Evidence map›Paper›PMID 31847834›Full record

ArticleBMC infectious diseases2019

Clinical relevance of pulmonary non-tuberculous mycobacterial isolates in three reference centres in Belgium: a multicentre retrospective analysis.

Yannick Vande Weygaerde, Nina Cardinaels, Peter Bomans, Taeyang Chin, Jerina Boelens, Emmanuel André, Eva Van Braeckel, Natalie Lorent

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  4. Efficacies of sequenced monotherapies ofbioRxiv : the preprint server for biology · 2025
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  12. Growing from common ground: nontuberculous mycobacteria and bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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  18. Observational
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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 at 3 institutions in 1 country.

Yannick Vande WeygaerdeDepartment of Respiratory Medicine, Ghent University Hospital, Corneel Heymanslaan 10, B9000, Ghent, Belgium. yannick.vandeweygaerde@ugent.be.ORCID http://orcid.org/0000-0002-8156-9420
Nina CardinaelsDepartment of Respiratory Diseases, University Hospitals Leuven, Herestraat 49, B3000, Leuven, Belgium.
Peter BomansDepartment of Pneumology, Antwerp Hospital Network Stuivenberg, Lange Beeldekensstraat 267, B2060, Antwerp, Belgium.
Taeyang ChinDepartment of Respiratory Medicine, Ghent University Hospital, Corneel Heymanslaan 10, B9000, Ghent, Belgium.
Jerina BoelensDepartment of Laboratory Medicine, Department of Clinical Chemistry, Microbiology and Immunology, Ghent University Hospital, Corneel Heymanslaan 10, B9000, Ghent, Belgium.
Emmanuel AndréLaboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, University Hospitals Leuven, Herestraat 49, Leuven, B3000, Belgium.
Eva Van BraeckelDepartment of Respiratory Medicine, Ghent University Hospital, Corneel Heymanslaan 10, B9000, Ghent, Belgium.
Natalie LorentDepartment of Respiratory Diseases, University Hospitals Leuven, Herestraat 49, B3000, Leuven, Belgium.
Ghent University Hospital · BEKU Leuven · BEZiekenhuisnetwerk Antwerpen Stuivenberg · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAssessing the clinical relevance of non-tuberculous mycobacteria (NTM) isolated from respiratory samples can be challenging. The epidemiology and pathogenicity of NTM species vary geographically. We aimed to outline the clinical relevance and associated radiological patterns of NTM species isolated in Belgium.

methodsWe performed a retrospective multicentre analysis of all patients identified from the laboratory database with > 1 respiratory sample growing NTM from January 2010 through December 2017. We collected clinical, radiological and microbiological data through medical record review and assessed clinical relevance according to ATS/IDSA criteria for NTM pulmonary disease (NTM-PD).

resultsOf the 384 unique patients, 60% were male, 56% had a smoking history and 61% had pre-existing lung disease. Mycobacterium avium complex (MAC), M. gordonae and M. xenopi were the most frequently isolated species: 53, 15 and 8% respectively. 43% of patients met ATS/IDSA criteria, of whom 28% presented with fibrocavitary disease. Weight loss, fever, nodular bronchiectatic and fibrocavitary lesions on chest CT, and a positive acid-fast bacilli (AFB) stain were significantly associated with NTM-PD. The species with the highest pathogenic potential were M. abscessus (11/12), M. malmoense (6/7) and M. intracellulare (41/64).

conclusionIn our study, MAC was the most commonly isolated NTM species, but M. abscessus and M. malmoense showed the highest probability of being clinically relevant. Clinical relevance varied not only by species but also by radiological findings on chest CT and AFB staining. Clinicians should consider these elements in their treatment decision making. Prospective data including clinical outcome are needed to provide more robust evidence.

Indexed as

AgedBelgiumBronchiectasisCystic FibrosisDiagnostic Tests, RoutineDisease SusceptibilityFemaleHumansMaleMiddle AgedMycobacterium avium ComplexMycobacterium Infections, NontuberculousPulmonary Disease, Chronic ObstructiveRetrospective StudiesTomography, X-Ray ComputedEpidemiologyNon-tuberculous mycobacterial pulmonary disease (NTM-PD)Non-tuberculous mycobacteria (NTM)Radiology

Identifiers

PMID31847834
PMCPMC6918577
OpenAlexW2995259988

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.