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Record W4411054713 · doi:10.1097/scs.0000000000011198

The Evolution of Research on Orbital Floor Fractures: A Bibliometric Analysis

2025· article· en· W4411054713 on OpenAlexaff
Savannah C. Braud, Tanya Boghosian, Yousif F Jubouri, Rawan ElAbd, Marwan Sheckley, Sinan Jabori, Seth R. Thaller

Bibliographic record

VenueJournal of Craniofacial Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSubject (documents)Web of scienceBibliometricsMEDLINELibrary scienceMeta-analysisComputer sciencePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Orbital floor fractures present complex functional and aesthetic challenges for surgeons. A review of the most influential literature in this area can help clinicians gain a deeper understanding of current research trends and inform evidence-based treatment strategies. METHODS: The Clarivate Web of Science database was used to identify the 50 most-cited articles on orbital fractures. A bibliometric analysis was conducted to assess publication metrics, including authorship, year of publication, level of evidence classification, and country of origin, as well as to identify emerging research topics. RESULTS: The top 50 most-cited articles, published between 1957 and 2017, accumulated a total of 5618 citations. "Clinical Recommendations for Repair of Isolated Orbital Floor Fractures-An Evidence-based Analysis" by Burnstine received the highest number of citations (n = 294), followed by "Nonsurgical Management of Blow-out Fractures of Orbital Floor" (n = 211) by Putterman and colleagues, and "Intervention Within Days for Some Orbital Floor Fractures: The White-eyed Blowout" (n = 200) by Jordan and colleagues. Ellis authored the highest number of studies (n = 3), and the United States led in publication output (n = 23). CONCLUSION: Bibliometric analysis of influential research on orbital fractures helps clinicians navigate the extensive body of literature on the subject. Furthermore, understanding key research trends enables clinicians to refine their clinical practices and stay informed about evolving research trends.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0680.103
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.393
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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