Evidence map›Paper›PMID 38304620›Full record

ReviewBone reports2024

Applications of honeybee-derived products in bone tissue engineering.

Shahla Korani, Naeemeh Khalesi, Mitra Korani, Tannaz Jamialahmadi, Amirhossein Sahebkar

Open access · goldAbstract readReview
In one paragraph

Review in Bone reports, 2024. 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
3.8field-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, 7 citations in OpenAlex.

  1. Mixed Fermentation UsingFoods (Basel, Switzerland) · 2026
    Article
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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

5 authors at 3 institutions in 1 country.

Shahla KoraniResearch Center of Oils and Fats, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Naeemeh KhalesiBiotechnology Department, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
Mitra KoraniResearch Center of Oils and Fats, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Tannaz JamialahmadiMedical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Amirhossein SahebkarApplied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Kermanshah University of Medical Sciences · IRMashhad University of Medical Sciences · IRShahid Beheshti University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, there is an increasing prevalence of bone diseases and defects caused by trauma, cancers, infections, and degenerative and inflammatory conditions. The restoration of bone tissue lost due to trauma, fractures, or surgical removal resulting from locally invasive pathologies requires bone regeneration. As an alternative to conventional treatments, sustainable materials based on natural products, such as honeybee-derived products (honey, propolis, royal jelly, bee pollen, beeswax, and bee venom), could be considered. Honeybee-derived products, particularly honey, have long been recognized for their healing properties. There are a mixture of phytochemicals that offer bone protection through their antimicrobial, antioxidant, and anti-inflammatory properties. This review aims to summarize the current evidence regarding the effects of honeybee-derived products on bone regeneration. In conclusion, honey, propolis, royal jelly, beeswax, and bee venom can potentially serve as natural products for promoting bone health.

Indexed as

Bee pollenBeeswaxBee venomBone defectBone engineeringHoneyPropolisRoyal jelly

Identifiers

PMID38304620
PMCPMC10831168
OpenAlexW4391023021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.