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Clinical and epidemiological characteristics of the frequency and structure of edentulism in elderly and senile people of the Republic of Sakha (Yakutia)

2023· article· en· W4388131307 on OpenAlexaboutno aff
N.I. Borisov, I.D. Ushnitsky

Bibliographic record

VenueEndodontics Today · 2023
Typearticle
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsEdentulismDenturesMedicineDentistryOrthopedic surgeryTooth lossAge groupsElderly peoplePopulationQuarter (Canadian coin)OrthodonticsGerontologyDemographySurgeryOral health

Abstract

fetched live from OpenAlex

Aim. Based on the results of the study of the frequency and structure of complete loss of teeth in the upper and lower jaws, to determine the need of elderly and senile people in prosthetics with complete removable orthopedic structures. Materials and methods. A dental examination was carried out in 5,791 people aged 60 to 93 years. At the same time, on the recommendation of WHO, a key age group of 65-74 years was formed. The study took into account the topography of the absence of teeth, gender, age, the presence and evaluation of previously manufactured complete removable dentures and the need for prosthetics. Results. A high prevalence of complete loss of teeth on the upper and lower jaws was found in the examined age groups of elderly and senile age. The largest proportion of complete loss of teeth of the upper and lower jaws was revealed in the age group of 75-84 years. At the same time, in elderly people, complete adentia is detected mainly in women, since men occupy a quarter of the gender ratio. Meanwhile, taking into account the indications for reprosthetics and the absence of prostheses with complete loss of teeth, the need for the manufacture of orthopedic structures in the form of complete removable prostheses in the surveyed population is determined. Conclusions. The obtained results dictate the need to improve orthopedic rehabilitation of patients with complete loss of teeth in the upper and lower jaws, taking into account the data obtained on the structure and frequency of complete loss of teeth in elderly and senile people.

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)0.001
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.292
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 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
Published2023
Admission routes1
Has abstractyes

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