Evidence map›Paper›PMID 40135059›Full record

ArticleFrontiers in microbiology2025

Non-tuberculous mycobacteria isolates from patients with chronic pulmonary disease and no epidemiological relationship show sequence clusters through whole-genome sequencing.

Marc Rubio, Mariana Fernandez-Pittol, Sara Batista, Diego Martínez, Lorena San Nicolas, Elena Portell-Buj, Maria Antònia Busquets, Joan Estelrich, Julian Gonzalez-Martin, Ferran Navarro and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Marc Rubio *Servei de Microbiologia, Fundació de Gestió de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Mariana Fernandez-Pittol *Departament de Fonaments Clínics, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Sara BatistaDepartament de Fonaments Clínics, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Diego MartínezServei de Microbiologia, CDB, Hospital Clínic de Barcelona, Barcelona, Spain.
Lorena San NicolasServei de Microbiologia, CDB, Hospital Clínic de Barcelona, Barcelona, Spain.
Elena Portell-BujDepartament de Fonaments Clínics, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Maria Antònia BusquetsDepartment de Farmàcia, Tecnologia Farmacèutica i Físicoquímica, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona, Barcelona, Spain.
Joan EstelrichDepartment de Farmàcia, Tecnologia Farmacèutica i Físicoquímica, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona, Barcelona, Spain.
Julian Gonzalez-MartinDepartament de Fonaments Clínics, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Ferran NavarroServei de Microbiologia, Fundació de Gestió de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Griselda TudóDepartament de Fonaments Clínics, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Montserrat GarrigóServei de Microbiologia, Fundació de Gestió de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the genomic epidemiology of slow-growing mycobacteria (SGM) isolates from patients with bronchiectasis through whole-genome sequencing (WGS) and assess various bioinformatic tools to establish relationships between the isolates. Methods: A total of 46 SGM isolates from 37 patients with underlying chronic pulmonary disease, previously identified as Results: The three analyses revealed one cluster of Conclusion:

Indexed as

bioinformaticscluster analysismolecular epidemiologynon tuberculous mycobacteriawhole genome sequencing

Identifiers

PMID40135059
PMCPMC11933053

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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.