Evidence map›Paper›PMID 36309645›Full record

ArticleBMC microbiology2022

Isolation of nontuberculous mycobacteria species from different water sources: a study of six hospitals in Tehran, Iran.

Sina Moghaddam, Farshad Nojoomi, Arasb Dabbagh Moghaddam, Mojgan Mohammadimehr, Fatemeh Sakhaee, Morteza Masoumi, Seyed Davar Siadat, Abolfazl Fateh

Abstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. NGS-based approach for diagnostically unidentifiedFrontiers in cellular and infection microbiology · 2025
    Article
  6. Managing Complicated Nontuberculous Mycobacteria Infections in Plastic Surgery.Plastic and reconstructive surgery. Global open · 2024
    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

8 authors.

Sina MoghaddamDepartment of Microbiology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran.
Farshad NojoomiDepartment of Microbiology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran. fnojoomi2@gmail.com.
Arasb Dabbagh MoghaddamInfectious Diseases Research Center, Aja University of Medical Sciences, Tehran, Iran.
Mojgan MohammadimehrInfectious Diseases Research Center, Aja University of Medical Sciences, Tehran, Iran.
Fatemeh SakhaeeDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Morteza MasoumiDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Seyed Davar SiadatDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Abolfazl FatehDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran. afateh2@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNontuberculous mycobacteria (NTM) are ubiquitous bacteria that are naturally resistant to disinfectants and antibiotics and can colonize systems for supplying drinking water. Therefore, this study aimed to evaluate the prevalence of NTM in the drinking water of six hospitals in Tehran, Iran.

methodsTotally, 198 water samples were collected. Each water sample was filtered via a membrane filter with a pore size of 0.45 µm and then decontaminated by 0.005% cetylpyridinium chloride. The membrane filters were incubated on two Lowenstein-Jensen media at 25 °C and 37 °C for 8 weeks. The positive cultures were identified with phenotypic tests, and then NTM species were detected according to the hsp65, rpoB, and 16S rDNA genes. Drug susceptibility testing (DST) was also carried out.

resultsOverall, 76 (40.4%) of the isolates were slowly growing mycobacteria (SGM) and 112 (59.6%) of the ones were rapidly growing mycobacteria (RGM). The most common NTM were Mycobacterium aurum, M. gordonae, M. phocaicum, M. mucogenicum, M. kansasii, M. simiae, M. gadium, M. lentiflavum, M. fortuitum, and M. porcinum. Among these 188 samples, NTM ranged from 1 to > 300 colony-forming unit (CFU) /500 mL, with a median of 182 CFU/500 mL. In the infectious department of all hospitals, the amount of CFU was higher than in other parts of the hospitals. The DST findings in this study indicated the diversity of resistance to different drugs. Among RGM, M. mucogenicum was the most susceptible isolate; however, M. fortuitum showed a different resistance pattern. Also, among SGM isolates, M. kansasii and M. simiae, the diversity of DST indicated.

conclusionsThe current study showed NTM strains could be an important component of hospital water supplies and a possible source of nosocomial infections according to the CFU reported in this study. The obtained findings also help clarify the dynamics of NTM variety and distribution in the water systems of hospitals in the research area.

Indexed as

Drinking WaterMycobacterium Infections, NontuberculousMycobacterium tuberculosisHospitalsHumansIranMicrobial Sensitivity TestsNontuberculous MycobacteriaRNA, Ribosomal, 16SDrinking WaterRNA, Ribosomal, 16SAntibiotic resistanceHospital drinking waterNontuberculous mycobacteria

Identifiers

PMID36309645
PMCPMC9617398

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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.