Evidence map›Paper›PMID 40376319›Full record

ReviewCureus2025

Global Publication Pattern in Ankle Arthroscopy: A Scopus®-Indexed Bibliometric Visualization Analysis.

Tauseef Ahmad, Kaylem M Feeney

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

2 authors.

Tauseef AhmadSchool of Public Health, Zhejiang University, Hangzhou, CHN.
Kaylem M FeeneyOrthopaedics, University Hospital Galway, Galway, IRL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankle arthroscopy has become a common procedure performed by foot and ankle surgeons worldwide in the evaluation and management of ankle pathology. This study aimed to assess and characterize the global trends and network collaboration in ankle arthroscopy research. A retrospective bibliometric study was conducted using predefined keywords. The data utilized in this study were extracted from the Scopus® database. The data were imported into Bibliometrix, an R-tool for prerequisite analysis and network collaboration mapping. A total of 938 peer-reviewed publications (original articles = 778, review articles = 160) were analyzed and characterized. The included articles were published in English between 1973 and 2021. These articles were published in 175 journals and were authored by 2,708 authors. The collaboration index among the authors was 3.08. The most frequent year of publication was 2020 (n = 84). The overall annual scientific growth rate was 10.41%. The top-ranked core journal in ankle arthroscopy was "Foot and Ankle International" (n = 121). The most frequently appeared affiliations were North District Hospital (n = 50), Harvard Medical School (n = 46), and University of Amsterdam (n = 44). The largest number of publications was produced in the United States (n = 376), followed by the United Kingdom (n = 107) and Japan (n = 68). The most studied trend topics were arthroscopy, human, male, adult, and female. The largest portion of the included publications was produced in developed countries, although it is possible that the exclusion of studies published in a language other than English may have influenced these results. The United Kingdom had the strongest collaboration with Italy, France, and Spain. However, the United States had the strongest collaboration with Italy, Spain, and the United Kingdom.

Indexed as

analysisankle and footarthroscopybibliometricsnetwork collaboration

Identifiers

PMID40376319
PMCPMC12080452

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.