Evidence map›Paper›PMID 37272844›Full record

ArticleMicrobiology spectrum2023

Identification of Mycobacterium pseudoshottsii in the Eastern Mediterranean.

Nadav Davidovich, Andrei Makhon, Gal Zizelski Valenci, Zeev Dveyrin, Tal Yahav, Tobia Pretto, Dan Tchernov, Danny Morick

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 5 institutions in 3 countries.

Nadav DavidovichMorris Kahn Marine Research Station, University of Haifa, Haifa, Israel.ORCID 0000-0002-4467-6083
Andrei MakhonNational Public Health Laboratory, Public Health Directorate, Ministry of Health, Tel Aviv, Israel.
Gal Zizelski ValenciNational Public Health Laboratory, Public Health Directorate, Ministry of Health, Tel Aviv, Israel.
Zeev DveyrinNational Public Health Laboratory, Public Health Directorate, Ministry of Health, Tel Aviv, Israel.
Tal YahavBioinformatics Services Unit, University of Haifa, Haifa, Israel.
Tobia PrettoIstituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Padua, Italy.ORCID 0000-0001-7699-9728
Dan TchernovMorris Kahn Marine Research Station, University of Haifa, Haifa, Israel.
Danny MorickMorris Kahn Marine Research Station, University of Haifa, Haifa, Israel.ORCID 0000-0002-2496-6120
Israel Ministry of Health · ILUniversity of Haifa · ILIstituto Zooprofilattico Sperimentale delle Venezie · ITMinistry of Agriculture and Rural Development · ILSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the numerous pathogenic nontuberculous mycobacteria (NTM), which may cause disease in both poikilothermic and homoeothermic organisms, members of the unique clade Mycobacterium ulcerans/Mycobacterium marinum (MuMC) may cause disease in both fish and humans. Here, we describe the emergence of Mycobacterium pseudoshottsii, one of the four MuMC members, in Israel. For many years, M. marinum was the dominant NTM that was diagnosed in Israel as a fish pathogen. To the best of our knowledge, this is the first isolation and genomic characterization of

Indexed as

BassFish DiseasesMycobacteriumMycobacterium Infections, NontuberculousMycobacterium marinumAnimalsHumansPhenotypePhylogenyemerging pathogenIsraelMycobacterium pseudoshottsiinontuberculous mycobacteria

Identifiers

PMID37272844
PMCPMC10434243
OpenAlexW4379376033

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.