlier diagnosis of diseases, the survival rate of patients will presumably be greater. These factors account for the differences between the incidence and mortality rates of EC in different countries of the world <xref ref-type="bibr" rid="ref14">Kiadaliri, 2014</xref><xref ref-type="bibr" rid="ref15">Kim et al., 2014</xref><xref ref-type="bibr" rid="ref23">Napier et al., 2014</xref>.</p>
      <p>In ecological studies, such as this one, the results are meant to represent the general population. However, one main limitation is the ecological fallacy can occur, such as when results obtained from the group level are interpreted at the individual level.</p>
    </sec>
    <sec id="s5">
      <title>Conclusion</title>
      <p>The incidence and mortality rates of EC in less developed and developing countries are high. No statistically significant relationship was seen between the standardized incidence and mortality rates of EC and the 2012 HDI.</p>
    </sec>
    <sec id="s6">
      <title>Abbreviations</title>
      <p>ASIR age-standardized incidence rate</p>
      <p>ASMR age-standardized mortality rate</p>
      <p>EC esophageal cancer</p>
      <p>HDI Human Development Index</p>
    </sec>
    <sec id="s7">
      <title>Author Contribution</title>
      <p>All authors contributed to the design of the research. SH, AMH, HS and MG collected the data. SH and AMH conducted analysis and interpretation of data. All authors drafted the first version. SH, AMH and HS edited the first draft. All authors reviewed and commented on final draft.</p>
    </sec>
  </body>
  <back>
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