Systematic Review of Prognosis Models in Predicting Tooth Lo…
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Work Details
- DOI 10.1177/00220345241237448
- PMID https://pubmed.ncbi.nlm.nih.gov/38726948
- OpenAlex ID W4396812938
- Type Review
- Language EN
- Published 10 May 2024
- Volume 103 (6)
- Pages 596–604
- Source Journal of Dental Research
- Publisher SAGE Publishing
- FWCI 1.86
- Countries 1
- Institutions 3
- Added 11 May 2024
- Updated 31 Oct 2026
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Systematic Review of Prognosis Models in Predicting Tooth Loss in Periodontitis
Review 2024 EN
This study reviews and appraises the methodological and reporting quality of prediction models for tooth loss in periodontitis patients, including the use of regression and machine learning models. Studies involving prediction modeling for tooth loss in periodontitis patients were screened. A search was performed in MEDLINE via PubMed, Embase, and CENTRAL up to 12 February 2022, with citation chas…
23
Citations
55
References
3
Authors
1.86
FWCI
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Dian Yi Chow | National Dental Centre of Sing… (SG) | |
| 2 | John Rong Hao Tay Corresponding | National Dental Centre of Sing… (SG) | |
| 3 | Gustavo G. Nascimento | SingHealth Duke-NUS Academic M… (SG) Duke-NUS Medical School (SG) +1 |
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