Evidence map›Paper›PMID 33164243›Full record

SynthesisTropical medicine & international health : TM & IH2021

Diagnostic accuracy of Xpert MTB/RIF for tuberculous meningitis: systematic review and meta-analysis.

Adrian V Hernandez, Laryssa de Laurentis, Isadora Souza, Marcelo Pessanha, Priyaleela Thota, Yuani M Roman, Joshuan Barboza-Meca, David R Boulware, Jose E Vidal

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Tropical medicine & international health : TM & IH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. The Role of GeneXpertTropical medicine and infectious disease · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. 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

9 authors at 4 institutions in 3 countries.

Adrian V HernandezUniversity of Connecticut/Hartford Hospital Evidence-based Practice Center, Hartford, CT, USA.
Laryssa de LaurentisDepartment of Infectious Diseases, Instituto de Infectologia Emílio Ribas, São Paulo, Brazil.
Isadora SouzaDepartment of Infectious Diseases, Instituto de Infectologia Emílio Ribas, São Paulo, Brazil.
Marcelo PessanhaDepartment of Infectious Diseases, Instituto de Infectologia Emílio Ribas, São Paulo, Brazil.
Priyaleela ThotaHemex Health Inc., Portland, OR, USA.
Yuani M RomanUniversity of Connecticut/Hartford Hospital Evidence-based Practice Center, Hartford, CT, USA.
Joshuan Barboza-MecaVicerrectorado de Investigación, Universidad San Ignacio de Loyola (USIL), Lima, Peru.
David R BoulwareDepartment of Medcine, University of Minnesota, Minneapolis, MN, USA.
Jose E VidalDepartment of Neurology, Instituto de Infectologia Emílio Ribas, São Paulo, Brazil.
Instituto de Infectologia Emílio Ribas · BRUniversidad San Ignacio de Loyola · PEUniversity of Connecticut · USUniversity of Minnesota · US

Funding

Improving Diagnostics and Neurocognitive Outcomes in HIV/AIDS-related MeningitisR01NS086312 · NINDS · UNIVERSITY OF MINNESOTA · PI David R Boulware, David Bisagaya Meya · 2013 to 2026
$8.3M
FIC NIH HHSNINDS NIH HHS R01 NS086312
6 · The paper itself

Abstract

objectiveThis systematic review evaluated the diagnostic accuracy of Xpert MTB/RIF to detect tuberculous meningitis (TBM).

methodsPubMed and five other databases were systematically searched through March 2019. All studies evaluating diagnostic accuracy of Xpert MTB/RIF on cerebrospinal fluid (CSF) samples were included. Reference standards were definitive or definite plus probable TBM. The quality of studies was assessed by the QUADAS-2 tool. We performed bivariate random-effects meta-analysis and calculated summary diagnostic statistics.

resultsWe identified 30 studies (n = 3972 participants), including 5 cohort studies and 25 cross-sectional studies. Reference standards were definite TB (n = 28 studies) or definite plus probable TBM (n = 6 studies). The pooled Xpert MTB/RIF sensitivity was 85% (95% CI, 70-93%), and specificity was 98% (95% CI, 97-99%) with a negative likelihood ratio of 0.15 (95% CI, 0.04-0.27) for definite TBM. For probable TBM cases, pooled sensitivity was 81% (95% CI, 66-90%), and specificity was 99% (95% CI, 97-99%). For both reference standard types, meta-analyses showed a C-statistic area under the curve of 0.98. The QUADAS-2 tool revealed low risk of bias as well as low concerns regarding applicability. Methodological heterogeneity was high among studies.

conclusionsXpert MTB/RIF showed high accuracy for TBM diagnosis, but a negative Xpert MTB/RIF test does not rule out TBM. Repeat Xpert testing may be necessary. In clinical practice, Xpert MTB/RIF adds speed and sensitivity when compared to classic TBM diagnostic methods or previous commercial nucleic acid amplification techniques. More studies and better strategies for rapidly confirming a diagnosis of TBM in children are urgently needed.

Indexed as

Antibiotics, AntitubercularHumansMycobacterium tuberculosisNucleic Acid Amplification TechniquesPredictive Value of TestsReproducibility of ResultsRifampinTuberculosis, MeningealAntibiotics, AntitubercularRifampindiagnosissystematic reviewtuberculosisTuberculous meningitisXpert MTB/RIF

Identifiers

PMID33164243
PMCPMC7902353
OpenAlexW3098700753

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.