Evidence map›Paper›PMID 35257011›Full record

ReviewBioMed research international2022

Nontuberculous Mycobacterial Resistance to Antibiotics and Disinfectants: Challenges Still Ahead.

Samira Tarashi, Seyed Davar Siadat, Abolfazl Fateh

Abstract readReview
In one paragraph

Review in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in medicine · 2024
    Article
  10. Review
  11. Review
  12. Review
  13. AgPolymers · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Case Report:Frontiers in public health · 2022
    Article
  20. Article
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

3 authors.

Samira TarashiDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0002-7141-322X
Seyed Davar SiadatDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0002-6892-5603
Abolfazl FatehDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0002-2043-8523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mortality incidence from nontuberculous mycobacteria (NTM) infections has been steadily developing globally. These bacterial agents were once thought to be innocent environmental saprophytic that are only dangerous to patients with defective lungs or the immunosuppressed. Nevertheless, the emergence of highly resistant NTM to different antibiotics and disinfectants increased the importance of these agents in the health system. Currently, NTM frequently infect seemingly immunocompetent individuals at rising rates. This is of concern as the resistant NTM are difficult to control and treat. The details behind this NTM development are only beginning to be clarified. The current study will provide an overview of the most important NTM resistance mechanisms to not only antibiotics but also the most commonly used disinfectants. Such evaluations can open new doors to improving control strategies and reducing the risk of NTM infection. Moreover, further studies are crucial to uncover this association.

Indexed as

DisinfectantsMycobacterium Infections, NontuberculousAnti-Bacterial AgentsHumansImmunocompromised HostNontuberculous MycobacteriaAnti-Bacterial AgentsDisinfectants

Identifiers

PMID35257011
PMCPMC8898113

What OpenQuestion holds

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LicenceCC BY
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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.