Evidence map›Paper›PMID 25740685›Full record

ArticleEnvironmental monitoring and assessment2015

Study on heavy metal levels and its health risk assessment in some edible fishes from Nansi Lake, China.

Fangkun Zhu, Li Qu, Wenxiu Fan, Airong Wang, Hailing Hao, Xiaobo Li, Shuwen Yao

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Bioaccumulation and Health Risk Assessment of Metals among Two Most Consumed Species of Angling Fish (International journal of environmental research and public health · 2022
    Article
  8. Review
  9. Article
  10. Assessment of heavy metal content, distribution, and sources in Nansi Lake sediments, China.Environmental science and pollution research international · 2021
    Article
  11. Article
  12. Article
  13. Metal concentrations in fish from nine lakes of Anhui Province and the health risk assessment.Environmental science and pollution research international · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors at 1 institution in 1 country.

Fangkun ZhuSchool of Chemistry and Chemical Engineering, Henan Institute of Science and Technology, 453003, Xinxiang, China, fkzhu001@163.com.
Li Qu
Wenxiu Fan
Airong Wang
Hailing Hao
Xiaobo Li
Shuwen Yao
Henan Institute of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eight heavy metals, namely Cu, Zn, Fe, Mn, Cd, Ni, Pb, and As in the muscles of nine fish species collected from Nansi Lake, China. were determined, and the potential health risks to local residents via consumption of the fishes were estimated. The results of two-way ANOVA that showed the concentrations of heavy metals in the investigated fish samples were influenced significantly by fish species and sampling sites. Correlation analysis indicated that sampling sites had significant effects on the levels of correlation coefficients among different heavy metal concentrations. Interestingly, although none of the hazard quotient (HQ) values of any individual element was greater than 1 for the investigated exposure population through fish consumption, the hazard index (HI) values were more than 1 for local fishermen, suggesting that local fishermen may be experiencing some adverse health effects. Among the investigated nine fish species, Cyprinus carpio had the highest HQ and HI. As, Pb, and Cd were the most concerning heavy metals in the investigated fish samples due to their higher relative contributions to the HI values.

Indexed as

Environmental MonitoringAnimalsChinaFishesFood ContaminationLakesMetals, HeavyMusclesRisk AssessmentSeafoodWater Pollutants, ChemicalMetals, HeavyWater Pollutants, Chemical

Identifiers

PMID25740685
OpenAlexW1984818221

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.