Evidence map›Paper›PMID 38371454›Full record

ReviewInternational journal of nanomedicine2024

Bone Targeting Nanoparticles for the Treatment of Osteoporosis.

Caining Wen, Xiao Xu, Yuanmin Zhang, Jiang Xia, Yujie Liang, Limei Xu

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Nutritional supplementation withFrontiers in nutrition · 2026
    Pooled it
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  18. The research progress and potential applications ofThe British journal of nutrition · 2025
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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

6 authors.

Caining Wen *Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, People's Republic of China.
Xiao Xu *Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, People's Republic of China.
Yuanmin ZhangAffiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, People's Republic of China.
Jiang XiaDepartment of Chemistry, the Chinese University of Hong Kong, Shatin, Hong Kong SAR, People's Republic of China.
Yujie LiangAffiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, People's Republic of China.ORCID 0000-0002-0860-4859
Limei XuAffiliated Hospital of Jining Medical University, Jining Medical University, Jining, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP) affects millions of people worldwide, especially postmenopausal women and the elderly. Although current available anti-OP agents can show promise in slowing down bone resorption, most are not specifically delivered to the hard tissue, causing significant toxicity. A bone-targeted nanodrug delivery system can reduce side effects and precisely deliver drug candidates to the bone. This review focuses on the progress of bone-targeted nanoparticles in OP therapy. We enumerate the existing OP medications, types of bone-targeted nanoparticles and categorize pairs of the most common bone-targeting functional groups. Finally, we summarize the potential use of bone-targeted nanoparticles in OP treatment. Ongoing research into the development of targeted ligands and nanocarriers will continue to expand the possibilities of OP-targeted therapies into clinical application.

Indexed as

Bone ResorptionNanoparticlesOsteoporosisAgedBone and BonesBone DensityFemaleHumansbone targetingnanomedicineosteoporosis therapy

Identifiers

PMID38371454
PMCPMC10871045

What OpenQuestion holds

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LicenceCC BY-NC
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.