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Record W4282918244 · doi:10.1111/scd.12745

Dental caries status in individuals with hearing difficulties: A systematic review and meta‐analysis

2022· review· en· W4282918244 on OpenAlexaboutno aff
Upendra Singh Bhadauria, Bharathi Purohit, Deepali Agarwal, Harsh Priya

Bibliographic record

VenueSpecial Care in Dentistry · 2022
Typereview
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisMEDLINESystematic reviewScopusWeb of scienceDentistryCross-sectional studyFamily medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

AIMS: The purpose of the systematic review and meta-analysis was to assess the dental caries status in individuals with hearing difficulties. METHODS AND RESULTS: Searches were conducted in six databases with no restriction on publication date. The cross-sectional and comparative cross sectional studies assessing the dental caries status of hearing impaired individuals using standardized evaluation criteria were included. PubMed, Web of Science, Cochrane, Wiley Online, Lilacs, and Scopus databases were searched to identify the relevant papers published before August 1, 2021. The risk of bias assessment was carried out by New Castle Ottawa Quality Assessment Scale. Three thousand three hundred thirty five potentially relevant references were identified in the systematic literature search. Thirteen relevant publications that fulfilled the eligibility criteria were included in the systematic review and the meta analysis. The overall analysis of the included studies revealed pooled dental caries prevalence of 58.0% (95% CI 0.41-0.74) among the hearing impaired individuals. The overall dental caries experience of the included studies showed a mean pooled DMFT of 2.68 (95% CI 1.24-4.12). CONCLUSION: The present systematic review and meta-analysis reported high dental caries prevalence in hearing impaired individuals.

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 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 score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.359
Teacher spread0.306 · 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

Citations10
Published2022
Admission routes1
Has abstractyes

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