Evidence map›Paper›PMID 37145848›Full record

ArticleMicrobial genomics2023

High-resolution characterization of short-term temporal variability in the taxonomic and resistome composition of wastewater influent.

Kevin K Chau, T Goodall, M Bowes, K Easterbrook, H Brett, J Hughes, D W Crook, D S Read, A S Walker, N Stoesser

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

10 authors at 3 institutions in 1 country.

Kevin K ChauNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.
T GoodallUK Centre for Ecology & Hydrology, MacLean Bldg, Benson Ln, Crowmarsh Gifford, Wallingford, OX10 8BB, UK.
M BowesUK Centre for Ecology & Hydrology, MacLean Bldg, Benson Ln, Crowmarsh Gifford, Wallingford, OX10 8BB, UK.
K EasterbrookThames Water, Clearwater Court, Vastern Road, Reading, RG1 8DB, UK.
H BrettThames Water, Clearwater Court, Vastern Road, Reading, RG1 8DB, UK.
J HughesThames Water, Clearwater Court, Vastern Road, Reading, RG1 8DB, UK.
D W CrookNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.
D S ReadUK Centre for Ecology & Hydrology, MacLean Bldg, Benson Ln, Crowmarsh Gifford, Wallingford, OX10 8BB, UK.
A S WalkerNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.
N StoesserNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.
John Radcliffe Hospital · GBThames Water (United Kingdom) · GBUK Centre for Ecology & Hydrology · GB

Funding

MRF_ MRF-145-0004-TPG-AVISO
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) for population-level surveillance of antimicrobial resistance (AMR) is gaining significant traction, but the impact of wastewater sampling methods on results is unclear. In this study, we characterized taxonomic and resistome differences between single-timepoint-grab and 24 h composites of wastewater influent from a large UK-based wastewater treatment work [WWTW (population equivalent: 223 435)]. We autosampled hourly influent grab samples (

Indexed as

MetagenomeWastewaterHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16SWastewater16S rRNAantimicrobial resistancemetagenomicsresistomewastewater-based epidemiologywastewater sampling

Identifiers

PMID37145848
PMCPMC10272859
OpenAlexW4372271961

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.