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Record W4379179111 · doi:10.51642/ppmj.v26i1.171

INCIDENCE OF TRAUMA TO ANTERIORS AND ITS ASSOCIATED ETIOLOGICAL RISK FACTORS:

2015· article· en· W4379179111 on OpenAlexaff
MARZIYA, JAVARIA INAM, Maryam Virda, Bader Munir

Bibliographic record

VenuePakistan Postgraduate Medical Journal · 2015
Typearticle
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsEtiologyMedicineIncidence (geometry)DentistryOverjetRisk factorDental traumaInternal medicineMalocclusion

Abstract

fetched live from OpenAlex

Objectives: Aim of this study was to see the incidence of TDIs particularly to anteriors and their associated presenting complaints, etiological and risk factors reported to OPD of Operative Department of De ’Mont Morency College of Dentistry. Methods: A proforma comprising of pre designed questions was used to do a cross- sectional survey, which included all the incoming patients having a history of dental trauma particularly to anterior teeth over a period of 7 months from Jan 2017 till July 2017.Results: Total number of 129 trauma patients were considered. In these patients, 58.9% were males and 40.3% females.10-20 years age group was considered as most common. N= 53.5% patients got greater than normal overjet which is more than half. And competency of lip was found in 67.4% of patients and absent in 31.8% of patients.
 Conclusion: The concept behind studying various etiological and risk factors is to facilitate the planning of preventive measures for traumatic dental injuries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.117
GPT teacher head0.455
Teacher spread0.338 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venuePakistan Postgraduate Medical JournalSame topicDental Trauma and TreatmentsFrench-language works237,207