THE INTERPLAY BETWEEN DOWN’S SYNDROME AND PERIODONTITIS: A REVIEW OF CURRENT INSIGHTS
Bibliographic record
Abstract
Periodontitis is a chronic inflammatory disease which can affect all age groups depending on the etiology either local or systemic. Most of systemic conditions cause periodontitis and one of them is downs syndrome which is also called trisomy 21. It was also observed that 90% of downs syndrome children have periodontal disease (PD) with majority in the age group of 7-10 years. Due to anatomical abnormalities or impaired learning disabilities or intra oral tissue abnormalities or neurological deficiencies, Down’s syndrome patients cannot maintain their oral hygiene properly leading to progressive periodontitis. Other immunological abnormalities such as proteolytic enzyme deficiency, inflammatory cytokine deficiencies can also aggravate tissue destruction and bone resorption. Therapeutic treatment protocols such as scaling and root planing, use of mouth washes, electric tooth brushes, regular dental checkups and non–invasive procedures such as photodynamic therapy, laser, probiotics etc. can help the patient’s periodontal tissues to stay healthy. An initial search of 437 articles from PUBMED, EMBASE, Cochrane library, web of science, and google scholar was done. 22 articles were excluded records excluded due to inappropriate title and abstract. 72 articles were excluded after abstract screening and 89 full text articles were assessed. 32 articles were excluded as outcome of interest was not reported and 21 due to incorrect study design. A final of 36 articles were studied to elaborate the review on Down’s syndrome and periodontitis.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".