Evidence map›Paper›PMID 39058018›Full record

ArticleJournal of clinical microbiology2024

Performance evaluation of the Xpert MTB/XDR test for the detection of drug resistance to

Shaheed Vally Omar, Gail Louw, Farzana Ismail, Xiaohong Liu, Dumsani Ngcamu, Thabisile Gwala, Minty van der Meulen, Lavania Joseph

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Shaheed Vally OmarCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-6983-1636
Gail LouwCepheid (PTY) LTD, Johannesburg, South Africa.ORCID 0009-0002-2747-1702
Farzana IsmailCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-3070-9806
Xiaohong LiuCepheid, Sunnyvale, California, USA.
Dumsani NgcamuCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0002-9402-8615
Thabisile GwalaCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0002-7668-1178
Minty van der MeulenCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.
Lavania JosephCentre for Tuberculosis, National TB Reference Laboratory, National Institute for Communicable Diseases, a division of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0003-0734-7149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-resistant tuberculosis (TB) poses a significant public health concern in South Africa due to its complexity in diagnosis, treatment, and management. This study assessed the diagnostic performance of the Xpert MTB/XDR test for detecting drug resistance in patients with TB by using archived sputum sediments. This study analyzed 322 samples collected from patients diagnosed with TB between 2016 and 2019 across South Africa, previously characterized by phenotypic and genotypic methods. The Xpert MTB/XDR test was evaluated for its ability to detect resistance to isoniazid (INH), ethionamide (ETH), fluoroquinolones (FLQ), and second-line injectable drugs (SLIDs) compared with phenotypic drug susceptibility testing (pDST) and whole-genome sequencing (WGS). Culture, Xpert MTB/RIF Ultra, and Xpert MTB/RIF (G4) tests were performed to determine sensitivity and agreement with this test for TB detection. The sensitivities using a composite reference standard, pDST, and sequencing were >90% for INH, FLQ, amikacin (AMK), kanamycin (KAN), and capreomycin (CAP) resistance, meeting the WHO target product profile criteria for this class. A lower sensitivity of 65.9% (95% CI: 57.1-73.6) for ETH resistance was observed. The Xpert MTB/XDR showed a sensitivity of 98.3% (95% CI: 96.1-99.3) and specificity of 100% (95% CI: 86.7-100) compared with culture, a positive percent agreement (PPA) of 98.8% (95% CI: 93.7-99.8) and negative percent agreement (NPA) of 100.0% (95% CI: 78.5-100.0) compared with G4, and a PPA of 99.5% (95% CI: 97.3-99.9) and NPA of 100.0% (95% CI: 78.5-100.0) compared with Xpert MTB/RIF Ultra for detecting

Indexed as

Antitubercular AgentsMicrobial Sensitivity TestsMycobacterium tuberculosisSensitivity and SpecificityDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisHumansMolecular Diagnostic TechniquesSouth AfricaSputumTuberculosis, Multidrug-ResistantWhole Genome SequencingAntitubercular Agentsdiagnosticdrug-resistantmolecularTBXDR

Identifiers

PMID39058018
PMCPMC11323472

What OpenQuestion holds

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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 OpenQuestion graph.