Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis
Smear-negative pulmonary tuberculosis (SN-PTB), which is common in HIV-infected patients, is difficult to diagnose using smear microscopy alone. In 2007, the WHO developed an algorithm to improve the diagnosis and management of smear-negative tuberculosis in HIV prevalent and resource constrained se...
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description | Smear-negative pulmonary tuberculosis (SN-PTB), which is common in HIV-infected patients, is difficult to diagnose using smear microscopy alone. In 2007, the WHO developed an algorithm to improve the diagnosis and management of smear-negative tuberculosis in HIV prevalent and resource constrained settings. Implementation of the algorithm required individuals with presumptive TB to be initially evaluated using two sputum microscopy examinations followed by clinical diagnosis that may include chest X-ray and antibiotic treatment in smear-negative individuals. Since that time, the WHO has endorsed several new tests for diagnosis of tuberculosis. However, it is unclear how the new tests perform when compared to the WHO 2007 algorithm in diagnosis of SN-PTB. Using meta-analysis study design, we summarized and compared the accuracy of Xpert® MTB/Rif assay (GeneXpert) and Microscopic Observation Drug Susceptibility assay (MODS), with the WHO 2007 algorithm in the diagnosis of SN-PTB.
A systematic review and meta-analysis of publications on GeneXpert, or MODS, or the WHO 2007 algorithm for diagnosis of SN-PTB, using culture as reference test was performed. Meta-Disc software was used to obtain pooled sensitivity and specificity of the diagnostic methods. Heterogeneity in the accuracy estimates was tested by reviewing the generated forest plots, sROC curves and the Spearman correlation coefficient of the logit of true positive rate versus the logit of false positive rate.
Twenty-four publications on all three diagnostic methods were meta-analyzed. The pooled sensitivity and specificity for detection of smear-negative pulmonary tuberculosis were 67% and 98% for GeneXpert, 73% and 91% for MODS, and 61% and 69% for WHO 2007 algorithm, respectively. The sensitivity of GeneXpert reduced from 67% to 54% when sub-group analysis of studies with patient HIV prevalence ≥ 30% was performed.
The GeneXpert, MODS, and the WHO algorithm have moderate to high accuracy for the diagnosis of SN-PTB. However, the accuracy of the tests is extremely variable. The setting and context under which the tests are conducted in addition to several other factors could explain this variability. There is therefore need to investigate these factors further. The information from these studies would inform the adoption and placement of these new tests. |
doi_str_mv | 10.1186/1471-2334-13-507 |
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A systematic review and meta-analysis of publications on GeneXpert, or MODS, or the WHO 2007 algorithm for diagnosis of SN-PTB, using culture as reference test was performed. Meta-Disc software was used to obtain pooled sensitivity and specificity of the diagnostic methods. Heterogeneity in the accuracy estimates was tested by reviewing the generated forest plots, sROC curves and the Spearman correlation coefficient of the logit of true positive rate versus the logit of false positive rate.
Twenty-four publications on all three diagnostic methods were meta-analyzed. The pooled sensitivity and specificity for detection of smear-negative pulmonary tuberculosis were 67% and 98% for GeneXpert, 73% and 91% for MODS, and 61% and 69% for WHO 2007 algorithm, respectively. The sensitivity of GeneXpert reduced from 67% to 54% when sub-group analysis of studies with patient HIV prevalence ≥ 30% was performed.
The GeneXpert, MODS, and the WHO algorithm have moderate to high accuracy for the diagnosis of SN-PTB. However, the accuracy of the tests is extremely variable. The setting and context under which the tests are conducted in addition to several other factors could explain this variability. There is therefore need to investigate these factors further. The information from these studies would inform the adoption and placement of these new tests.</description><identifier>ISSN: 1471-2334</identifier><identifier>EISSN: 1471-2334</identifier><identifier>DOI: 10.1186/1471-2334-13-507</identifier><identifier>PMID: 24172543</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Accuracy ; Adult ; Algorithms ; Bias ; Biomathematics ; Care and treatment ; Comparative analysis ; Diagnosis ; Female ; HIV ; Human immunodeficiency virus ; Humans ; Infektionsmedicin ; Klinisk laboratoriemedicin ; Klinisk medicin ; Male ; Medical research ; Medicin och hälsovetenskap ; Medicine, Experimental ; Medicinska och farmaceutiska grundvetenskaper ; Meta-analysis ; Methods ; Microscopy ; Middle Aged ; Mikrobiologi inom det medicinska området ; Mycobacterium ; Mycobacterium tuberculosis - genetics ; Mycobacterium tuberculosis - isolation & purification ; Patients ; Pulmonary tuberculosis ; Radiography, Thoracic ; Sensitivity and Specificity ; Sputum - microbiology ; Studies ; Tuberculosis ; Tuberculosis, Pulmonary - diagnosis ; Tuberculosis, Pulmonary - microbiology</subject><ispartof>BMC INFECTIOUS DISEASES, 2013-10, Vol.13 (1), p.507-507, Article 507</ispartof><rights>COPYRIGHT 2013 BioMed Central Ltd.</rights><rights>2013 Walusimbi et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2013 Walusimbi et al.; licensee BioMed Central Ltd. 2013 Walusimbi et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b806t-3689bf99f98e8ff3c77b029963e693cd4dc08cfdd66fd475d7e170a069eb30653</citedby><cites>FETCH-LOGICAL-b806t-3689bf99f98e8ff3c77b029963e693cd4dc08cfdd66fd475d7e170a069eb30653</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/PMC3833313/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833313/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24172543$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:127983053$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Walusimbi, Simon</creatorcontrib><creatorcontrib>Bwanga, Freddie</creatorcontrib><creatorcontrib>De Costa, Ayesha</creatorcontrib><creatorcontrib>Haile, Melles</creatorcontrib><creatorcontrib>Joloba, Moses</creatorcontrib><creatorcontrib>Hoffner, Sven</creatorcontrib><title>Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis</title><title>BMC INFECTIOUS DISEASES</title><addtitle>BMC Infect Dis</addtitle><description>Smear-negative pulmonary tuberculosis (SN-PTB), which is common in HIV-infected patients, is difficult to diagnose using smear microscopy alone. In 2007, the WHO developed an algorithm to improve the diagnosis and management of smear-negative tuberculosis in HIV prevalent and resource constrained settings. Implementation of the algorithm required individuals with presumptive TB to be initially evaluated using two sputum microscopy examinations followed by clinical diagnosis that may include chest X-ray and antibiotic treatment in smear-negative individuals. Since that time, the WHO has endorsed several new tests for diagnosis of tuberculosis. However, it is unclear how the new tests perform when compared to the WHO 2007 algorithm in diagnosis of SN-PTB. Using meta-analysis study design, we summarized and compared the accuracy of Xpert® MTB/Rif assay (GeneXpert) and Microscopic Observation Drug Susceptibility assay (MODS), with the WHO 2007 algorithm in the diagnosis of SN-PTB.
A systematic review and meta-analysis of publications on GeneXpert, or MODS, or the WHO 2007 algorithm for diagnosis of SN-PTB, using culture as reference test was performed. Meta-Disc software was used to obtain pooled sensitivity and specificity of the diagnostic methods. Heterogeneity in the accuracy estimates was tested by reviewing the generated forest plots, sROC curves and the Spearman correlation coefficient of the logit of true positive rate versus the logit of false positive rate.
Twenty-four publications on all three diagnostic methods were meta-analyzed. The pooled sensitivity and specificity for detection of smear-negative pulmonary tuberculosis were 67% and 98% for GeneXpert, 73% and 91% for MODS, and 61% and 69% for WHO 2007 algorithm, respectively. The sensitivity of GeneXpert reduced from 67% to 54% when sub-group analysis of studies with patient HIV prevalence ≥ 30% was performed.
The GeneXpert, MODS, and the WHO algorithm have moderate to high accuracy for the diagnosis of SN-PTB. However, the accuracy of the tests is extremely variable. The setting and context under which the tests are conducted in addition to several other factors could explain this variability. There is therefore need to investigate these factors further. The information from these studies would inform the adoption and placement of these new tests.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Bias</subject><subject>Biomathematics</subject><subject>Care and treatment</subject><subject>Comparative analysis</subject><subject>Diagnosis</subject><subject>Female</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infektionsmedicin</subject><subject>Klinisk laboratoriemedicin</subject><subject>Klinisk medicin</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine, Experimental</subject><subject>Medicinska och farmaceutiska grundvetenskaper</subject><subject>Meta-analysis</subject><subject>Methods</subject><subject>Microscopy</subject><subject>Middle Aged</subject><subject>Mikrobiologi inom det medicinska området</subject><subject>Mycobacterium</subject><subject>Mycobacterium tuberculosis - genetics</subject><subject>Mycobacterium tuberculosis - isolation & purification</subject><subject>Patients</subject><subject>Pulmonary tuberculosis</subject><subject>Radiography, Thoracic</subject><subject>Sensitivity and Specificity</subject><subject>Sputum - microbiology</subject><subject>Studies</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Pulmonary - diagnosis</subject><subject>Tuberculosis, Pulmonary - microbiology</subject><issn>1471-2334</issn><issn>1471-2334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>D8T</sourceid><recordid>eNqNk81u1DAURiMEomVgzwpZYgMSKXac2PEGqRqgrdRqJMrfznKc65mUJA52UphX4KlxOu0wQa1UZRHr-nxHV752FD0n-ICQnL0lKSdxQmkaExpnmD-I9relhzvrveiJ9xcYE54n4nG0l6SEJ1lK96M_Z9CrWLWqXvvKo94ibZtOOUD9CpDSenBKr5E16Aha-N6B69-gs8X7c6Ta8or5drxACcYcqXppXdWvGmSsQ2Wllq0dnSHrG1AubmGp-uoSUDfUjW2VW6N-KMDpoR7Bp9Ejo2oPz67_s-jLxw-f58fx6eLoZH54Ghc5Zn1MWS4KI4QROeTGUM15gRMhGAUmqC7TUuNcm7JkzJQpz0oOhGOFmYCCYpbRWRRvvP4XdEMhO1c1oRdpVSWvSz_CCmSWZCIoZ5G4k--cLf-FboIk4SKnOKMh-26TDUADpYa2d6qeKiY7bbWSS3spaU4pJaNgvhEUlb1DMN0J45Pj3OU4d0moDNciWF5dt-HszwF8L5vKa6hr1YIdfAgIzDORJOweKMtpniRX1pf_oRd2cOEqjVQmuAjnt0MtVQ2yao0NfepRKg8zmjKcEzJSB7dQ4SuhqbRtwVShPgm8ngQC08PvfqkG7-XJ-af7s4uvUxZvWO2s9w7M9qwJluOju-10X-wOeRu4eWX0L1c1Jlw</recordid><startdate>20131030</startdate><enddate>20131030</enddate><creator>Walusimbi, Simon</creator><creator>Bwanga, Freddie</creator><creator>De Costa, Ayesha</creator><creator>Haile, Melles</creator><creator>Joloba, Moses</creator><creator>Hoffner, Sven</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>20131030</creationdate><title>Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis</title><author>Walusimbi, Simon ; Bwanga, Freddie ; De Costa, Ayesha ; Haile, Melles ; Joloba, Moses ; Hoffner, Sven</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b806t-3689bf99f98e8ff3c77b029963e693cd4dc08cfdd66fd475d7e170a069eb30653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Bias</topic><topic>Biomathematics</topic><topic>Care and treatment</topic><topic>Comparative analysis</topic><topic>Diagnosis</topic><topic>Female</topic><topic>HIV</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Infektionsmedicin</topic><topic>Klinisk laboratoriemedicin</topic><topic>Klinisk medicin</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicin och hälsovetenskap</topic><topic>Medicine, Experimental</topic><topic>Medicinska och farmaceutiska grundvetenskaper</topic><topic>Meta-analysis</topic><topic>Methods</topic><topic>Microscopy</topic><topic>Middle Aged</topic><topic>Mikrobiologi inom det medicinska området</topic><topic>Mycobacterium</topic><topic>Mycobacterium tuberculosis - genetics</topic><topic>Mycobacterium tuberculosis - isolation & purification</topic><topic>Patients</topic><topic>Pulmonary tuberculosis</topic><topic>Radiography, Thoracic</topic><topic>Sensitivity and Specificity</topic><topic>Sputum - microbiology</topic><topic>Studies</topic><topic>Tuberculosis</topic><topic>Tuberculosis, Pulmonary - diagnosis</topic><topic>Tuberculosis, Pulmonary - microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Walusimbi, Simon</creatorcontrib><creatorcontrib>Bwanga, Freddie</creatorcontrib><creatorcontrib>De Costa, Ayesha</creatorcontrib><creatorcontrib>Haile, Melles</creatorcontrib><creatorcontrib>Joloba, Moses</creatorcontrib><creatorcontrib>Hoffner, Sven</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>BMC INFECTIOUS DISEASES</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Walusimbi, Simon</au><au>Bwanga, Freddie</au><au>De Costa, Ayesha</au><au>Haile, Melles</au><au>Joloba, Moses</au><au>Hoffner, Sven</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis</atitle><jtitle>BMC INFECTIOUS DISEASES</jtitle><addtitle>BMC Infect Dis</addtitle><date>2013-10-30</date><risdate>2013</risdate><volume>13</volume><issue>1</issue><spage>507</spage><epage>507</epage><pages>507-507</pages><artnum>507</artnum><issn>1471-2334</issn><eissn>1471-2334</eissn><abstract>Smear-negative pulmonary tuberculosis (SN-PTB), which is common in HIV-infected patients, is difficult to diagnose using smear microscopy alone. In 2007, the WHO developed an algorithm to improve the diagnosis and management of smear-negative tuberculosis in HIV prevalent and resource constrained settings. Implementation of the algorithm required individuals with presumptive TB to be initially evaluated using two sputum microscopy examinations followed by clinical diagnosis that may include chest X-ray and antibiotic treatment in smear-negative individuals. Since that time, the WHO has endorsed several new tests for diagnosis of tuberculosis. However, it is unclear how the new tests perform when compared to the WHO 2007 algorithm in diagnosis of SN-PTB. Using meta-analysis study design, we summarized and compared the accuracy of Xpert® MTB/Rif assay (GeneXpert) and Microscopic Observation Drug Susceptibility assay (MODS), with the WHO 2007 algorithm in the diagnosis of SN-PTB.
A systematic review and meta-analysis of publications on GeneXpert, or MODS, or the WHO 2007 algorithm for diagnosis of SN-PTB, using culture as reference test was performed. Meta-Disc software was used to obtain pooled sensitivity and specificity of the diagnostic methods. Heterogeneity in the accuracy estimates was tested by reviewing the generated forest plots, sROC curves and the Spearman correlation coefficient of the logit of true positive rate versus the logit of false positive rate.
Twenty-four publications on all three diagnostic methods were meta-analyzed. The pooled sensitivity and specificity for detection of smear-negative pulmonary tuberculosis were 67% and 98% for GeneXpert, 73% and 91% for MODS, and 61% and 69% for WHO 2007 algorithm, respectively. The sensitivity of GeneXpert reduced from 67% to 54% when sub-group analysis of studies with patient HIV prevalence ≥ 30% was performed.
The GeneXpert, MODS, and the WHO algorithm have moderate to high accuracy for the diagnosis of SN-PTB. However, the accuracy of the tests is extremely variable. The setting and context under which the tests are conducted in addition to several other factors could explain this variability. There is therefore need to investigate these factors further. The information from these studies would inform the adoption and placement of these new tests.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24172543</pmid><doi>10.1186/1471-2334-13-507</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Adult Algorithms Bias Biomathematics Care and treatment Comparative analysis Diagnosis Female HIV Human immunodeficiency virus Humans Infektionsmedicin Klinisk laboratoriemedicin Klinisk medicin Male Medical research Medicin och hälsovetenskap Medicine, Experimental Medicinska och farmaceutiska grundvetenskaper Meta-analysis Methods Microscopy Middle Aged Mikrobiologi inom det medicinska området Mycobacterium Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - isolation & purification Patients Pulmonary tuberculosis Radiography, Thoracic Sensitivity and Specificity Sputum - microbiology Studies Tuberculosis Tuberculosis, Pulmonary - diagnosis Tuberculosis, Pulmonary - microbiology |
title | Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis |
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