Evidence map›Paper›PMID 42657428›Full record

ArticleOrthopedic reviews2026

Biomechanics and Injury Risk in Dance: A Bibliometric Analysis.

Annabel Lu, Vedha Dande, Omar Viswanath, Latha Ganti

Abstract read
In one paragraph

Article in Orthopedic reviews, 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

4 authors.

Annabel LuWestwood HS.
Vedha DandeCornell University.ORCID https://orcid.org/0009-0006-6993-4786
Omar ViswanathCreighton University School of Medicine.ORCID https://orcid.org/0000-0002-6124-7037
Latha GantiThe Warren Alpert Medical School of Brown University.ORCID https://orcid.org/0000-0001-7717-3864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There are many physical demands in dance which require intense training and whole body usage. As people continue to dance, injuries remain a primary issue. Research has associated injuries from dance with overuse, extensive training, and biomechanical risks which lead to pain, long-term physical and psychological effects, and even removal from dance. This bibliometric analysis aims to analyze global research of injury risks from dance movements. Methods: A bibliometric analysis was conducted using the Web of Science database to identify publications related to dance biomechanics and injury risks. A boolean search strategy was developed incorporating three conceptual domains without restrictions: (1) dance, (2) biomechanics, and (3) injury risk. VOSviewer was used to analyze publications by country, co-authorship networks, and collaboration patterns. Analysis on number of yearly publications and top cited authors were performed using Microsoft Excel. Results: In total, 1,660 publications were identified. An overall increase in annual publications was found from 2002-2025 with the highest number, 110 publications, produced in 2018. The US produced the most publications (507), followed by England and China. The most common keywords found were "dance" and "biomechanics." Co-authorship analysis identified three distinct networks of collaboration with author "Cortes, Nelson" serving as the primary connection. The top cited publication was produced by Bittencourt et al. in 2016 with 587 citations. Conclusion: Research in dance movements and injury risks has grown over the years. Future research should emphasize expanding studies into other genres of dance while also focusing on ways to help prevent injuries in dancers.

Indexed as

bibliometricbiomechanicsdance

Identifiers

PMID42657428
PMCPMC13512468

What OpenQuestion holds

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Read underepoch 390

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.