Evidence map›Paper›PMID 34588765›Full record

ArticleDrug design, development and therapy2021

Synergistic Dose Permutation of Isolated Alkaloid and Sterol for Anticancer Effect on Young Swiss Albino Mice.

Nada H Aljarba, Huma Ali, Saad Alkahtani

Open access · goldAbstract readComparative Study
In one paragraph

Article in Drug design, development and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Nada H Aljarba *Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Huma Ali *Department of Chemistry, Maulana Azad National Institute of Technology, Bhopal, 462003, MP, India.ORCID 0000-0002-6350-771X
Saad AlkahtaniDepartment of Zoology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.ORCID 0000-0001-7381-5110
King Saud University · SAMaulana Azad National Institute of Technology · INPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSynergy is defined as an interaction of some substances that cooperate to give rise to the combined effect greater than the sum of their individual effects. It is a natural strategy that has evolved by nature to more efficacy with low cost.

methodsThis study is designed to evaluate the chemopreventive effect of a combined drug sample which is prepared by mixing an equal portion of stigmasterol and palmatine isolated from

resultsAt the end of the study, it was found that this combined drug sample decreased the number of tumors and their size. This drug significantly reduced the serum level of glutamate pyruvate transaminase, alkaline phosphatase, glutamate oxalate transaminase, and bilirubin and enhanced the level of oxidative enzyme level of glutathione, superoxide dismutase, and catalase, and inhibit the level of lipid peroxides. DISCUSSION: The result suggests that combined drug samples exhibit a chemopreventive effect which is better than the effect of individual drugs (stigmasterol and palmatine).

Indexed as

AnimalsAnticarcinogenic AgentsAzadirachtaBerberine AlkaloidsDose-Response Relationship, DrugDrug CombinationsDrug SynergismFemaleMaleMiceStigmasterolTinosporaAnticarcinogenic AgentsBerberine AlkaloidsDrug CombinationspalmatineStigmasterolanticancerpalmatinestigmasterolSwiss albino micesynergistic effect

Identifiers

PMID34588765
PMCPMC8476085
OpenAlexW3199628275

What OpenQuestion holds

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LicenceCC BY-NC
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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.