Evidence map›Paper›PMID 37929735›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2024

Review Deciphering the Anticancer Efficacy of Resveratrol and their Associated Mechanisms in Human Carcinoma.

Mohd Arif, Pratibha Pandey, Fahad Khan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Mohd ArifDepartment of Biotechnology, Noida Institute of Engineering and Technology, Greater Noida, U.P., India.
Pratibha PandeyDepartment of Biotechnology, Noida Institute of Engineering and Technology, Greater Noida, U.P., India.
Fahad KhanDepartment of Biotechnology, Noida Institute of Engineering and Technology, Greater Noida, U.P., India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scientific world has recently shown wider attention to elucidating the anticancerous potential of numerous plant-based bioactive compounds. Many research studies have suggested that consuming foods high in polyphenols, which are present in large amounts in grains, legumes, vegetables, and fruits, may delay the onset of various illnesses, including cancer. Normal cells with genetic abnormalities begin the meticulously organized path leading to cancer, which causes the cells to constantly multiply, colonize, and metastasize to other organs like the liver, lungs, colon, and brain. Resveratrol is a naturally occurring stilbene and non-flavonoid polyphenol, a phytoestrogen with antioxidant, anti-inflammatory, cardioprotective, and anticancer properties. Resveratrol makes cancer cells more susceptible to common chemotherapeutic treatments by reversing multidrug resistance in cancer cells. This is especially true when combined with clinically used medications. Several new resveratrol analogs with enhanced anticancer effectiveness, absorption, and pharmacokinetic profile have been discovered. The present emphasis of this review is the modulation of intracellular molecular targets by resveratrol in vivo and in vitro in various malignancies. This review would help future researchers develop a potent lead candidate for efficiently managing human cancers.

Indexed as

Antineoplastic Agents, PhytogenicResveratrolAnimalsCarcinomaHumansNeoplasmsAntineoplastic Agents, PhytogenicResveratrolCancerchemotherapeutic treatments.drugflavonoidresveratrolsignaling pathways

Identifiers

PMID37929735

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.