Evidence map›Paper›PMID 25953606›Full record

ReviewEnvironmental science and pollution research international2015

Integrated ecological risk assessment of dioxin compounds.

Seyedeh Belin Tavakoly Sany, Rosli Hashim, Majid Rezayi, Mohammad Azizur Rahman, Bi Bi Marzieh Razavizadeh, Ebrahim Abouzari-lotf, David J Karlen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2015. 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
2.3field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dioxin risk assessment: mechanisms of action and possible toxicity in human health.Environmental science and pollution research international · 2015
    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

7 authors at 4 institutions in 4 countries.

Seyedeh Belin Tavakoly SanyInstitute of Biological Sciences University of Malaya, 50603, Kuala Lumpur, Malaysia, belintavakoli332@gmail.com.
Rosli Hashim
Majid Rezayi
Mohammad Azizur Rahman
Bi Bi Marzieh Razavizadeh
Ebrahim Abouzari-lotf
David J Karlen
University of Malaya · MYInstitute of Food Science and Technology · CNUniversity of Technology Malaysia · MYUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current ecological risk assessment (ERA) schemes focus mainly on bioaccumulation and toxicity of pollutants in individual organisms. Ecological models are tools mainly used to assess ecological risks of pollutants to ecosystems, communities, and populations. Their main advantage is the relatively direct integration of the species sensitivity to organic pollutants, the fate and mechanism of action in the environment of toxicants, and life-history features of the individual organism of concern. To promote scientific consensus on ERA schemes, this review is intended to provide a guideline on short-term ERA involving dioxin chemicals and to identify key findings for exposure assessment based on policies of different agencies. It also presents possible adverse effects of dioxins on ecosystems, toxicity equivalence methodology, environmental fate and transport modeling, and development of stressor-response profiles for dioxin-like chemicals.

Indexed as

AnimalsDioxinsEcotoxicologyEnvironmental PollutantsHumansRisk AssessmentDioxinsEnvironmental Pollutants

Identifiers

PMID25953606
OpenAlexW341389733

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.