A New Regression Model Based on Salivary Biomarkers, Chronological Age and Gender to Predict the Stage of Cervical Vertebral Maturation in Orthodontic Patients.
The notably larger predictive ability of the new model which combined gender with chronological age, salivary alkaline phosphatase, and salivary insulin-like growth factor-1 might be responsible for the identification of the optimal orthodontic treatment timing in an objective and less invasive manner in healthy growing individuals.
Authors
- Hamidreza Pakshir (ORCID: https://orcid.org/0000-0001-9891-799X)
- Maryam Zahed (ORCID: https://orcid.org/0000-0002-0083-9020)
- Shabnam Ajami (ORCID: https://orcid.org/0000-0002-7196-4187)
- Asma Sookhakian (ORCID: https://orcid.org/0000-0002-6112-6796)
- Maryam Zangooi Booshehry
Institutions
- Shiraz University of Medical Sciences (IR)
Publication Details
- Journal
- PubMed
- Published
- 2025-09-01
- DOI
- https://doi.org/10.30476/dentjods.2025.103220.2431
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79