Evidence map›Paper›PMID 34356780›Full record

ArticleAntibiotics (Basel, Switzerland)2021

Analysis of Wastewater Reveals the Spread of Diverse Extended-Spectrum β-Lactamase-Producing

Siyabonga N Gumede, Akebe L K Abia, Daniel G Amoako, Sabiha Y Essack

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Occurrence ofMicroorganisms · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Antimicrobial resistance genes ofAIMS microbiology · 2023
    Review
  9. Article
  10. Prevalence and characterization of ESBL-producingFrontiers in public health · 2023
    Article
  11. Clinically Relevant β-Lactam Resistance Genes in Wastewater Treatment Plants.International journal of environmental research and public health · 2022
    Review
  12. Antimicrobial Resistance Patterns and Clonal Distribution ofAntibiotics (Basel, Switzerland) · 2022
    Article
  13. Review
  14. 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

4 authors at 2 institutions in 1 country.

Siyabonga N GumedeAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.
Akebe L K AbiaAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.ORCID 0000-0002-5194-2810
Daniel G AmoakoAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.
Sabiha Y EssackAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4000, South Africa.ORCID 0000-0003-3357-2761
University of KwaZulu-Natal · ZARespiratory and Meningeal Pathogens Research Unit · ZA

Funding

Department of Science and Technology/National Research Foundation Grant No. 98342National Research Foundation Grant no.: 106063
6 · The paper itself

Abstract

Wastewater treatment plants (WWTPs) are major reservoirs of antibiotic-resistant bacteria (ARB), favouring antibiotic resistance genes (ARGs) interchange among bacteria and they can provide valuable information on ARB circulating in a community. This study characterised extended-spectrum beta-lactamase (ESBL)-producing

Indexed as

antibiotic resistance genesantibiotic-resistant bacteriaESBLmultidrug resistanceSouth Africawastewater-based epidemiologywastewater treatment plants

Identifiers

PMID34356780
PMCPMC8300763
OpenAlexW3180129334

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.