Evidence map›Paper›PMID 34295504›Full record

ArticleEnvironmental science : water research & technology2020

Factors associated with elevated levels of antibiotic resistance genes in sewer sediments and wastewater.

Eramo Alessia, Morales Medina, R William, N L Fahrenfeld

Abstract read
In one paragraph

Article in Environmental science : water research & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Quest for Optimal Regression Models in SARS-CoV-2 Wastewater Based Epidemiology.International journal of environmental research and public health · 2021
    Article
  6. Review
  7. 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.

Eramo AlessiaCivil & Environmental Engineering, Rutgers, The State University of New Jersey, 500 Bartholomew Rd., Piscataway, NJ 08854.
Morales MedinaMicrobiology and Molecular Genetics, Rutgers, The State University of New Jersey.
R WilliamMicrobiology and Molecular Genetics, Rutgers, The State University of New Jersey.
N L FahrenfeldCivil & Environmental Engineering, Rutgers, The State University of New Jersey, 500 Bartholomew Rd., Piscataway, NJ 08854.

Funding

Inter-University Doctoral Degree:Puerto Rico to RutgersR25GM058389 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LANGER, JEROME ALAN, RIOS-VELAZQUEZ, CARLOS · 1998 to 2016
$3.0M
NIGMS NIH HHS R25 GM058389
6 · The paper itself

Abstract

The sewer environment is a potential hotspot for the proliferation of antibiotic resistance genes (ARGs) and other hazardous microbial agents. Understanding the potential for ARG proliferation and retardation and/or accumulation in sewer sediments is of interest for protecting the health of sewage workers and the broader community in the event of sewer overflows as well as for interpreting sewage epidemiology data. To better understand this understudied environment for antibiotic resistance, a field survey was conducted to identify the factors that may control ARGs in sewer sediments and sewage. qPCR was performed for select ARGs and amplicon sequencing was performed for paired samples from combined and separate sanitary sewer systems. Metagenomic sequencing was performed on combined sewer sediments. The relative abundances of

Indexed as

amplicon sequencingARGcombined sewerheavy metalsmetagenomicssewage

Identifiers

PMID34295504
PMCPMC8294613

What OpenQuestion holds

Textmetadata
LicenceTDM
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.