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Cited by 355

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Microbiological Features and Clinical Relevance of New Species of the Genus Mycobacterium

Open access
Tortoli, Enrico·2014·Clinical Microbiology Reviews

Abstract

SUMMARY: Nontuberculous mycobacteria (NTM) are present in the environment, mainly in water, and are occasionally responsible for opportunistic infections in humans. Despite the fact that NTM are characterized by a moderate pathogenicity, the diseases caused by NTM at various body sites are increasing on a worldwide level. Among over 150 officially recognized NTM species, only two or three dozen are familiar to clinicians, and even to most microbiologists. In this paper, approximately 50 new species described in the last 8 years are reviewed, and their role in human infections is assessed on the basis of reported clinical cases. The small number of reports concerning most of the “new” mycobacterial species is responsible for the widespread conviction that they are very rare. Their role is actually largely underestimated, mainly because they often remain unrecognized and misidentified. Aiming to minimize such bias, emphasis has been placed on more common identification pitfalls. Together with new NTM, new members of the Mycobacterium tuberculosis complex described in the last few years are also an object of the present review.

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Metadata

Authors
Tortoli, E.
Venue
Clinical Microbiology Reviews
Published
2014-10
Volume
27
Issue
4
Pages
727-752
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2149034885
Cited by
355
References
81
FWCI
17.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Microbiological Features and Clinical Relevance of New Species of the Genus Mycobacterium. https://app.cochat.ai/papers/10.1128/cmr.00035-14
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Tortoli, E. (2014). Microbiological Features and Clinical Relevance of New Species of the Genus Mycobacterium. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00035-14

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.