Evidence map›Paper›PMID 37526235›Full record

ReviewPharmacology research & perspectives2023

Could cannabinoids provide a new hope for ovarian cancer patients?

Rimanee Kaur, Farideh A Javid

Abstract readReview
In one paragraph

Review in Pharmacology research & perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Could cannabinoids provide a new hope for ovarian cancer patients?Pharmacology research & perspectives · 2023
    Review
  4. 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

2 authors.

Rimanee KaurDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Farideh A JavidDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID 0000-0002-2775-6276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that gynecological cancers remain a worldwide problem and as shown by the statistics, there is a need for new gynecological cancer treatments. Cannabinoids, the pharmacologically active compounds of the Cannabis sativa plant, have been used for many centuries by individuals as a symptomatic treatment to alleviate pain, nausea, vomiting, and to help stimulate appetite. Research has revealed that cannabinoids also exert anti-cancer activity such as anti-proliferative and pro-apoptotic effects through a variety of mechanisms. There is significant value in the development of these compounds as anti-cancer therapies in clinical practice as they do not produce the typical toxic side effects that exist with conventional therapies and recent clinical trials have shown their great tolerability by patients at high doses. Cannabinoids can induce psychoactive effects that could limit their progression. Therefore, non-psychoactive cannabinoids are attracting pharmacological interest due to their inability to produce psychological effects. Recent studies have focussed on non-psychoactive cannabinoids in ovarian cancer and have revealed promising pre-clinical results that indicate that these compounds may have potential benefits in the treatment of these cancers. However, there are still unanswered questions and research gaps that need to be addressed. This review summarizes the current understanding of this topic and identifies the current gaps in knowledge that provide a useful direction for future work.

Indexed as

CannabinoidsCannabisOvarian NeoplasmsFemaleHumansVomitingCannabinoidscannabinoidsnon-psychoactive cannabinoidsovarian cancer

Identifiers

PMID37526235
PMCPMC10391716

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.