{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T05:59:07Z","timestamp":1790834347121,"version":"4.1.0"},"reference-count":31,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T00:00:00Z","timestamp":1741910400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["RIA2018CO\u20102514\u2010PROTID"],"award-info":[{"award-number":["RIA2018CO\u20102514\u2010PROTID"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Diabetes mellitus significantly increases the risk of tuberculosis, and active tuberculosis screening of people with diabetes mellitus has been advocated by WHO and other international bodies. This systematic review aimed to evaluate the accuracy of computer\u2010assisted detection for identifying pulmonary tuberculosis among people living with diabetes mellitus.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Medline, Embase, Scopus, Global Health, and Web of Science were searched from January 2010 to May 2024 using MeSH headings and keywords, supplemented with grey literature searches (Conference abstracts, Trial registries, <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/medrxiv.org\">MedRxiv.org<\/jats:ext-link>, Google Scholar). Studies evaluating computer\u2010assisted detection diagnostic accuracy for identifying tuberculosis in populations living with diabetes mellitus were included. Two researchers independently assessed titles, abstracts, and full texts, extracted data, and assessed the risk of bias using the QUADAS\u20102 instrument. Forest plots and Summary Receiver Operating Curves were generated using RevMan 5.4, and statistical pooling of studies was carried out in STATA v18 using the bivariate model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Five eligible studies, all conducted in Asia between 2013 and 2023, were identified, including a total of 1879 individuals with diabetes mellitus, of whom 391 were newly diagnosed with tuberculosis. Four different computer\u2010assisted detection software algorithms were used. The pooled sensitivity was 0.94 (95% CI: 0.85\u20130.97) and specificity was 0.77 (95% CI: 0.68\u20130.84). Area Under the receiver operating curve values varied from 0.7 (95% CI: 0.68\u20130.75) to 0.9 (95% CI: 0.91\u20130.96). False positive proportions ranged from 0.24% to 30.5%, while false negative proportions were 0%\u20133.2%. Overall heterogeneity was high (<jats:italic>i<\/jats:italic><jats:sup>2<\/jats:sup> 55% for sensitivity and 93% for specificity) but much lower for sensitivity among the three studies using the same computer\u2010assisted detection software (<jats:italic>i<\/jats:italic><jats:sup>2<\/jats:sup> 0% for sensitivity; 93% for specificity). The risk of bias of the five studies was generally very low, although detailed information about diabetes management was lacking.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Computer\u2010assisted detection tools show potential in screening people living with diabetes for active tuberculosis and appear to show good sensitivity at the thresholds indicated, but data are scarce and performance varies across settings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Review Registration<\/jats:title><jats:p>The protocol for this review was prespecified and published in PROSPERO (registration number CRD42024523384).<\/jats:p><\/jats:sec>","DOI":"10.1111\/tmi.14103","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T08:49:02Z","timestamp":1741942142000},"page":"323-331","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Accuracy of computer\u2010aided chest x\u2010ray interpretation for tuberculosis screening in people with diabetes mellitus: A systematic review"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6431-6403","authenticated-orcid":false,"given":"Reagan Daniel","family":"Emoru","sequence":"first","affiliation":[{"name":"Department of Internal Medicine College of Health Sciences, Makerere University  Kampala Uganda"},{"name":"School of Health &amp; Medical Sciences Population Health Research Institute, City St. George's University of London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucy Elauteri","family":"Mrema","sequence":"additional","affiliation":[{"name":"National Institute for Medical Research  Mbeya Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nyanda Elias","family":"Ntinginya","sequence":"additional","affiliation":[{"name":"National Institute for Medical Research  Mbeya Tanzania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene Andia","family":"Biraro","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine College of Health Sciences, Makerere University  Kampala Uganda"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reinout","family":"van Crevel","sequence":"additional","affiliation":[{"name":"Radbound University Medical Centers  Nijmegen The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia A.","family":"Critchley","sequence":"additional","affiliation":[{"name":"School of Health &amp; Medical Sciences Population Health Research Institute, City St. George's University of London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,3,14]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-023-17495-6"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0187967"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0050152"},{"key":"e_1_2_10_5_1","unstructured":"IDF Diabetes Atlas.Home Resources diabetes L with Acknowledgement FAQs Contact et al [Internet] [cited 2024 Feb 17]. 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