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Record W4404301891 · doi:10.4103/jpbs.jpbs_998_24

Efficacy of Oral Hygiene Aids in Gingivitis Management: A Comparative Study of Manual and Electric Toothbrushes, Dental Floss, and Mouthwash

2024· article· en· W4404301891 on OpenAlexaff
Civy V Pulayath, Fathimath Al Zahrath, Ajith A. Chandy, Harish Chandran

Bibliographic record

VenueJournal of Pharmacy And Bioallied Sciences · 2024
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsConfederation College
Fundersnot available
KeywordsDental flossGingivitisMedicineDentistryOral hygieneOrthodontics

Abstract

fetched live from OpenAlex

A BSTRACT Background: Gingivitis is a prevalent oral health issue characterized by inflammation of the gums, often resulting from inadequate plaque removal. Materials and Methods: A randomized controlled trial was conducted with 120 participants diagnosed with gingivitis, aged 18 to 65 years. Participants were divided into four groups: Group A used a manual toothbrush, Group B used an electric toothbrush, Group C used dental floss in addition to manual brushing, and Group D used mouthwash in addition to manual brushing. The study duration was eight weeks, with gingival index (GI) scores recorded at baseline, four weeks, and eight weeks. Plaque index (PI) and bleeding on probing (BOP) were also assessed as secondary outcomes. Results: At the end of eight weeks, Group B (electric toothbrush) showed the most significant reduction in gingival index scores (mean reduction: 1.2, P < 0.01), followed by Group D (mouthwash) with a mean reduction of 1.0 ( P < 0.05). Group C (dental floss) exhibited a moderate reduction (mean reduction: 0.8, P < 0.05), while Group A (manual toothbrush) had the least improvement (mean reduction: 0.5, P = 0.08). Plaque index and bleeding on probing results followed a similar trend, with the electric toothbrush group demonstrating superior outcomes. Conclusion: The study concludes that electric toothbrushes are more effective in managing gingivitis compared to manual toothbrushes, dental floss, and mouthwash.

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)0.000
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 score0.156
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.054
GPT teacher head0.397
Teacher spread0.344 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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