Evidence map›Paper›PMID 31802869›Full record

ArticleInternational journal of nanomedicine2019

Therapeutic Potential Of

Ammara Arif, Attya Bhatti, Peter John

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Nano-Nutraceuticals for Health: Principles and Applications.Revista brasileira de farmacognosia : orgao oficial da Sociedade Brasileira de Farmacognosia · 2023
    Review
  6. Article
  7. 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

3 authors.

Ammara ArifAtta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Attya BhattiAtta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID 0000-0002-2781-5221
Peter JohnAtta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRheumatoid arthritis is an inflammatory autoimmune multifactorial disorder that primarily affects the joints. Currently available treatment options, although effective, still present some side effects. This study proposes an alternative treatment option for rheumatoid arthritis through elucidation of therapeutic potential of

methodsSynthesis and characterization of selenium nanoparticles were followed by their toxicity analysis on healthy mice. Subsequently, anti-arthritic efficacy of two doses (5 mg/kg and 10 mg/kg) of synthesized selenium nanoparticles was checked on arthritic mice using multiple parameters.

resultsSelenium nanoparticles in 10 mg/kg dose turned out to be more effective in treatment of rheumatoid arthritis as evident by significant reduction in paw volume and normal clinical chemistry parameters of treated arthritic mice. This dose also showed significant antioxidant activity in 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay.

conclusion

Indexed as

AnimalsArthritis, ExperimentalArthritis, RheumatoidBiphenyl CompoundsCatalaseFemaleFoeniculumFree Radical ScavengersMice, Inbred BALB CNanoparticlesPicratesPlant ExtractsSeleniumSpectrophotometry, InfraredSpectrophotometry, UltravioletSpleen1,1-diphenyl-2-picrylhydrazylBiphenyl CompoundsCatalaseFree Radical ScavengersPicratesPlant ExtractsSeleniumBalb/c micenanotherapyplant seed extractrheumatoid arthritisselenium deficiency

Identifiers

PMID31802869
PMCPMC6827524

What OpenQuestion holds

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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.