Evidence map›Paper›PMID 35456596›Full record

ArticlePharmaceutics2022

AgNPs Targeting the Drug Resistance Problem of

Ekaterina Nefedova, Nikolay Shkil, Roberto Luna Vazquez-Gomez, Diana Garibo, Alexey Pestryakov, Nina Bogdanchikova

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. 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
1.6field-weighted citation impact, top 16% 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, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Sustainable, scalable nanotechnology approach using filtrate fromFrontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Solution of the Drug Resistance Problem ofNanomaterials (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Silver Nanoparticles Targeting the Drug Resistance Problem ofInternational journal of molecular sciences · 2022
    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 5 institutions in 2 countries.

Ekaterina NefedovaSiberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Novosibirsk 630501, Russia.ORCID 0000-0003-0248-6879
Nikolay ShkilSiberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences, Novosibirsk 630501, Russia.
Roberto Luna Vazquez-GomezEscuela de Ciencias de la Salud, Universidad Autónoma de Baja California, Ensenada 22890, B.C., Mexico.
Diana GariboCentro de Nanociencias y Nanotecnología, Universidad Nacional Autónoma de México, Ensenada 22800, B.C., Mexico.
Alexey PestryakovResearch School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Tomsk 634050, Russia.ORCID 0000-0002-9034-4733
Nina BogdanchikovaCentro de Nanociencias y Nanotecnología, Universidad Nacional Autónoma de México, Ensenada 22800, B.C., Mexico.ORCID 0000-0003-0929-3535
Siberian Research Institute of Agriculture and Peat · RUNational Research Tomsk State University · RUSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MXUniversidad Autónoma de Baja California · MXUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work presents translational research with application of AgNPs targeting the global drug resistance problem. In vivo fieldwork was carried out with 400 breeding farm cows sick with a serous mastitis. Ex vivo results revealed that after cow treatment with Lactobay

Indexed as

AgNPsefflux effectlactobayS. aureus

Identifiers

PMID35456596
PMCPMC9025349
OpenAlexW4221077098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.