Evidence map›Paper›PMID 41882567›Full record

SynthesisBMC infectious diseases2026

Prevalence of non-tuberculous mycobacteria in various regions of the Russian Federation.

Platon Eliseev, Alexandra Bayrakova, Diana Vakhrusheva, Anastasia Kazyulina, Anastasia Samoilova, Irina Vasilieva

Abstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2026. 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
–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

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

6 authors.

Platon EliseevFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia. EliseevPI@nmrc.ru.
Alexandra BayrakovaFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia.
Diana VakhrushevaFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia.
Anastasia KazyulinaFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia.
Anastasia SamoilovaFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia.
Irina VasilievaFederal State Budgetary Institution "National Medical Research Center of Phthisiopulmonology and Infectious Diseases" of the Ministry of Health of the Russian Federation, Moscow, Russia.

Funding

Ministry of Health of the Russian Federation 123022100022-1
6 · The paper itself

Abstract

backgroundNon-tuberculous mycobacteria (NTM) are increasingly recognized as significant pathogens causing pulmonary and extrapulmonary diseases worldwide, including Russia. Despite a rising incidence, comprehensive data on the geographic distribution and species diversity of NTM across Russia remain limited. This study aims to analyze the prevalence and NTM species diversity in various Russian regions, highlighting regional variability and diagnostic challenges.

methodsA systematic review and analysis of published data and regional studies on NTM detection in different regions of Russia from 2010 to 2024 were conducted. Identification methods included GenoType Mycobacterium CM/AS assays, PCR, mass spectrometry (MALDI-TOF MS) and whole-genome sequencing. Data from multiple regions, including Moscow, Saint Petersburg, the Siberian Federal District and others, were analyzed to assess species diversity and epidemiological patterns.

resultsThe species spectrum of NTM in Russia is broad and heterogeneous. M. avium is the predominant species with an average frequency of 30-40%. A secondary group, including M. gordonae (13-25%) and M. intracellulare (12-20%), demonstrates significant prevalence. The remaining species, such as M. fortuitum, M. lentiflavum, M. kansasii, and M. abscessus, exhibit lower but notable frequencies ranging from 3% to 20%. Other species such as M. malmoense, M. xenopi, M. simiae etc. were less common, with frequencies below 5%. Regional differences in species prevalence were pronounced, with M. avium-intracellulare complex dominating in many areas reaching more than 50% of all NTM, while species like M. lentiflavum were more common in specific regions such as the Republic of Komi (44% of all NTM in the region). The COVID-19 pandemic (2020-2023) impacted epidemiological surveillance but did not substantially alter species diversity. Advanced molecular techniques, including whole-genome sequencing, revealed subspecies-level diversity, notably among M. avium and M. abscessus complexes.

conclusionsThis study underscores the significant geographic variability and species diversity of NTM in the Russian Federation. The detection rates and species spectrum depend on the diagnostic methods employed, highlighting the need for standardized, advanced molecular diagnostics. Continued surveillance and molecular characterization are crucial for improving diagnosis, guiding therapy, and understanding the epidemiology of NTM infections in Russia.

Indexed as

Mycobacterium Infections, NontuberculousNontuberculous MycobacteriaGenotypeHumansPrevalenceRussiaWhole Genome SequencingEpidemiologyMolecular diagnosticsMycobacterium avium complexNon-tuberculous mycobacteriaNTMRussiaSpecies diversityWhole-genome sequencing

Identifiers

PMID41882567
PMCPMC13137576

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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.