Evidence map›Paper›PMID 40385689›Full record

ReviewAnnals of joint2025

Recent advances in the application of nanotechnology in joint arthroplasty: a narrative review.

Whisper Grayson, Nicholas M Brown

Abstract readReview
In one paragraph

Review in Annals of joint, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Whisper GraysonDepartment of Orthopaedic Surgery & Rehabilitation, Loyola University Health System, Maywood, IL, USA.ORCID https://orcid.org/0000-0003-2995-3772
Nicholas M BrownDepartment of Orthopaedic Surgery & Rehabilitation, Loyola University Health System, Maywood, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Osteoarthritis (OA) is a multifactorial disease, involving biomechanical, inflammatory, and metabolic processes that ultimately impact the structure and function of a joint. Current therapeutic options can improve symptoms and prolong the time to surgery, yet they are not curative and are limited by their systemic side-effects and their inability to provide site-specific delivery. Nanomedicine takes advantage of the unique properties held by technology on the nanoscale (1-100 nm), including surface effects and quantum effects, that allow for novel mechanical, thermal, and magnetic functions. The primary aim of this narrative review is to summarize the recent advances made in nanotechnology and their uses in joint arthroplasty. Methods: This narrative review was performed following a computerized search of the electronic database on PubMed in September 2024. Papers related to the use of nanotechnology in orthopaedic arthroplasty surgery were included for review. Key Context and Findings: Nanotechnology holds the promise of optimizing OA treatment, refining the implants used during joint arthroplasty, and aiding in the diagnosis and treatment of post-operative joint infections. With the increasingly aging population and growing demand for joint replacement, this review aims to cover the novel applications of nanoparticles (NPs) within the realm of joint replacement surgery. Conclusions: Future studies are needed to further investigate the clinical translation of NPs in joint arthroplasty. Additionally, the potential of NPs needs to be considered within their limitations and their safety profile that is still being defined.

Indexed as

joint implantsNanoparticles (NPs)nanotechnologyosteoarthritis (OA)total joint replacement (TJR)

Identifiers

PMID40385689
PMCPMC12082184

What OpenQuestion holds

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Registered trials

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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.