External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men
A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed u...
Gespeichert in:
Veröffentlicht in: | Medicine (Baltimore) 2019-07, Vol.98 (29), p.e16375-e16375 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e16375 |
---|---|
container_issue | 29 |
container_start_page | e16375 |
container_title | Medicine (Baltimore) |
container_volume | 98 |
creator | Luo, Qianqian Huang, Xiaojie Li, Lingling Ding, Yingying Mi, Guodong Scott, Sarah Robbins Zhao, Yan Rou, Keming He, Na Wu, Hao Wu, Zunyou |
description | A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection. |
doi_str_mv | 10.1097/MD.0000000000016375 |
format | Article |
fullrecord | <record><control><sourceid>pubmed_cross</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6708837</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>31335685</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4500-6144f21e79a1c4724378c8d7966b7a9a6f38dc50bb8c6c9df223826253bf360e3</originalsourceid><addsrcrecordid>eNpdkdtuFSEUhonR2G31CUwMLzCVwwDDjYlp6yFp441eE4ZZ08HOwA4we7eP4FvL7tZ6IIEVFv__kZUfodeUnFGi1dvrizPyZ1HJlXiCNlRw2Qgt26doQwgTjdKqPUEvcv5eRVyx9jk64ZRzITuxQT8u7wqkYGe8s7MfbPEx4Dhii7cJBu8e7iXGuR4YcvGLLYDLBDj5fHtQTutiA_bLsoY4wOidh-Du8c6nNWMfRjgy7BLDTS54gYD3U8ST3QHOcIf3vkyH7kv0bLRzhle_6in69uHy6_mn5urLx8_n768a1wpCGknbdmQUlLbUtXUcrjrXDUpL2SurrRx5NzhB-r5z0ulhZIx3TDLB-5FLAvwUvTtyt2u_wOAglGRns011tHRvovXm35fgJ3MTd0Yq0nVcVQA_AlyKOScYH72UmEMy5vrC_J9Mdb35-9tHz-8oqqA9CvZxrpHk23ndQzIT2LlMDzyhNGsYoZqoupvaYYT_BEyXnIk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men</title><source>Free IngentaConnect Backfiles</source><source>Open Access: PubMed Central</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Wolters Kluwer Open Access</source><source>Alma/SFX Local Collection</source><source>EZB Electronic Journals Library</source><creator>Luo, Qianqian ; Huang, Xiaojie ; Li, Lingling ; Ding, Yingying ; Mi, Guodong ; Scott, Sarah Robbins ; Zhao, Yan ; Rou, Keming ; He, Na ; Wu, Hao ; Wu, Zunyou</creator><creatorcontrib>Luo, Qianqian ; Huang, Xiaojie ; Li, Lingling ; Ding, Yingying ; Mi, Guodong ; Scott, Sarah Robbins ; Zhao, Yan ; Rou, Keming ; He, Na ; Wu, Hao ; Wu, Zunyou</creatorcontrib><description>A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000016375</identifier><identifier>PMID: 31335685</identifier><language>eng</language><publisher>United States: the Author(s). Published by Wolters Kluwer Health, Inc</publisher><subject>Adolescent ; Adult ; Area Under Curve ; Beijing - epidemiology ; Cohort Studies ; Decision Support Techniques ; HIV Infections - epidemiology ; HIV Infections - prevention & control ; HIV Infections - transmission ; Homosexuality, Male ; Humans ; Male ; Observational Study ; Reproducibility of Results ; Retrospective Studies ; Risk Assessment - methods ; Risk Factors ; ROC Curve ; Sexual and Gender Minorities - statistics & numerical data</subject><ispartof>Medicine (Baltimore), 2019-07, Vol.98 (29), p.e16375-e16375</ispartof><rights>the Author(s). Published by Wolters Kluwer Health, Inc.</rights><rights>Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4500-6144f21e79a1c4724378c8d7966b7a9a6f38dc50bb8c6c9df223826253bf360e3</citedby><cites>FETCH-LOGICAL-c4500-6144f21e79a1c4724378c8d7966b7a9a6f38dc50bb8c6c9df223826253bf360e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708837/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708837/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31335685$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luo, Qianqian</creatorcontrib><creatorcontrib>Huang, Xiaojie</creatorcontrib><creatorcontrib>Li, Lingling</creatorcontrib><creatorcontrib>Ding, Yingying</creatorcontrib><creatorcontrib>Mi, Guodong</creatorcontrib><creatorcontrib>Scott, Sarah Robbins</creatorcontrib><creatorcontrib>Zhao, Yan</creatorcontrib><creatorcontrib>Rou, Keming</creatorcontrib><creatorcontrib>He, Na</creatorcontrib><creatorcontrib>Wu, Hao</creatorcontrib><creatorcontrib>Wu, Zunyou</creatorcontrib><title>External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Area Under Curve</subject><subject>Beijing - epidemiology</subject><subject>Cohort Studies</subject><subject>Decision Support Techniques</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - prevention & control</subject><subject>HIV Infections - transmission</subject><subject>Homosexuality, Male</subject><subject>Humans</subject><subject>Male</subject><subject>Observational Study</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Sexual and Gender Minorities - statistics & numerical data</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkdtuFSEUhonR2G31CUwMLzCVwwDDjYlp6yFp441eE4ZZ08HOwA4we7eP4FvL7tZ6IIEVFv__kZUfodeUnFGi1dvrizPyZ1HJlXiCNlRw2Qgt26doQwgTjdKqPUEvcv5eRVyx9jk64ZRzITuxQT8u7wqkYGe8s7MfbPEx4Dhii7cJBu8e7iXGuR4YcvGLLYDLBDj5fHtQTutiA_bLsoY4wOidh-Du8c6nNWMfRjgy7BLDTS54gYD3U8ST3QHOcIf3vkyH7kv0bLRzhle_6in69uHy6_mn5urLx8_n768a1wpCGknbdmQUlLbUtXUcrjrXDUpL2SurrRx5NzhB-r5z0ulhZIx3TDLB-5FLAvwUvTtyt2u_wOAglGRns011tHRvovXm35fgJ3MTd0Yq0nVcVQA_AlyKOScYH72UmEMy5vrC_J9Mdb35-9tHz-8oqqA9CvZxrpHk23ndQzIT2LlMDzyhNGsYoZqoupvaYYT_BEyXnIk</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Luo, Qianqian</creator><creator>Huang, Xiaojie</creator><creator>Li, Lingling</creator><creator>Ding, Yingying</creator><creator>Mi, Guodong</creator><creator>Scott, Sarah Robbins</creator><creator>Zhao, Yan</creator><creator>Rou, Keming</creator><creator>He, Na</creator><creator>Wu, Hao</creator><creator>Wu, Zunyou</creator><general>the Author(s). Published by Wolters Kluwer Health, Inc</general><general>Wolters Kluwer Health</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20190701</creationdate><title>External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men</title><author>Luo, Qianqian ; Huang, Xiaojie ; Li, Lingling ; Ding, Yingying ; Mi, Guodong ; Scott, Sarah Robbins ; Zhao, Yan ; Rou, Keming ; He, Na ; Wu, Hao ; Wu, Zunyou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4500-6144f21e79a1c4724378c8d7966b7a9a6f38dc50bb8c6c9df223826253bf360e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Area Under Curve</topic><topic>Beijing - epidemiology</topic><topic>Cohort Studies</topic><topic>Decision Support Techniques</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - prevention & control</topic><topic>HIV Infections - transmission</topic><topic>Homosexuality, Male</topic><topic>Humans</topic><topic>Male</topic><topic>Observational Study</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Sexual and Gender Minorities - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Qianqian</creatorcontrib><creatorcontrib>Huang, Xiaojie</creatorcontrib><creatorcontrib>Li, Lingling</creatorcontrib><creatorcontrib>Ding, Yingying</creatorcontrib><creatorcontrib>Mi, Guodong</creatorcontrib><creatorcontrib>Scott, Sarah Robbins</creatorcontrib><creatorcontrib>Zhao, Yan</creatorcontrib><creatorcontrib>Rou, Keming</creatorcontrib><creatorcontrib>He, Na</creatorcontrib><creatorcontrib>Wu, Hao</creatorcontrib><creatorcontrib>Wu, Zunyou</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Qianqian</au><au>Huang, Xiaojie</au><au>Li, Lingling</au><au>Ding, Yingying</au><au>Mi, Guodong</au><au>Scott, Sarah Robbins</au><au>Zhao, Yan</au><au>Rou, Keming</au><au>He, Na</au><au>Wu, Hao</au><au>Wu, Zunyou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>98</volume><issue>29</issue><spage>e16375</spage><epage>e16375</epage><pages>e16375-e16375</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>A human immunodeficiency virus (HIV) risk assessment tool was previously developed for predicting HIV infection among men who have sex with men (MSM), but was not externally validated. We evaluated the tool's validity for predicting HIV infection in an independent cohort.The tool was assessed using data from a retrospective cohort study of HIV-negative adult MSM who were recruited in Beijing, China between January 2009 and December 2016.High-risk behaviors occurring within 6 months before the survey were evaluated. Area under curve (AUC) of the receiver operating character curve (ROC) was used to quantify discrimination performance; calibration curve and Hosmer-Lemeshow statistic were used for calibration performance valuation; and decision curve analysis (DCA) was used to evaluate clinical usage.One thousand four hundred forty two participants from the cohort were included in the analysis; 246 (17.1%) sero-converted during follow-up. External validation of the tool showed good calibration, the Hosmer-Lemeshow test showed no statistical difference between observed probability and tool-based predictive probability of HIV infection (X = 4.55, P = .80). The tool had modest discrimination ability (AUC = 0.63, 95% confidence interval [CI]: 0.61-0.66). The decision curve analysis indicated that implementing treatment measures based on the tool's predicative risk thresholds ranging from 10% to 30% might increase the net benefit of treatment when compared with treating all or no MSM.The HIV risk assessment tool can predict the actual risk of HIV infection well amongst MSM in China, but it has a moderate ability to discriminate those at high risk of HIV infection.</abstract><cop>United States</cop><pub>the Author(s). Published by Wolters Kluwer Health, Inc</pub><pmid>31335685</pmid><doi>10.1097/MD.0000000000016375</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0025-7974 |
ispartof | Medicine (Baltimore), 2019-07, Vol.98 (29), p.e16375-e16375 |
issn | 0025-7974 1536-5964 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6708837 |
source | Free IngentaConnect Backfiles; Open Access: PubMed Central; MEDLINE; DOAJ Directory of Open Access Journals; Wolters Kluwer Open Access; Alma/SFX Local Collection; EZB Electronic Journals Library |
subjects | Adolescent Adult Area Under Curve Beijing - epidemiology Cohort Studies Decision Support Techniques HIV Infections - epidemiology HIV Infections - prevention & control HIV Infections - transmission Homosexuality, Male Humans Male Observational Study Reproducibility of Results Retrospective Studies Risk Assessment - methods Risk Factors ROC Curve Sexual and Gender Minorities - statistics & numerical data |
title | External validation of a prediction tool to estimate the risk of human immunodeficiency virus infection amongst men who have sex with men |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T11%3A51%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=External%20validation%20of%20a%20prediction%20tool%20to%20estimate%20the%20risk%20of%20human%20immunodeficiency%20virus%20infection%20amongst%20men%20who%20have%20sex%20with%20men&rft.jtitle=Medicine%20(Baltimore)&rft.au=Luo,%20Qianqian&rft.date=2019-07-01&rft.volume=98&rft.issue=29&rft.spage=e16375&rft.epage=e16375&rft.pages=e16375-e16375&rft.issn=0025-7974&rft.eissn=1536-5964&rft_id=info:doi/10.1097/MD.0000000000016375&rft_dat=%3Cpubmed_cross%3E31335685%3C/pubmed_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/31335685&rfr_iscdi=true |