Evidence map›Paper›PMID 7556573›Full record

ReviewExperientia1995

Effect of royal jelly on serum lipids in experimental animals and humans with atherosclerosis.

J Vittek

Abstract readReview
PubMed Publisher
In one paragraph

Review in Experientia, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact, top 85% 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

20 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Royal Jelly: Biological Action and Health Benefits.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Potential of natural medicines for treatment of osteoporosis: a narrative review.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023
    Review
  5. Article
  6. A small HHeliyon · 2022
    Article
  7. Review
  8. Natural Compounds Attenuate Denervation-Induced Skeletal Muscle Atrophy.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

J VittekDepartment of Medicine, New York Medical College, Valhalla 10595, USA.
New York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of this review was to assess the size and consistency of Royal Jelly (RJ) effect on serum lipids in experimental animals and humans. The data from animal studies were pooled, where possible, and statistically evaluated by Student's t-test. Meta-analysis was used for the evaluation of human trials. It was found that RJ significantly decreased serum and liver total lipids and cholesterol levels in rats and rabbits and also retarded the formation of atheromas in the aorta of rabbits fed a hyperlipemic diet. Meta-analysis of the controlled human trials of RJ to reduce hyperlipidemia showed a significant reduction in total serum lipids and cholesterol levels and normalization of HDL and LDL as determined from decrease in beta/alpha lipoproteins. The best available evidence suggests that RJ at approximately 50 to 100 mg per day, decreased total serum cholesterol levels by about 14%, and total serum lipids by about 10% in the group of patients studied.

Indexed as

AnimalsArteriosclerosisCholesterolFatty AcidsHumansHypolipidemic AgentsLipidsLiverRabbitsRatsRoyal JellyCholesterolFatty AcidsHypolipidemic AgentsLipidsRoyal Jelly

Identifiers

PMID7556573
OpenAlexW2047976786

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.