Evidence map›Paper›PMID 34409148›Full record

ArticleOne health (Amsterdam, Netherlands)2021

Questioning the source of identified non-foodborne pathogens from food-contact wooden surfaces used in Hong Kong's urban wet markets.

Subramanya Rao, Wing Yui Ngan, Long Chung Chan, Patrick Thabang Sekoai, Aster Hei Yiu Fung, Yang Pu, Yuan Yao, Olivier Habimana

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Subramanya RaoThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Wing Yui NganThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Long Chung ChanThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Patrick Thabang SekoaiThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Aster Hei Yiu FungThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Yang PuThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Yuan YaoThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.
Olivier HabimanaThe School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a phylogenic analysis was performed on pathogens previously identified in Hong Kong wet markets' cutting boards. Phylogenetic comparisons were made between phylotypes obtained in this study and environmental and clinical phylotypes for establishing the possible origin of selected bacterial species isolated from wet market cutting board ecosystems. The results reveal a strong relationship between wet market bacterial assemblages and environmental and clinically relevant phylotypes. However, our poor knowledge of potential cross-contamination sources within these wet markets is further exacerbated by failing to determine the exact or presumed origin of its identified pathogens. In this study, several clinically relevant bacterial pathogens such as

Indexed as

Hong Kong's Wet marketNon-foodborne pathogensPhylogenetic comparisonWooden cutting board

Identifiers

PMID34409148
PMCPMC8361257

What OpenQuestion holds

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Registered trials

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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.