Evidence map›Paper›PMID 31885062›Full record

ArticleEnvironmental science and pollution research international2020

Ellagic acid ameliorates lung damage in rats via modulating antioxidant activities, inhibitory effects on inflammatory mediators and apoptosis-inducing activities.

Abdullah Aslan, Yousif Taha Hussein, Ozlem Gok, Seda Beyaz, Orhan Erman, Serpil Baspinar

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
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  8. Fullerene CCardiovascular toxicology · 2023
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  10. Ethyl Acetate Fraction ofAntibiotics (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Article
  13. Densitometric Quantification and Optimization of Polyphenols inSaudi journal of biological sciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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 2 countries.

Abdullah AslanFaculty of Science, Department of Biology-Molecular Biology and Genetics Program, Firat University, Elazig, Turkey. aaslan@firat.edu.tr.
Yousif Taha HusseinFaculty of Science, Department of Biology, Firat University, Elazig, Turkey.
Ozlem GokFaculty of Science, Department of Biology, Firat University, Elazig, Turkey.
Seda BeyazFaculty of Science, Department of Biology, Firat University, Elazig, Turkey.
Orhan ErmanFaculty of Science, Department of Biology, Firat University, Elazig, Turkey.
Serpil BaspinarHealth Services Vocational High School, Department of Medical Imaging, Firat University, Elazig, Turkey.
Fırat University · TRSulaimani Polytechnic University · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytochemicals is considered one of the most effective and safe alternative therapy against oxidative linked lung diseases. Ellagic acid (EA), an important component of fruits, nuts, and vegetables, are partly responsible for their beneficial health effects against oxidation-related diseases. In the present study, we investigated the ameliorative effect of EA on lung damage induced by carbon tetrachloride (CCl

Indexed as

AntioxidantsEllagic AcidAnimalsApoptosisCarbon TetrachlorideInflammation MediatorsLungMaleOxidative StressRatsRats, WistarAntioxidantsCarbon TetrachlorideEllagic AcidInflammation MediatorsCaspase-3COX-2Ellagic acidLung damageNrf-2Tnf-α

Identifiers

PMID31885062
OpenAlexW2996873517

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.