Evidence map›Paper›PMID 40102277›Full record

ArticleScientific reports2025

Diagnostic accuracy of screening and diagnostic tests used in a state-wide tuberculosis prevalence survey in India.

Prathiksha Giridharan, Leeberk Raja Inbaraj, Asha Frederick, Sriram Selvaraju, Balaji Ramraj, Kannan Thiruvengadam, Bella Davaleenal Daniel, Chandrasekaran Padmapriyadarsini

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Prathiksha GiridharanDepartment of Epidemiology, National Institute for Research in Tuberculosis Chennai, Chennai, India.
Leeberk Raja InbarajDepartment of Clinical Research, ICMR- National Institute for Research in Tuberculosis, Chennai, India. leeberk2003@gmail.com.
Asha FrederickDirectorate of Medical and Rural Health Services, Chennai, Tamil Nadu, India.
Sriram SelvarajuDepartment of Epidemiology, National Institute for Research in Tuberculosis Chennai, Chennai, India.
Balaji RamrajDepartment of Clinical Research, ICMR- National Institute for Research in Tuberculosis, Chennai, India.
Kannan ThiruvengadamDepartment of Statistics, ICMR- National Institute for Research in Tuberculosis, Chennai, India.
Bella Davaleenal DanielDepartment of Clinical Research, ICMR- National Institute for Research in Tuberculosis, Chennai, India.
Chandrasekaran PadmapriyadarsiniDepartment of Clinical Research, ICMR- National Institute for Research in Tuberculosis, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevalence surveys and active case findings for tuberculosis (TB) typically use symptoms and Chest X-ray for screening and a diagnostic test for microbiological confirmation. We report the performance of screening and diagnostic tests from a state-wide prevalence survey in India. We screened 130,932 individuals using chest X-ray (CXR) and symptom checklist. Sputum samples were obtained from eligible participants and subjected to Xpert/MTB RIF, smear microscopy, and culture. Cough over two weeks had higher sensitivity (41.6%, 95% CI: 31.6-52.1) and lower specificity (72.8%, 95% CI: 72.1-73.5) among all the symptoms. The sensitivity and specificity of abnormal CXR were 86.4% (95% CI:77.9-92.5) and 42.12% (95% CI, 41.3-42.8), respectively. Xpert/MTB RIF in the reference laboratory had the highest sensitivity (96.55% 95% CI: 88.0-99.5), and smear microscopy had the highest specificity (99.7% 95% CI: 99.6-99.8). The combined sensitivity and specificity of Xpert MTB/RIF along symptom screening and CXR were 97.9% (95% CI:92.6-99.7) and 4.9% (95% CI:4.67-5.33), respectively. The mobile van Xpert MTB/RIF was found to be highly specific (99.3%). We recommend a diagnostic algorithm consisting of symptom screening and CXR followed by WHO-recommended rapid molecular assays (mWRD) for future prevalence surveys and active case finding.

Indexed as

Diagnostic Tests, RoutineMass ScreeningTuberculosisTuberculosis, PulmonaryAdolescentAdultAgedFemaleHumansIndiaMaleMiddle AgedMycobacterium tuberculosisPrevalenceSensitivity and SpecificitySputumActive case findingDiagnostic test accuracyPrevalence surveysXpert MTB/RIF

Identifiers

PMID40102277
PMCPMC11920222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.