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<Article>
<Journal>
				<PublisherName>Kerman University of Medical Sciences</PublisherName>
				<JournalTitle>International Journal of Health Policy and Management</JournalTitle>
				<Issn>2322-5939</Issn>
				<Volume>14</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Bibliometric and Visual Analysis of Cancer Screening Based on the Web of Science Core Collection Database</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>9</LastPage>
			<ELocationID EIdType="pii">4796</ELocationID>
			
<ELocationID EIdType="doi">10.34172/ijhpm.8554</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Wanrong</FirstName>
					<LastName>Dai</LastName>
<Affiliation>Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University
School of Medicine, Hangzhou, China</Affiliation>

</Author>
<Author>
					<FirstName>Baixu</FirstName>
					<LastName>Wu</LastName>
<Affiliation>CUHK Business School, Hong Kong,
China</Affiliation>

</Author>
<Author>
					<FirstName>Jie</FirstName>
					<LastName>Sun</LastName>
<Affiliation>Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University
School of Medicine, Hangzhou, China</Affiliation>

</Author>
<Author>
					<FirstName>Wuping</FirstName>
					<LastName>Shuai</LastName>
<Affiliation>Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University
School of Medicine, Hangzhou, China</Affiliation>

</Author>
<Author>
					<FirstName>Shuying</FirstName>
					<LastName>Han</LastName>
<Affiliation>Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University
School of Medicine, Hangzhou, China</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>04</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span class=&quot;fontstyle0&quot;&gt;Background  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This study aimed to systematically analyze the current research status, development trends, collaborative &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;networks, and hot topics in the global cancer screening field using a bibliometric method. It sought to reveal the &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;contributions and influences of different countries and institutions and explore potential directions for future research, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;providing a comprehensive basis for academia and policy-makers to optimize cancer screening strategies.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Methods  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;We searched the Web of Science Core Collection on October 15, 2023, using TS = (cancer screening) and &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;DT = (Article), with no restrictions on the language or publication year. Only original research articles directly related &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;to cancer screening were included; abstracts, comments, and non-research literature were excluded. VOSviewer was &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;used for co-occurrence analysis to assess research status and hotspots. CiteSpace analyzed annual publication trends, &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;collaboration networks among countries, institutions, journals, authors, and keywords.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Results  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;A total of 5223 articles were retrieved, showing a continuous growth trend in annual publication volume. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The USA had the highest output (2418), followed by the UK and the Netherlands. Harvard University was the most &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;productive institution (183). &lt;/span&gt;&lt;em&gt;&lt;span class=&quot;fontstyle3&quot;&gt;Cancer &lt;/span&gt;&lt;/em&gt;&lt;span class=&quot;fontstyle2&quot;&gt;published the most articles (120), while the &lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;&lt;em&gt;New England Journal of Medicine&lt;/em&gt; &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;had &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;the most citations (7991). High-frequency keywords included screening (987), colorectal cancer (CRC) (783), mortality &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;(680), women (671), and breast cancer (BC) (669). Cluster analysis revealed seven main research themes: CRC, cervical &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;cancer (CC), lung cancer (LC), BC, cancer screening, human papillomavirus (HPV) vaccination, and lynch syndrome. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Hot topics included LC screening and adherence. Future research may increasingly focus on artificial intelligence (AI) &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and deep learning (DL), aiming to introduce new technologies and optimize screening strategies to improve efficiency &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;and early diagnosis.&lt;/span&gt;&lt;br /&gt; &lt;br /&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Conclusion  &lt;/span&gt;&lt;br /&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Research on cancer screening is rapidly advancing, with the USA leading in productivity and influence. &lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Current research mainly focuses on CRC, CC, LC, and BC.&lt;/span&gt; </Abstract>
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			<Object Type="keyword">
			<Param Name="value">Cancer Screening</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bibliometrics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Visualization Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial Intelligence (AI)</Param>
			</Object>
		</ObjectList>
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