Evidence map›Paper›PMID 22692716›Full record

ArticleEnvironmental monitoring and assessment2013

The residues and environmental risks of multiple veterinary antibiotics in animal faeces.

Yan-Xia Li, Xue-Lian Zhang, Wei Li, Xiao-Fei Lu, Bei Liu, Jing Wang

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 157 citations in OpenAlex.

  1. Does Ivermectin Pollute the Surroundings of Swine Farms?Veterinary medicine and science · 2025
    Article
  2. Review
  3. Efficient degradation of tylosin byMicrobiology spectrum · 2025
    Article
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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

6 authors at 2 institutions in 1 country.

Yan-Xia LiState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 100875, Beijing, China. liyxbnu@bnu.edu.cn
Xue-Lian Zhang
Wei Li
Xiao-Fei Lu
Bei Liu
Jing Wang
Beijing Normal University · CNNuclear and Radiation Safety Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the residues and ecological risks of veterinary antibiotics (VAs) in animal faeces from concentrated animal feeding operations in northeastern China, 14 VAs were identified by high performance liquid chromatography, and the preliminary risks of six antibiotics were assessed using the hazard quotient (HQ). The investigated VAs occurred in 7.41 to 57.41 % of the 54 samples, and the levels ranged from 0.08 to 56.81 mg kg(-1). Tetracyclines were predominant with a maximum level of 56.81 mg kg(-1) mostly detected in pig faeces. Sulfonamides were common and detected with the highest concentration of 7.11 mg kg(-1). Fluoroquinolones were more widely detected in chicken faeces rather than in pig or cow faeces, which contained the dominant antibiotic enrofloxacin. In comparison, the residue of tylosin was less frequently found. The risk evaluations of the six antibiotics revealed that tetracyclines, especially oxytetracycline, displayed the greatest ecological risk because of its high HQ value of 15.75. The results of this study imply that multiple kinds of VAs were jointly used in animal feeding processes in the study area. These medicine residues in animal faeces may potentially bring ecological risks if the animal manure is not treated effectively.

Indexed as

AnimalsAnti-Bacterial AgentsCattleChickensChinaEnvironmental MonitoringEnvironmental PollutantsFecesManureRisk AssessmentSwineVeterinary DrugsAnti-Bacterial AgentsEnvironmental PollutantsManureVeterinary Drugs

Identifiers

PMID22692716
OpenAlexW2033243409

What OpenQuestion holds

Textmetadata
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.