Evidence map›Paper›PMID 32173770›Full record

ReviewEnvironmental monitoring and assessment2020

Water environments: metal-tolerant and antibiotic-resistant bacteria.

Stefania Squadrone

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. DietaryAnimals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Genomic insights into the adaptation of Acinetobacter johnsonii RB2-047 to the heavy metal-contaminated subsurface mine environment.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  10. Article
  11. Article
  12. Whole-genome sequencing ofFrontiers in pharmacology · 2023
    Article
  13. Article
  14. Review
  15. Review
  16. 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

1 author at 1 institution in 1 country.

Stefania SquadroneIstituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154, Torino, Italy. stefania.squadrone@izsto.it.ORCID http://orcid.org/0000-0003-1365-7258
Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential threat of both metals and antibiotics to the environment and human health has raised significant concerns in the last decade. Metal-resistant and antibiotic-resistant bacteria are found in most environments, including water, and the risk posed to humans and animals due to the spread of antibiotic-resistant bacteria and antibiotic-resistant genes in the environment is increasing. Bacteria have developed the ability to tolerate metals even at notable concentrations. This ability tends to favor the selection of antibiotic-resistant strains, even in pristine water environments, with the potential risk of spreading this resistance to human pathogens. In this mini-review, we focus on investigations performed in marine and freshwater environments worldwide, highlighting the presence of co-resistance to metals and antibiotics.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialAnimalsBacteriaEnvironmental MonitoringHumansMetalsAnti-Bacterial AgentsMetalsAntibiotic-resistant genesHuman pathogensMetal-resistant genes

Identifiers

PMID32173770
OpenAlexW3011344317

What OpenQuestion holds

Textmetadata
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.