Evidence map›Paper›PMID 38965482›Full record

ArticleBMC infectious diseases2024

Diagnostic accuracy of the Xpert

Togolani Maya, Aman Wilfred, Clara Lubinza, Saidi Mfaume, Maryjeska Mafie, Daphne Mtunga, Amri Kingalu, Nicodem Mgina, Pammla Petrucka, Basra E Doulla and 3 more

Abstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 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.

  1. Article
  2. Article
  3. A Comprehensive Review of Genetic Mechanisms ofInfection and drug resistance · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Cellular and Molecular Network Characteristics ofInternational journal of molecular sciences · 2024
    Article
  8. Article
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

13 authors.

Togolani MayaCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Aman WilfredMuhimbili Research Centre, National Institute for Medical Research, Dar es Salaam, Tanzania.
Clara LubinzaMuhimbili Research Centre, National Institute for Medical Research, Dar es Salaam, Tanzania.
Saidi MfaumeCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Maryjeska MafieCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Daphne MtungaCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Amri KingaluCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Nicodem MginaCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Pammla PetruckaCollege of Nursing, University of Saskatchewan, Saskatoon, Canada.
Basra E DoullaCentral TB Reference Laboratory, Dar es Salaam, Tanzania.
Esther NgadayaMuhimbili Research Centre, National Institute for Medical Research, Dar es Salaam, Tanzania.
Sayoki G MfinangaMuhimbili Research Centre, National Institute for Medical Research, Dar es Salaam, Tanzania.
Nicholaus P MnyambwaMuhimbili Research Centre, National Institute for Medical Research, Dar es Salaam, Tanzania. lodnicho@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly diagnosis of tuberculosis (TB) and universal access to drug-susceptibility testing (DST) are critical elements of the WHO End TB Strategy. Current rapid tests (e.g., Xpert

methodsWe conducted a diagnostic accuracy study to evaluate a new automated Xpert MTB/XDR 10-colour assay for rapid detection of Isoniazid and second-line drugs, including ethionamide, fluoroquinolones, and injectable drugs (Amikacin, Kanamycin, and Capreomycin). Positive Xpert MTB/RIF respiratory specimens were prospectively collected through routine diagnosis and surveillance of drug resistance at the Central TB Reference Laboratory in Tanzania. Specimens were tested by both Xpert XDR assay and LPA against culture-based phenotypic DST as the reference standard.

findingsWe analysed specimens from 151 TB patients with a mean age (SD) of 36.2 (12.7) years. The majority (n = 109, 72.2%) were males. The sensitivity for Xpert MTB/XDR was 93.5% (95% CI, 87.4-96.7); for Isoniazid, 96.6 (95% CI, 92.1-98.6); for Fluoroquinolone, 98.7% (95% Cl 94.8-99.7); for Amikacin, 96.6%; and (95% CI 92.1-98.6) for Ethionamide. Ethionamide had the lowest specificity of 50% and the highest was 100% for Fluoroquinolone. The diagnostic performance was generally comparable to that of LPA with slight variations between the two assays. The non-determinate rate (i.e., invalid M. tuberculosis complex detection) of Xpert MTB/XDR was 2·96%.

conclusionThe Xpert MTB/XDR demonstrated high sensitivity and specificity for detecting resistance to Isoniazid, Fluoroquinolones, and injectable agents. This assay can be used in clinical settings to facilitate rapid diagnosis of mono-isoniazid and extensively drug-resistant TB.

Indexed as

Antitubercular AgentsIsoniazidMicrobial Sensitivity TestsMycobacterium tuberculosisSensitivity and SpecificityAdolescentAdultAgedFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesProspective StudiesTanzaniaTuberculosis, Multidrug-ResistantAntitubercular AgentsIsoniazidDiagnosisDrug-resistant TBLine Probe Assay (LPA)Tuberculosis (TB)Xpert MTB/XDR

Identifiers

PMID38965482
PMCPMC11229014

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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.