Evidence map›Paper›PMID 35672328›Full record

ArticleScientific data2022

A dataset of distribution of antibiotic occurrence in solid environmental matrices in China.

Qi Zhang, Guanshi Zhang, Dongsheng Liu, Xiu Zhang, Ruying Fang, Luqi Wang, Yunxiang Chen, Lingling Lin, Hongjuan Wu, Sen Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Qi ZhangSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Guanshi ZhangSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Dongsheng LiuSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Xiu ZhangSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Ruying FangSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Luqi WangSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Yunxiang ChenSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Lingling LinSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Hongjuan WuSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China.
Sen LiSchool of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P. R. China. senli@hust.edu.cn.ORCID 0000-0002-1177-7339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there is growing global concern about the impact of antibiotic residues on emergence and enhancement bacteria's resistance, toxicity to natural organisms, and, ultimately, public health, a concise picture of measured environmental concentrations of antibiotic occurrence in multiple environmental matrices, particularly in solid matrices (e.g., sludge, soil, and sediments) is still elusive, especially for China. In this paper, we present an up-to-date dataset of the distribution of antibiotic occurrence in solid environmental matrices in China, derived from 210 peer-reviewed literature published between 2000 and 2020. We extracted geographical sampling locations and measured concentration associated with antibiotic occurrence reported in English and Chinese original publications, and applied quality-control procedures to remove duplicates and ensure accuracy. The dataset contains 6929 records of geo-referenced occurrences for 135 antibiotics distributed over 391 locations distinguished at four levels of scale i.e., provincial, prefectural, county, and township or finer. The geographical dataset provides an updated map of antibiotic occurrence in solid environmental matrices in China and can be used for further environmental health risk assessment.

Indexed as

Anti-Bacterial AgentsSoilChinaEnvironmental MonitoringAnti-Bacterial AgentsSoil

Identifiers

PMID35672328
PMCPMC9174198

What OpenQuestion holds

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LicenceCC BY
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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.