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Record W2982377885 · doi:10.1177/0301574219877728

An Insight into the Role of the Maxillary Labial Frenum in the Growth of the Maxilla: A Systematic Review

2019· review· en· W2982377885 on OpenAlexaboutno aff
Rajani Elayadath Rajagopalan, Biswas Palakunnu Padmaprabha

Bibliographic record

VenueThe Journal of Indian Orthodontic Society · 2019
Typereview
Languageen
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistMedicineMaxillaDentistryGingival marginStrengths and weaknessesSample size determinationMeta-analysisOrthodonticsSystematic reviewPopulationMEDLINEPsychology

Abstract

fetched live from OpenAlex

Background: The review attempts to provide synthesis of published studies evaluating the influence of an aberrant frenum attached close to the gingival margin or with inadequate width of attached gingiva on the growth of the maxilla. Methodology: This review was reported using the PRISMA checklist as a template. PubMed, EBSCO and Google scholar were searched for in earlier publications up to January 2019. In addition, reference lists of the included studies were hand searched. The eligibility criteria were listed out based on Population, Intervention, Comparison, Outcome, Study type (PICOS) concept. Results: A total of 148 articles were found by database search strategies and 27 additional studies by hand search. Finally three cross sectional and one longitudinal study were selected based on the eligibility criteria. A meta-analysis was not justified. Risk of bias was assessed using AXIS tool for cross sectional studies and Newcastle-Ottawa scale for longitudinal study. Common weaknesses of the studies were failure to justify or calculate the sample size and insufficient statistical reporting. Conclusion: This review reveals that there is a need for methodologically standardized studies that will throw light on to the physiological importance of labial frenum in the growth of the nasomaxillary complex.

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.099
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0010.003
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 head0.054
GPT teacher head0.386
Teacher spread0.331 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2019
Admission routes1
Has abstractyes

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Same venueThe Journal of Indian Orthodontic SocietySame topicOral and Craniofacial LesionsFrench-language works237,207