Evidence map›Paper›PMID 42630751›Full record

ArticleJSES reviews, reports, and techniques2026

A bibliometric analysis of the top 100 most-cited shoulder arthroscopy patents.

Neel Bhardwaj, Rachit Saggar, Sahil Dadoo, Prabhjot Singh, Ryan Gilbert, Siya Bhardwaj, Jonathan Yang, Vishnu Maddipatla, Albert Lin

Abstract read
In one paragraph

Article in JSES reviews, reports, and techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Neel BhardwajUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.
Rachit SaggarUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.
Sahil DadooUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.
Prabhjot SinghIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Ryan GilbertUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.
Siya BhardwajDepartment of Psychology, University of California, Los Angeles, CA, USA.
Jonathan YangUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Vishnu MaddipatlaUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.
Albert LinUPMC Freddie Fu Center for Sports Medicine, Department of Orthopaedic Surgery, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite significant technological advancement in the field of shoulder arthroscopy, there remains limited evaluation of the evolution and categorization of shoulder arthroscopy patents. This bibliometric and patent analysis was performed to address this gap by systematically evaluating the most influential shoulder arthroscopy patents. The primary purpose of this study was to characterize the 100 most-cited shoulder arthroscopy patents by category of innovation and to analyze differences in citation metrics, including age-adjusted citation rates, and temporal trends across categories. Methods: The Lens patent database was searched for patents containing "arthroscop∗" and "shoulder" in titles, abstracts, or claims, restricted to medical patents using Cooperative Patent Classification code A61. Patents were manually screened for relevance, ranked by forward citations, and the top 100 categorized into 6 groups: Arthroscopic Instruments, Fixation, Implants, Orthobiologic/Pharmacologic/Regenerative Medicine (OPR), Access and Retraction, and Computer-guided Systems. Non-parametric statistics compared forward citation counts and age-adjusted citation rates across categories. Significance was set at Results: Of 579 unique patents identified, 261 remained after screening. Among the top 100, median forward citation count was 97 (interquartile range: 26-188). Arthroscopic Instruments were most frequent (42%), followed by Fixation (19%), OPR (17%), Implants (15%), Access and Retraction (5%), and Computer-guided Systems (2%). Fixation patents had the highest median forward citation count (177, interquartile range: 92-308, Conclusion: Arthroscopic Instruments and Fixation patents comprised more than half of the top 100 most-cited shoulder arthroscopy patents. Fixation patents demonstrated the highest citation impact, including the highest age-adjusted citation rate, a metric that showed no significant correlation with patent age and may therefore more reliably reflect technological influence independent of temporal bias. Age-adjusted citation rates and temporal trend analyses revealed a shifting patent landscape, with increasing innovation in Implants and OPR categories over time. This bibliometric and patent analysis characterizes the shoulder arthroscopy patent landscape and may serve as a resource for researchers, clinicians, and industry stakeholders seeking to identify areas of continued innovation.

Indexed as

Arthroscopic instrumentsCitation analysisFixation devicesMedical device patentsPatent analysisShoulder arthroscopySurgical innovationsSuture anchors

Identifiers

PMID42630751
PMCPMC13495376

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.