{"id":1852,"date":"2025-11-18T11:59:00","date_gmt":"2025-11-18T10:59:00","guid":{"rendered":"https:\/\/decide-tb.com\/?p=1852"},"modified":"2025-11-19T09:03:24","modified_gmt":"2025-11-19T08:03:24","slug":"decide-tb-publicacao-na-plos-medicine","status":"publish","type":"post","link":"https:\/\/decide-tb.com\/pt-br\/decide-tb-publicacao-na-plos-medicine\/","title":{"rendered":"Decide TB Publica\u00e7\u00e3o na PLOS Medicine"},"content":{"rendered":"\n<div style=\"margin-left: 10%; width: 80%;\">\n<p style=\"font-size: 1.2em; margin-top: 2em; font-weight: bold;\"><strong>Retrospective individual participant data analysis assesses diagnostic accuracy of WHO algorithms for childhood tuberculosis<\/strong><\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em;\">\nIn 2023, 10.8 million people fell ill with tuberculosis (TB) and 1.25 million died, confirming TB as the world\u2019s leading infectious disease killer. Among them, an estimated 1.2 million were children, yet less than half received proper diagnosis and treatment.\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em;\">\nTo address this diagnostic gap, the World Health Organization (WHO) introduced in 2022 Treatment Decision Algorithms (TDAs) \u2014 simple, standardized clinical tools designed to help health workers identify children who should start TB treatment, especially in low-resource settings where access to advanced diagnostic tools, such as molecular or imaging tests, remains limited.\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em; font-weight: bold;\">\nA new international study, published in PLOS Medicine, provides the first large-scale external validation of these WHO algorithms. The research was conducted within the Decide TB project, funded by the European &#038; Developing Countries Clinical Trials Partnership (EDCTP), and coordinated by LMU Munich, Stellenbosch University, and the University of Bordeaux.\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em;\">\nThe analysis combined data from nearly 1,900 children with presumptive TB enrolled in four major paediatric studies across eleven countries in Africa and Asia (RaPaed-TB, Umoya, TB-Speed HIV, and TB-Speed Decentralization). The study assessed the diagnostic accuracy of two WHO TDAs\u2014one including chest X-ray (Algorithm A) and one based solely on clinical information (Algorithm B).\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em;\">\nResults show that both algorithms are highly sensitive, identifying most children who truly have TB (84% and 91%, respectively). However, their specificity\u2014the ability to correctly rule out TB\u2014remains moderate (51% and 31%), meaning that some children without TB would still be started on treatment. Performance was similar across key high-risk groups, including children under two years, those living with HIV, and those with severe malnutrition.\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 1em;\">\nThe study highlights the value of standardized clinical tools for rapid and equitable diagnosis of childhood TB, particularly at primary care level. It also emphasizes the need to improve specificity through the integration of novel diagnostic tools\u2014such as biomarkers and artificial intelligence\u2013assisted imaging\u2014to ensure more accurate treatment decisions and reduce unnecessary treatment initiation.\n<\/p>\n\n<p style=\"font-size: 1.2em; margin-top: 2em; font-weight: bold; color: orange;\">\n=> Link to PLOS Medicine Publication\n<\/p>\n<a href=\"https:\/\/doi.org\/10.1371\/journal.pmed.1004610\" rel=\"noopener\" target=\"_blank\" style=\"font-size: 1.2em; display: block; margin-top: 0em; text-decoration: underline;\">\nhttps:\/\/doi.org\/10.1371\/journal.pmed.1004610\n<\/a>\n\n<\/div>\n\n<img decoding=\"async\" class=\"size-medium wp-image-2266 alignright\" style=\"margin-left: 30%; width: 40%; margin-top: 2em;\" src=\"https:\/\/decide-tb.com\/wp-content\/uploads\/2025\/11\/PLOS-Medicine-logo_ok.png\" alt=\"\" \/>\n","protected":false},"excerpt":{"rendered":"<p>Retrospective individual participant data analysis assesses diagnostic accuracy of WHO algorithms for childhood tuberculosis In 2023, 10.8 million people fell ill with tuberculosis (TB) and 1.25 million died, confirming TB as the world\u2019s leading infectious disease killer. Among them, an estimated 1.2 million were children, yet less than half received proper diagnosis and treatment. To [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1846,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1852","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nao-categorizado"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Decide TB Publica\u00e7\u00e3o na PLOS Medicine | Decide TB<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/decide-tb.com\/pt-br\/decide-tb-publicacao-na-plos-medicine\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Decide TB Publica\u00e7\u00e3o na PLOS Medicine | Decide TB\" \/>\n<meta property=\"og:description\" content=\"Retrospective individual participant data analysis assesses diagnostic accuracy of WHO algorithms for childhood tuberculosis In 2023, 10.8 million people fell ill with tuberculosis (TB) and 1.25 million died, confirming TB as the world\u2019s leading infectious disease killer. Among them, an estimated 1.2 million were children, yet less than half received proper diagnosis and treatment. To [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/decide-tb.com\/pt-br\/decide-tb-publicacao-na-plos-medicine\/\" \/>\n<meta property=\"og:site_name\" content=\"Decide TB\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-18T10:59:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-19T08:03:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/decide-tb.com\/wp-content\/uploads\/2024\/11\/DecideTB_PLOS-Medicine_Visual.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"998\" \/>\n\t<meta property=\"og:image:height\" content=\"998\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Nicolas Koskas\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nicolas Koskas\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta 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