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Record W2782464960 · doi:10.25301/jpda.262.72

Effects on Alkaline Phosphatase Level in Crevicular Fluid Produced by Rapid Palatal Expansion with Hyrax Expander

2017· article· en· W2782464960 on OpenAlexaff
Ahmad Shamim, Waheed-ul- Hamid, Muhammad Ilyas, Samina Qadir, Ushna Ahmad

Bibliographic record

VenueJournal of The Pakistan Dental Association · 2017
Typearticle
Languageen
FieldDentistry
TopicOrthodontics and Dentofacial Orthopedics
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsHyraxDentistryAlkaline phosphataseMedicineBuccal administrationChemistryEnzyme

Abstract

fetched live from OpenAlex

Introduction: Rapid maxillary expansion (RME) is a dramatic and preferred procedure having a history of over 100 years. When a transverse maxillary Arch is diagnosed it is corrected by doing RME. Although several studies have been done in last four decades on gingival crevicular fluid, no data have been reported on the repeatability of gingival crevicular fluid collection and then following its quantification procedure. The objectives of this study were to examine the changes in alkaline phosphatase (ALP) activities in gingival crevicular fluid (GCF) during rapid palatal expansion and in retention period by hyrax, and to explore the relationship between these changes and periodontal tissue remodeling. Methodology: Seventeen patients with age between 9-14 years were selected according to inclusion and exclusion criteria. Periodontal parameters, including probing depth, were recorded at 3 months after RME. Furthermore, the GCF ALP activity was measured at the buccal and palatal sites. Results: Periodontal parameters were generally similar between the Testing and Control sites during the study, with the exception that probing depth underwent a slight increase at the Testing sites. It was observed that at baseline, the GCF ALP activity was similar between the buccal and Control sites; however, at 3 months of retention period a significantly greater enzymatic activity was seen at the Testing sites.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.086
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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.

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
Published2017
Admission routes1
Has abstractyes

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