Evidence map›Paper›PMID 38798080›Full record

ArticleThe Journal of infectious diseases2024

Whispers in the Wind: Face Mask Sampling for Mycobacterium tuberculosis Detection in Children With Pulmonary Tuberculosis.

Lennard Meiwes, Irina Kontsevaya, Dumitru Chesov, Stela Kulciţkaia, Viola Dreyer, Doris Hillemann, Qiniso Dlamini, Caroline Williams, Michael Barer, Folke Brinkmann and 5 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Lennard MeiwesClinical Infectious Diseases, Research Centre Borstel, Borstel, Germany.ORCID 0009-0007-2818-3901
Irina KontsevayaClinical Infectious Diseases, Research Centre Borstel, Borstel, Germany.ORCID 0000-0003-3421-7550
Dumitru ChesovClinical Infectious Diseases, Research Centre Borstel, Borstel, Germany.
Stela KulciţkaiaDiscipline of Pneumology and Allergology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova.
Viola DreyerMolecular and Experimental Mycobacteriology Group, Research Center Borstel, Leibniz Lung Center, Borstel, Germany.
Doris HillemannNational Reference Center, Research Center Borstel, Leibniz Lung Center, Borstel, Germany.
Qiniso DlaminiGlobal TB Program, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA.
Caroline WilliamsDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom.
Michael BarerDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, United Kingdom.
Folke BrinkmannDepartment of Pediatrics, University Hospital of Schleswig-Holstein, University of Luebeck, Luebeck, Germany.
Renate KrügerDepartment of Pediatric Respiratory Medicine, Immunology and Critical Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Stephanie TheeDepartment of Pediatric Respiratory Medicine, Immunology and Critical Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-9090-7869
Alexander KayGlobal TB Program, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA.ORCID 0000-0001-5283-4697
Anna Maria MandalakasClinical Infectious Diseases, Research Centre Borstel, Borstel, Germany.
Christoph LangeClinical Infectious Diseases, Research Centre Borstel, Borstel, Germany.ORCID 0000-0002-9691-4741

Funding

Quantifiable stool-based TB PCR to Improve Diagnostics and Treatment MonitoringR01AI137527 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI MANDALAKAS, ANNA M · 2019 to 2022
$2.7M
Developing Clinical Prediction Tools to Define Strategies for Differentiated Service Delivery in Children and Adolescents Living with HIV in sub-Saharan Africa.K01TW011482 · FIC · BAYLOR COLLEGE OF MEDICINE · PI KAY, ALEXANDER WILLIAM · 2020 to 2024
$749k
DeutschesFIC NIH HHS K01 TW011482German Center for Infection Research TTU 02.709NIAID NIH HHS R01 AI137527NIH HHS R01AI137527Zentrum für Infektionsforschung TI 07.003
6 · The paper itself

Abstract

backgroundRecently, face mask sampling (FMS) confirmed detection of Mycobacterium tuberculosis DNA from exhaled breath in adults with tuberculosis. To date, no study has evaluated the use of FMS to detect pulmonary tuberculosis in children. We developed a method for FMS of M. tuberculosis-specific DNA in children and performed a clinical exploration to assess feasibility in children.

methodsFace masks were spiked, analyzed on GeneXpert-Ultra, quantitative polymerase chain reaction, and targeted next-generation sequencing. Children with pulmonary tuberculosis were asked to wear 3 modified FFP2 masks for 30 minutes as part of an exploratory clinical study.

resultsExperiments with H37Ra M. tuberculosis strain showed a limit of 95% detection of 3.75 colony-forming units (95% confidence interval, 4.85-3.11) on GeneXpert-Ultra. Ten children with pulmonary tuberculosis participated in the clinical study. M. tuberculosis-specific DNA was detected on none of the face masks.

conclusionsPediatric FMS has a low limit of detection for M. tuberculosis-specific DNA in vitro. However, M. tuberculosis DNA was not detected in any of 30 masks worn by children with pulmonary tuberculosis. This suggests that FMS in this form may not be more effective for detecting M. tuberculosis in children with tuberculosis than existing methods.

Indexed as

DNA, BacterialMasksMycobacterium tuberculosisTuberculosis, PulmonaryAdolescentChildChild, PreschoolFemaleHigh-Throughput Nucleotide SequencingHumansMaleDNA, Bacterialchildrendiagnosisface masksPCRtuberculosis

Identifiers

PMID38798080
PMCPMC11646618

What OpenQuestion holds

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Registered trials

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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.