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Record W2968888937 · doi:10.1111/edt.12508

Prevalence of dentofacial injuries among combat sports practitioners: A systematic review and meta‐analysis

2019· review· en· W2968888937 on OpenAlex
Helena Polmann, Gilberto Melo, Jéssica Conti Réus, Fábio Luiz Domingos, Beatriz Dulcinéia Mendes de Souza, Ana Clara Loch Padilha, Thaís Mageste Duque, André Luís Porporatti, Carlos Flores‐Mir, Graziela De Luca Canto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDental Traumatology · 2019
Typereview
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsUniversity of Alberta
FundersFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsChecklistMedicineMeta-analysisPhysical therapyMartial artsGrading (engineering)Critical appraisalDentistryPsychologyAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Background/Aim Combat sports might result in injuries to the face and teeth. However, it is unclear how often they occur and which sports presents the highest rates. The aim of this study was to investigate the prevalence of dentofacial injuries in combat sports participants. Material and Methods A systematic review was performed. Six main electronic databases and three grey literature databases were searched. Studies were blindly selected by two reviewers based on pre‐defined eligibility criteria. Studies that evaluated the prevalence of dentofacial injuries (teeth, alveolar bone, jaw, lips, and/or cheekbones) among combat sports participants were considered eligible. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. The software r statistics version was used to perform all meta‐analyses. Cumulative evidence of the included articles was evaluated using GRADE criteria (Grading of Recommendations Assessment, Development and Evaluation). Results From 1104 articles found on all databases, 27 were finally included. Eighteen studies were judged at low, seven at moderate, and two at high risk of bias. The following sports were investigated: boxing, capoeira, fencing, jiu‐jitsu, judo, karate, kendo, kickboxing, kung fu, muay thai, sumo, taekwondo, wrestling, and wushu. Results from the meta‐analysis suggested a dental pooled prevalence of 25.2% (12.3%‐40.8%, i 2 = 100%) and dentofacial pooled prevalence of 30.3 (18.1%‐44.1%, i 2 = 100%). Considering the sports' categories individually, jiu‐jitsu had the highest pooled prevalence of dentofacial injuries (52.9% [37.9%‐67.8%, i 2 = 92%]), while judo was the sport with the lowest pooled prevalence (25.0% [7.6%‐48.2%, i 2 = 98%]). Among Panamerican sports, boxing had the highest prevalence of dental injuries (73.7% [58.7%‐86.3%, i 2 = 0%]). For dentofacial injuries, the GRADE criteria were considered low. Conclusions Overall pooled prevalence of dentofacial injuries in combat sports was approximately 30%. Raising awareness regarding the frequency of these injuries might encourage the use of protective devices and reduce complications related to these incidents.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.146
GPT teacher head0.470
Teacher spread0.324 · 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