Evidence map›Paper›PMID 39474048›Full record

ArticleEnvironment & health (Washington, D.C.)2023

Associations between Wastewater Microbiome and Population Smoking Rate Identified Using Wastewater-Based Epidemiology.

Jiangping Wu, Shuxin Zhang, Yan Chen, Jiawei Zhao, Tanjila Prosun, Jake William O'Brien, Jochen F Mueller, Ben J Tscharke, Lachlan J M Coin, Stephen P Luby and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment & health (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Jiangping WuSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.ORCID https://orcid.org/0000-0002-2617-3124
Shuxin ZhangSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.
Yan ChenSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.
Jiawei ZhaoSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.
Tanjila ProsunSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.
Jake William O'BrienQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane 4102, Australia.ORCID https://orcid.org/0000-0001-9336-9656
Jochen F MuellerQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane 4102, Australia.
Ben J TscharkeQueensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane 4102, Australia.ORCID https://orcid.org/0000-0002-3292-3534
Lachlan J M CoinDepartment of Clinical Pathology, The University of Melbourne, Parkville 3052, Australia.
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, Palo Alto, California 94034, United States.
Faisal I HaiSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.
Tanya BuchananSchool of Health and Society, University of Wollongong, Wollongong 2522, Australia.
Guangming JiangSchool of Civil, Mining, Environmental and Architectural Engineering, University of Wollongong, Wollongong 2522, Australia.ORCID https://orcid.org/0000-0001-5399-8239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco use is known to cause health damage, partly by changing the mouth, respiratory tract, and gut-related microbiomes. This study aims to identify the associations between the human microbiome detected in domestic wastewater and the population smoking rate. Metagenomic sequencing and a biomarker discovery algorithm were employed to identify microorganisms as potential microbial biomarkers of smoking through wastewater-based epidemiology. Wastewater samples were collected from selected catchments with low and high smoking rates, i.e., 11.2 ± 1.5% and 17.0 ± 1.6%, respectively. Using the linear discriminant analysis effect size (LEfSe) method,

Identifiers

PMID39474048
PMCPMC11504251

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.