Evidence map›Paper›PMID 35146151›Full record

ReviewHeliyon2022

Therapeutic benefits of

Chinonso Anthony Ezema, Timothy Prince Chidike Ezeorba, Rita Ngozi Aguchem, Innocent Uzochukwu Okagu

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Evaluating the Therapeutic Potential of Common Sage (Molecules (Basel, Switzerland) · 2026
    Article
  2. Food science & nutrition · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. An Ethnopharmacological Survey on Medicinally Important Plants of Genus Salvia.Combinatorial chemistry & high throughput screening · 2025
    Review
  8. Review
  9. Review
  10. Natural Compounds ofBiomedicines · 2023
    Review
  11. Review
  12. Review
  13. Chemical Profile and Bioactivity Evaluation ofAntioxidants (Basel, Switzerland) · 2023
    Article
  14. 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

4 authors at 1 institution in 2 countries.

Chinonso Anthony EzemaDepartment of Microbiology, University of Nigeria, Nsukka, 410001, Nigeria.
Timothy Prince Chidike EzeorbaDepartment of Biochemistry, University of Nigeria, Nsukka, 410001, Nigeria.
Rita Ngozi AguchemDepartment of Biochemistry, University of Nigeria, Nsukka, 410001, Nigeria.
Innocent Uzochukwu OkaguDepartment of Biochemistry, University of Nigeria, Nsukka, 410001, Nigeria.
University of Nigeria · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Man is increasingly being faced with many health conditions, including viral infection, some of which increases the risk to cancer. These infectious agents contribute to the large number of persons with cancer and the worrisome number that die from the diseases. A good range of drugs are currently in place for treating patients infected with viruses, however, some of the drugs' effectiveness are limited by the emergence of drug-resistant strains of the viruses, as well as adverse effects of the drugs. Similarly, the inability of many anticancer drugs to selectively kill cancer cells while sparing hosts' normal cells limit their use. This warrants more research for newer drugs, especially from chemicals naturally encrypted in plants with anticancer and antiviral activities. In response to infection with cancer-inducing viruses, plants such as

Indexed as

AnticancerAntiviralNutraceuticalsPhytochemicalsSalvia species

Identifiers

PMID35146151
PMCPMC8819530
OpenAlexW4205614836

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.