Evidence map›Paper›PMID 40675164›Full record

Observational studyThe Lancet. Microbe2025

Blood RNA biomarkers and C-reactive protein for triage of adult patients with tuberculosis lymphadenitis and pericarditis in South Africa: a single-centre, prospective, observational, diagnostic accuracy study.

Tiffeney Mann, Stephanie Minnies, Rishi K Gupta, Byron W P Reeve, Georgina Nyawo, Zaida Palmer, Charissa Naidoo, Anton Doubell, Alfonso Pecoraro, Thadathilankal-Jess John and 5 more

Abstract readObservational Study
In one paragraph

Observational study in The Lancet. Microbe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Tiffeney MannDivision of Infection and Immunity, University College London, London, UK.
Stephanie MinniesDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Rishi K GuptaUCL Respiratory, Division of Medicine, University College London, London, UK. Electronic address: gtheron@sun.ac.za.
Byron W P ReeveDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Georgina NyawoDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Zaida PalmerDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Charissa NaidooDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Anton DoubellDepartment of Medicine, Division of Cardiology, Stellenbosch University and Tygerberg Academic Hospital, Cape Town, South Africa.
Alfonso PecoraroDepartment of Medicine, Division of Cardiology, Stellenbosch University and Tygerberg Academic Hospital, Cape Town, South Africa.
Thadathilankal-Jess JohnDepartment of Medicine, Division of Cardiology, Stellenbosch University and Tygerberg Academic Hospital, Cape Town, South Africa.
Pawel SchubertNational Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa; Division Anatomical Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Claire J CalderwoodDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Aneesh ChandranDivision of Infection and Immunity, University College London, London, UK; Institute of Dentistry, Queen Mary University London, London, UK.
Grant TheronDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Mahdad NoursadeghiDivision of Infection and Immunity, University College London, London, UK. Electronic address: m.noursadeghi@ucl.ac.uk.

Funding

The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Kara M Palamountain · 2018 to 2026
$24.0M
Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
HIV and Mycobacterial Disease in MaliD43TW010350 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI MAIGA, ALMOUSTAPHA ISSIAKA, MURPHY, ROBERT LEO · 2016 to 2025
$3.0M
Pre- and post-treatment lung microbiota, metabolome and immune signatures at the site of disease in patients with active pulmonary tuberculosisR01AI136894 · NIAID · STELLENBOSCH UNIVERSITY · PI THERON, GRANT DE VOS · 2019 to 2023
$678k
FIC NIH HHS D43 TW010350NIAID NIH HHS R01 AI136894NIAID NIH HHS U01 AI152087NIBIB NIH HHS U54 EB027049South African Medical Research Council MRC-RFA-IFSP-01-2013Wellcome TrustWellcome Trust 207511/Z/17/Z
6 · The paper itself

Abstract

backgroundData on the diagnostic accuracy of blood RNA biomarker signatures for extrapulmonary tuberculosis are scarce. We aimed to address this question among people investigated for tuberculosis lymphadenitis and tuberculosis pericarditis.

methodsThis prospective, observational, diagnostic accuracy study was done at a tertiary hospital in Cape Town, South Africa. We enrolled consecutive symptomatic adults (aged 18 years or older) with presumptive tuberculosis lymphadenitis (Jan 25, 2017, to Oct 9, 2019) or tuberculosis pericarditis (Nov 24, 2016, to Oct 28, 2019). We used microbiological testing of samples from the site of disease as the reference standard. We evaluated the diagnostic accuracy of seven previously reported blood RNA signatures by area under the receiver operating characteristic curve (AUROC) and sensitivity and specificity at prespecified thresholds using two SDs above the mean of a healthy reference control group, benchmarked against blood C-reactive protein and WHO target product profile for a tuberculosis triage test. Decision curve analysis was used to evaluate clinical utility of the best-performing blood RNA signature and C-reactive protein.

findingsThe pooled cohort included 440 individuals, 374 of whom (275 with lymphadenitis and 99 with pericarditis) had at least one microbiological test from the site of disease, blood C-reactive protein, and RNA measurements available and were included in the analysis. 181 (48%) participants were female and 193 (52%) were male. The diagnostic accuracy of blood RNA signatures was similar across patients with lymphadenitis and pericarditis. In pooled analysis of both cohorts, all RNA signatures had similar discrimination, with AUROC point estimates ranging from 0·77 (95% CI 0·72-0·82) to 0·82 (0·77-0·86), and greater than that of C-reactive protein (0·61 [0·56-0·67]). The best-performing signature (Roe3) did not meet the WHO target product profile benchmark for a triage test. At the prespecified threshold, Roe3 had 78% (95% CI 72-83) sensitivity and 69% (62-75) specificity; C-reactive protein at a threshold of 10 mg/L had 83% (77-87) sensitivity and 35% (29-43) specificity. In this setting, decision curve analysis showed that Roe3 offered greater net benefit than other approaches for services aiming to reduce the number needed to investigate with confirmatory testing to fewer than four to identify each individual with tuberculosis.

interpretationOur results suggest RNA biomarkers show better accuracy and clinical utility than C-reactive protein to trigger confirmatory tuberculosis testing in patients with tuberculosis lymphadenitis and tuberculosis pericarditis, but still fall short of the WHO target product profile for tuberculosis triage tests.

fundingSouth African Medical Research Council, European and Developing Countries Clinical Trials Partnership 2, National Institutes of Health/National Institute of Allergy and Infectious Diseases, Wellcome Trust, National Institute for Health and Care Research, and Royal College of Physicians.

Indexed as

BiomarkersC-Reactive ProteinPericarditis, TuberculousRNATriageTuberculosis, Lymph NodeAdolescentAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesROC CurveSensitivity and SpecificityBiomarkersC-Reactive ProteinRNA

Identifiers

PMID40675164
PMCPMC7619260

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.