Evidence map›Paper›PMID 42016543›Full record

ReviewJSES reviews, reports, and techniques2026

A bibliometric and thematic analysis of the 100 most cited articles on posterior shoulder instability.

Michael Nocek, Alan D Villegas Meza, Caroline B Herrmann, Tyler J Uppstrom, Nolan A Kim, Aidan Sokup, Ayham Jaber, Lorenz Fritsch, Peter J Millett

Abstract readReview
In one paragraph

Review 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.

Michael NocekSteadman Philippon Research Institute, Vail, CO, USA.
Alan D Villegas MezaSteadman Philippon Research Institute, Vail, CO, USA.
Caroline B HerrmannSteadman Philippon Research Institute, Vail, CO, USA.
Tyler J UppstromSteadman Philippon Research Institute, Vail, CO, USA.
Nolan A KimSteadman Philippon Research Institute, Vail, CO, USA.
Aidan SokupSteadman Philippon Research Institute, Vail, CO, USA.
Ayham JaberSteadman Philippon Research Institute, Vail, CO, USA.
Lorenz FritschSteadman Philippon Research Institute, Vail, CO, USA.
Peter J MillettSteadman Philippon Research Institute, Vail, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypothesis/Background: Posterior shoulder instability (PSI) is clinically significant but historically underrecognized, and the most influential studies shaping the field have not been systematically evaluated. The purpose of this study was to identify and analyze the 100 most cited articles on PSI, characterizing trends, contributors, and the frequency of themes within this citation-ranked sample. Methods: Web of Science Core Collection was searched through June 2025 to identify the 100 most cited PSI articles. Two reviewers independently screened titles, abstracts, and full text. Extracted data included citation count/rate, year, journal, authorship, institution, level of evidence, clinical categorization, and thematic focus. Level of evidence was assigned by 2 reviewers, and journal impact was assessed using the 2023 Journal Citation Reports Impact Factor. Spearman correlation and analysis of variance were performed. Bibliometric visualization descriptively summarized collaboration patterns and keyword trends. Results: The 100 most-cited PSI articles were published from 1978 to 2021; citations ranged 28-160 (mean 60.3 ± 33.1). Most were published in the 2010s (45%) and originated from the United States (65%). The American Journal of Sports Medicine published the most articles (n = 32). Level IV was most common (52%); citation count did not differ by level of evidence, although level II studies more often appeared in higher-impact journals. Clinical entity stratification showed chronic/recurrent PSI predominated (65%), followed by mixed/unclear cohorts (19%) and locked posterior dislocation (12%); acute traumatic posterior dislocation was least represented (4%). Most represented institutions included Steadman Philippon Research Institute, Naval Medical Center San Diego (U.S. Navy), Burke & Bradley Orthopedics, and Sungkyunkwan University. James Bradley, Matthew Provencher, and Justin Arner were the most prolific authors. Most articles addressed surgical treatment and outcomes (67%). Recent trends emphasized glenoid bone loss, revision stabilization, and incidence-based epidemiology in high-demand populations. Conclusion: The top-cited PSI literature is dominated by surgical treatment/outcomes, is largely Level IV, and is concentrated in the United States and a small number of high-output institutions and authors. Clinical categorization shows it primarily reflects chronic/recurrent PSI, with locked posterior dislocation represented more than acute traumatic events. Recent highly cited work increasingly focuses on posterior glenoid bone loss, revision stabilization, and incidence-based epidemiology in high-risk populations. Although citation count is an imperfect proxy for influence, lower citation prominence was observed for diagnostic pathways, biomechanics/pathoanatomy, and population-based epidemiology. This pattern may reflect citation behavior or established consensus with incremental follow-on work, but may also indicate domains where additional high-quality prospective and population-based research remains valuable.

Indexed as

Authorship trendsBibliometric analysisCitation trendsPosterior shoulder instabilityResearch contributionsShoulder surgery

Identifiers

PMID42016543
PMCPMC13092684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.