Evidence map›Paper›PMID 37458336›Full record

ArticleRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia2023

[Analysis of the incidence and epidemiology of non-tuberculous mycobacterial infections in the health area III of Aragón].

T Herrero, M I Sanjoaquin, M Lafuente, A E Monje-López, L M Cabrera, M Betrán, A M Camón

Open access · diamondAbstract readEnglish Abstract
In one paragraph

Article in Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

T HerreroTina Herrero Jordán, Área de Neumología, Hospital Reina Sofía de Tudela, Carretera de Tarazona, Km. 4, 31500 Tudela, Navarra. Spain. tinaherreroj@gmail.com.
M I Sanjoaquin
M Lafuente
A E Monje-López
L M Cabrera
M Betrán
A M Camón
Hospital Universitario Reina Sofía · ESUniversidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main objective of our investigation was to know the incidence and epidemiology of non-tuberculous mycobacteria (NTM) in our area and the prevalence of comorbidities in patients with MNT infection. As secondary objectives, we studied the distribution by species of MNT, the forms of disease and the type of sample used for its diagnosis.

methodsA retrospective study was carried out in which all the isolates of mycobacteria carried out by the microbiology laboratory of the Hospital Clínico Universitario Lozano Blesa of Zaragoza during the period between January 1, 2011 and December 31, 2018 were included.

resultsA total of 533 mycobacteria were isolated, of which 295 (55.35%) were tuberculosis (MTB) and 238 (44.65%) were MNT. Of the whole MNT isolates, only 15.54% were considered clinically significant. Twenty-one species were identified being the most frequent: M. gordonae (26.89%), M. fortuitum (19.75%) and M. avium (16.39%). 32.72% of the MNT isolates were found in people over 70 years of age.

conclusionsWe can confirm that the reported number of MNT isolates in our area is higher than in previous periods. MNT infection is more common in men and those older than 70 years. The epidemiology, especially the risk factors, of MNT disease is changing.

Indexed as

MycobacteriumMycobacterium Infections, NontuberculousAgedAged, 80 and overHumansIncidenceMaleNontuberculous MycobacteriaRetrospective StudiesepidemiologyMNTnontuberculous mycobacteria

Identifiers

PMID37458336
PMCPMC10586744
OpenAlexW4384525449

What OpenQuestion holds

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LicenceCC BY-NC
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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.